Executive summary
This study examines how public writers associated with recent Ivy League admissions described academic interests, campus communities, and reasons to attend. It retains 15 core-source application records and a separately labeled extension of 42 essay-library records, covering applications associated with fall entry in 2024–2026. Tables show each school's denominator and the number of records mentioning each topic. Curricula, academic questions, organizations, research, and community appear in different combinations; small and uneven samples prevent a ranking of what admitted students generally prefer. Public admission labels are not confidential-file verification, and no finding establishes that an essay feature caused acceptance. The practical value is a traceable account of how particular writers connected their experiences to a proposed education, with current prompt checks and a free research worksheet.
The sample, before the story
57 application-associated records; 120 eligible answers; eight institutions. The core contains university-hosted accounts, identifiable students' readings, and explicitly dated publisher examples. The extension contains public essay-library acceptance labels that remain unverified. The combined total is not a count of confirmed unique students, and the sample is not nationally representative.
| College | Core records | Core answers | Library records | Library answers | Combined records |
|---|---|---|---|---|---|
| Brown | 1 | 1 | 8 | 24 | 9 |
| Columbia | 1 | 1 | 12 | 35 | 13 |
| Cornell | 0 | 0 | 7 | 16 | 7 |
| Dartmouth | 4 | 4 | 4 | 4 | 8 |
| Harvard | 3 | 5 | 0 | 0 | 3 |
| Penn | 1 | 1 | 11 | 21 | 12 |
| Princeton | 2 | 3 | 0 | 0 | 2 |
| Yale | 3 | 5 | 0 | 0 | 3 |
Study cycles: 2023–24, 2024–25, and 2025–26, associated with fall 2024–2026 entry. A recently updated webpage does not establish a recent application. Cornell's core column is unavailable because no complete, dated, relevant core-source case was retained; its library extension remains visible with its separate qualification.
Map the topics across the eight schools
Read every cell as mentions / retained records. Darker shading means a greater share within that small sample, not greater admissions value. One record can mention several topics. Core results appear first; inspect the additional views to see how source inclusion changes the pattern.
Core-source records
| Topic | Brownn=1 | Columbian=1 | Cornelln=0 | Dartmouthn=4 | Harvardn=3 | Pennn=1 | Princetonn=2 | Yalen=3 |
|---|---|---|---|---|---|---|---|---|
| Curricular structure | 1/1 | 0/1 | Unavailable | 3/4 | 0/3 | 0/1 | 1/2 | 1/3 |
| Academic field | 1/1 | 1/1 | Unavailable | 4/4 | 3/3 | 0/1 | 2/2 | 3/3 |
| Named course | 1/1 | 0/1 | Unavailable | 2/4 | 2/3 | 0/1 | 1/2 | 0/3 |
| Faculty or laboratory | 1/1 | 0/1 | Unavailable | 1/4 | 1/3 | 0/1 | 1/2 | 0/3 |
| Research opportunities | 1/1 | 0/1 | Unavailable | 1/4 | 2/3 | 0/1 | 1/2 | 2/3 |
| Applied or experiential learning | 0/1 | 0/1 | Unavailable | 3/4 | 2/3 | 1/1 | 2/2 | 0/3 |
| Student organizations | 0/1 | 1/1 | Unavailable | 4/4 | 1/3 | 1/1 | 1/2 | 1/3 |
| Campus community | 0/1 | 1/1 | Unavailable | 4/4 | 2/3 | 1/1 | 1/2 | 2/3 |
| Contribution or service | 0/1 | 1/1 | Unavailable | 3/4 | 2/3 | 1/1 | 1/2 | 1/3 |
| Location or setting | 0/1 | 0/1 | Unavailable | 3/4 | 0/3 | 1/1 | 0/2 | 0/3 |
| Interdisciplinary connection | 1/1 | 0/1 | Unavailable | 2/4 | 2/3 | 0/1 | 2/2 | 3/3 |
| Personal continuity | 1/1 | 1/1 | Unavailable | 3/4 | 3/3 | 1/1 | 2/2 | 3/3 |
Essay-library records only
| Topic | Brownn=8 | Columbian=12 | Cornelln=7 | Dartmouthn=4 | Harvardn=0 | Pennn=11 | Princetonn=0 | Yalen=0 |
|---|---|---|---|---|---|---|---|---|
| Curricular structure | 8/8 | 10/12 | 2/7 | 1/4 | Unavailable | 6/11 | Unavailable | Unavailable |
| Academic field | 8/8 | 12/12 | 6/7 | 4/4 | Unavailable | 10/11 | Unavailable | Unavailable |
| Named course | 6/8 | 8/12 | 4/7 | 1/4 | Unavailable | 3/11 | Unavailable | Unavailable |
| Faculty or laboratory | 4/8 | 5/12 | 2/7 | 3/4 | Unavailable | 5/11 | Unavailable | Unavailable |
| Research opportunities | 5/8 | 9/12 | 6/7 | 3/4 | Unavailable | 6/11 | Unavailable | Unavailable |
| Applied or experiential learning | 2/8 | 5/12 | 5/7 | 0/4 | Unavailable | 8/11 | Unavailable | Unavailable |
| Student organizations | 4/8 | 6/12 | 4/7 | 1/4 | Unavailable | 10/11 | Unavailable | Unavailable |
| Campus community | 8/8 | 11/12 | 6/7 | 4/4 | Unavailable | 11/11 | Unavailable | Unavailable |
| Contribution or service | 8/8 | 10/12 | 7/7 | 2/4 | Unavailable | 11/11 | Unavailable | Unavailable |
| Location or setting | 2/8 | 7/12 | 2/7 | 0/4 | Unavailable | 1/11 | Unavailable | Unavailable |
| Interdisciplinary connection | 8/8 | 11/12 | 5/7 | 1/4 | Unavailable | 8/11 | Unavailable | Unavailable |
| Personal continuity | 8/8 | 12/12 | 7/7 | 4/4 | Unavailable | 11/11 | Unavailable | Unavailable |
Core and essay-library records combined
| Topic | Brownn=9 | Columbian=13 | Cornelln=7 | Dartmouthn=8 | Harvardn=3 | Pennn=12 | Princetonn=2 | Yalen=3 |
|---|---|---|---|---|---|---|---|---|
| Curricular structure | 9/9 | 10/13 | 2/7 | 4/8 | 0/3 | 6/12 | 1/2 | 1/3 |
| Academic field | 9/9 | 13/13 | 6/7 | 8/8 | 3/3 | 10/12 | 2/2 | 3/3 |
| Named course | 7/9 | 8/13 | 4/7 | 3/8 | 2/3 | 3/12 | 1/2 | 0/3 |
| Faculty or laboratory | 5/9 | 5/13 | 2/7 | 4/8 | 1/3 | 5/12 | 1/2 | 0/3 |
| Research opportunities | 6/9 | 9/13 | 6/7 | 4/8 | 2/3 | 6/12 | 1/2 | 2/3 |
| Applied or experiential learning | 2/9 | 5/13 | 5/7 | 3/8 | 2/3 | 9/12 | 2/2 | 0/3 |
| Student organizations | 4/9 | 7/13 | 4/7 | 5/8 | 1/3 | 11/12 | 1/2 | 1/3 |
| Campus community | 8/9 | 12/13 | 6/7 | 8/8 | 2/3 | 12/12 | 1/2 | 2/3 |
| Contribution or service | 8/9 | 11/13 | 7/7 | 5/8 | 2/3 | 12/12 | 1/2 | 1/3 |
| Location or setting | 2/9 | 7/13 | 2/7 | 3/8 | 0/3 | 2/12 | 0/2 | 0/3 |
| Interdisciplinary connection | 9/9 | 11/13 | 5/7 | 3/8 | 2/3 | 8/12 | 2/2 | 3/3 |
| Personal continuity | 9/9 | 13/13 | 7/7 | 7/8 | 3/3 | 12/12 | 2/2 | 3/3 |
No library extension was retained for Harvard, Yale, or Princeton. Their combined columns repeat the core. This is a bounded source search with uneven coverage, not a census of public essays.
What a successful essay can—and cannot—reveal
The essay archive on the open internet offers an appealing promise. A student has been admitted to a college that turns away most applicants. Somewhere in the pages that student submitted, a family hopes to find the explanation. Read enough of those pages, the thinking goes, and a pattern ought to emerge: the right research institute to mention, the right description of community, the right reason to want an education in that particular place.
There is a real question underneath that hope. When students who report successful Ivy League applications explain why a university interests them, what do they actually discuss? Do they describe a curriculum, a professor, a student organization, a city, an intellectual problem, or the kind of person they want to become? And do the answers differ meaningfully among the eight institutions?
This report follows those questions into public essays, student recordings, university blogs, official application instructions, and the websites that collect examples. Its central evidence is a small, documented set of publicly observable supplemental essays associated with recent reported admissions. The accompanying tables show exactly how many application records were retained for each school and how many contained each coded topic. The denominator appears beside the finding because, in this subject, the denominator can be more revealing than the percentage.
A table that says a feature appeared in every available essay may sound decisive. If there was only one eligible application, it describes one writer. A graph with many more records from one school may look like a difference in student interests. It may instead reflect a university that publishes student blogs, or a video creator who makes a complete application available. Even before reading the essays, the shape of the public archive can shape the apparent result.
The study therefore treats the archive as evidence of what particular writers said. It does not treat it as a miniature admissions office. We do not have the confidential files, the rejected applications, the readers' evaluations, or the counterfactual outcome if a sentence had been different. The public label “successful” identifies a reported admission associated with a piece of writing. It does not establish that the writing produced the admission.
That distinction makes the research more useful. A family looking for a reliable way to name three impressive opportunities is asking a question these materials cannot answer. A student trying to understand how another writer connected a past experience to a possible future can learn something concrete. The first question seeks an admissions formula. The second studies a writing decision.
The university name is only the beginning
At the broadest level, a college-specific essay has two subjects: a student and an institution. The difficulty is making the relationship between them visible. A paragraph can contain correct information about a university without revealing much about the writer. It can also tell an engaging personal story while leaving the proposed college connection unexplained. The work happens in the connection: why this feature matters to this person, and what the person proposes to do with it.
The same campus resource can support very different explanations. A course might give one student a method needed to investigate a question from a family business. Another student might value its small discussion format after discovering that debate changes how they read. A third might be attracted to the chance to examine an unfamiliar field. The name is the shared surface. The educational reason underneath it differs.
This is why a frequency study should preserve both levels. We count broad themes so readers can compare records. We also identify named opportunities so a category such as research does not erase the difference between a general hope of doing research and a specific plan to pursue an undergraduate program. Neither level alone is sufficient. Categories can become too broad to guide a student; lists of names can become instructions to imitate someone else's plans.
The school chapters move between those levels. They explain the counted evidence, identify the kinds of opportunities visible in the retained essays, and then examine what a student today can responsibly take from the example. Current university materials supply context, but they are kept outside the application-frequency counts. A program described on a university website is an available research lead; it becomes a counted essay reference only when an included writer actually discusses it.
A moving target across three admissions cycles
The study window covers applications associated with entry in fall 2024, 2025, or 2026, ordinarily the undergraduate Classes of 2028, 2029, and 2030. It does not assume that an article updated in 2026 contains an application written in 2026. The application year and the publication year are separate fields. A recent webpage can carry an old essay, and a current student can publish a retrospective description that was never part of the submitted application.
The questions themselves also move. Yale's admissions office said in its August 2026 application update that it had removed the dedicated Why Yale question after finding that revised wording still often failed to reveal useful new information about applicants. The office continued to ask about academic interests and the applicant's experiences. That change falls after the three entering cohorts examined here. It makes historical Why Yale essays relevant to this investigation without making them a template for the next application. Yale application update
There is a practical consequence for every reader. Begin a new essay with the actual question for the actual cycle and applicant route. A previous student's answer is a document from a particular moment. Its craft may remain instructive after its assignment has disappeared. Its word limit, prompt, and obligation to name campus resources may not.
The same caution applies within an institution. An application to a particular undergraduate school can ask for a different relationship between academic preparation and future study than an application elsewhere in the university. Treating a university as a single essay prompt can obscure the educational choice the applicant is being asked to explain. The Cornell and Penn chapters address that problem directly.
The headline finding is a relationship, with a visible evidence limit
The most useful way to read the tables is to ask what each reference is doing. A curriculum can explain how a student hopes to learn. A student organization can show where the writer wants to participate. A research setting can extend a question the student already knows how to ask. A community description can reveal how the writer imagines listening, contributing, or changing.
These are interpretations of the observable writing, not tests of admissions effectiveness. The report deliberately avoids ranking topics by supposed admissions value. A frequently mentioned feature may be familiar because it is prominent on a university's website, because the prompt asks about it, or because public examples come from a narrow source. A rarely mentioned feature may be important to a different student. Frequency describes the archive; relevance is a decision the next writer must make.
The investigation also exposes gaps. Some sources identify a class year but provide only an excerpt. Some reproduce a complete essay without establishing when it was submitted. Some label an application accepted without providing independent documentation. Some later reflections are valuable precisely because the student can now distinguish what they imagined from what they experienced. These materials can inform reporting, but they cannot all enter the same numerical table.
The result is intentionally auditable. Readers can move from a school count to a coded record, from that record to a public source, and from the source back to the inclusion rule. Where the available evidence is thin, the report says so. The goal is to give students a clearer view of how to investigate a college and explain a choice, while leaving the uncertainty visible enough that the findings cannot reasonably be mistaken for a recipe for admission.
Brown: Freedom Needs a Purpose
The Brown material begins with an unusually small number: one. That is the number of applicant-school cases in the main, dated corpus whose full eligible response could be inspected and whose publisher explicitly connected it to an admitted class within the study window. Eight additional public packages carry recent application-year and acceptance labels on Clastify. They appear separately in the analysis because those labels could not be independently authenticated. The difference between one and nine is the difference between disclosing the strength of the evidence and quietly enlarging it.
The single main case comes from Crimson Education. Its introduction identifies the writer with the Class of 2030, while its example headings identify the Class of 2029. Both classes fall within the research window, but the disagreement prevents a precise year assignment. The academic response links performing arts, politics and educational access through the Open Curriculum, two named courses, Bonnie Honig and an Annenberg research opportunity. It is an example of an applicant assembling an education around connected questions. It cannot establish the most popular Brown essay topics among admitted students. Source: Crimson Brown examples.
What the count actually shows
In that one main application, curricular structure, academic interests, named courses, a faculty member, research, interdisciplinary inquiry and personal continuity each appear once. Student organizations, location and peer community culture do not appear in the eligible academic response. Those zeros concern the response that was published and coded. They do not imply that the applicant lacked those interests or omitted them elsewhere in the application. A research table must preserve the boundary between an observed absence and an unknown.
The eight platform packages offer a broader but less secure view. All eight discuss curricular structure, an academic field, connections between disciplines, peer community, contribution and continuity with an existing interest or experience. Six name a course, five describe research, four identify faculty or a lab, and four mention student organizations. Two mention location. The Open Curriculum itself is explicitly named in six of eight; the broader curricular category also includes an independent concentration and language about tailoring an education. Counting those together is useful for themes, but describing all eight as literal Open Curriculum mentions would be inaccurate. Source register: Brown public packages.
The common pattern within these packages is an argument about how subjects meet. One links mathematics and music; another brings engineering to coral restoration; another combines mathematical models of nature with creative practice and sustainability. The subjects vary, while the proposed educational arrangement remains recognizable. These are textual observations within a selected public collection, not a recipe endorsed by Brown and not a ranking of academic interests by admissions value. Math/music package; coral-restoration package; mathematics/art package.
| Observed Brown theme | Main corpus | Separate platform corpus |
|---|---|---|
| Curricular structure | 1 of 1 | 8 of 8 |
| Interdisciplinary connection | 1 of 1 | 8 of 8 |
| Named course | 1 of 1 | 6 of 8 |
| Research opportunity | 1 of 1 | 5 of 8 |
| Named faculty or lab | 1 of 1 | 4 of 8 |
| Student organization | 0 of 1 | 4 of 8 |
| Location | 0 of 1 | 2 of 8 |
The table uses applications as its denominator. A package that names three courses contributes one to the named-course category. A package that discusses flexibility in two different responses contributes one to curricular structure. This prevents a longer public package from looking like several independent applicants and keeps the table focused on how many applications contain a theme.
The institution behind the phrase
Brown describes its Open Curriculum as a structure in which students take responsibility for designing their education and explore before concentrating in a field. Its official description makes self-direction central to the institution's account of undergraduate learning. That provides a reasonable context for why curricular choice appears in these essays. It does not show that merely repeating the phrase helped any applicant gain admission. Source: Brown's Open Curriculum.
There is an analytical difference between wanting options and having a reason to use them. An essay about options can remain entirely at the level of consumer preference: more freedom, more subjects, fewer restrictions. An essay that explains a connection gives the reader something to evaluate. What problem requires two approaches? What does each contribute? Why would the student pursue the connection even if one favored class changed? The evidence here supports examining that relationship as a feature of the writing; it does not support assigning it a measurable admissions advantage.
Independent concentrations illustrate another distinction. Brown's official process requires a coherent field that cannot be studied adequately within a standard concentration, a faculty sponsor and institutional review. A capstone follows approval. The opportunity therefore supplies an avenue for a carefully developed proposal; mentioning it does not establish that a high-school applicant's proposed combination has been accepted or is administratively workable. Source: Brown Independent Concentration.
That distinction matters when reading the coral-restoration package. The text proposes combining engineering and environmental study through an independent concentration. A responsible report records the proposal as the applicant's intended route. It cannot silently turn that intention into an existing approved degree plan. The broader lesson for an applicant is practical: research how a structure works before writing about what it will allow. Otherwise, specificity can create a factual vulnerability while giving the appearance of careful preparation.
Research programs raise a similar question about access. The current Annenberg Undergraduate Research Fellows program is an eight-week paid summer opportunity involving empirical social science and public policy work. Its published criteria include being a current Brown undergraduate in the first three years and completing introductory statistics before the program begins. These details describe a possible pathway with preparation and an application process. They do not imply that admission to Brown guarantees a fellowship. Source: Annenberg Undergraduate Research Fellows.
Brown's Advanced Undergraduate Research Fellowships likewise ask students to develop a proposal and work with a faculty mentor. This gives a prospective applicant a useful research question: what would I need to learn before I could contribute? That question can make an academic plan more credible than a string of eminent names. It also allows room for development. An applicant can explain an intellectual direction without pretending to possess a graduate student's complete research agenda. Source: Brown Advanced Undergraduate Research Fellowships.
Community appears because community was requested
The eight platform packages all include a future Brown community connection. Some describe cultural exchange or inclusive discussion; others propose organizing activities, sharing creative work or contributing to sustainability. That recurrence should be read alongside the questions students were answering. The historical supplement explicitly asked applicants to connect their upbringing with possible contributions. A high count of contribution language is therefore partly a feature of the instrument used to collect the writing. Historical prompt reporting: The Brown Daily Herald.
For interpretation, the important distinction is between recounting an experience and explaining what that experience might make possible with other people. A background narrative can establish identity, hardship, curiosity or belonging. A future contribution requires a further step: what practice, perspective or commitment would travel with the applicant? The coded category recognizes that step when it appears in the response. It does not rank the worth of different backgrounds, and it does not imply that personal difficulty is a prerequisite for admission.
The current prompt must also be kept separate from the historical sample. Brown's 2026–27 official page lists four general essays. The Open Curriculum question now explicitly invites reflection through qualities described in President Christina Paxson's 2025 convocation remarks. The page retains an upbringing-and-contribution response, while the teaching and joy responses have their own limits. A student applying now should work from that official current page, rather than copy the organization or length of a response submitted in an earlier cycle. Source: Brown current application questions.
For families, the small main denominator is itself a finding about what can be learned from public examples. A page may be recent while its essay is old; an acceptance label may be clear while its evidentiary basis is not. Reading a sample closely can reveal the structure of an argument even when it cannot support a population claim. Keeping those uses separate protects the useful part of the exercise. Students can ask how a writer connects interests without assuming that the public internet has supplied a reliable map of Brown's recent admitted class.
The Brown evidence ultimately supports a restrained conclusion. Curricular agency and connections between interests recur in the available texts, with clearer descriptive support in the platform collection than in the single main case. No public record here establishes whether those themes distinguish admitted applicants from rejected applicants, whether they became more common across three years, or whether any one named opportunity influenced a decision. The useful model is an intellectual connection the student can explain and sustain. The numbers describe the public writing; they do not turn that connection into a guarantee.
Columbia: A Shared Curriculum, Many Proposed Lives
The Columbia evidence presents a sharp contrast between what is familiar about the university and what is actually present in the strongest dated case. The one main-corpus response does not mention the Core Curriculum. It does not name a laboratory, a professor or New York City. The essay instead uses the writer's experience of imperfect vision to develop an interest in how people know things, then imagines contributing to philosophical conversation through Gadfly and through exchanges with peers. Crimson Education identifies the example with an admitted student in the Class of 2030. Source: Crimson Columbia examples.
This is a community response, which explains much of the emphasis. It provides evidence that an admitted student's published writing can make a campus connection through a way of thinking and a student publication. It cannot tell us what that applicant wrote in other Columbia essays, whether the Core appeared elsewhere, or how an admissions reader evaluated the response. Missing material must remain missing when a report moves from reading one essay to counting application themes.
Gadfly is a real institutional connection: Columbia's philosophy department identifies it as the undergraduate philosophy magazine. That check matters because a named publication can otherwise be mistaken for a decorative detail. Here it establishes a plausible place for the activity the writer imagines. It still does not establish membership, editorial acceptance or a guaranteed role. Source: Columbia Department of Philosophy, Gadfly.
Two denominators, two kinds of evidence
The main Columbia denominator is one applicant-school case. The separately reported platform collection initially yielded 13 free packages with recent application-year and accepted labels. A word-limit audit removed one package whose three eligible responses substantially exceeded the recent 150-word limits, leaving 12. A 159-word community response in another package was removed while its two shorter eligible responses were retained. Neither the original platform labels nor the absence of a search-engine match authenticates the remaining packages as submitted applications.
In the 12 retained packages, academic fields appear in all 12. Curricular structure appears in 10, research in 9, named courses in 8, and named faculty or laboratories in 5. Student organizations appear in 6 and location in 7. Community language appears in 11 and concrete contribution in 10; the package with its community response removed no longer receives either code. Interdisciplinary connections appear in 11. These are counts of the retained texts after exclusions, with multiple essays merged into one observation for each applicant-school package. Source register: Columbia public packages.
| Observed Columbia theme | Main corpus | Separate platform corpus |
|---|---|---|
| Curricular structure | 0 of 1 | 10 of 12 |
| Academic field | 1 of 1 | 12 of 12 |
| Research opportunity | 0 of 1 | 9 of 12 |
| Named course | 0 of 1 | 8 of 12 |
| Student organization | 1 of 1 | 6 of 12 |
| Location | 0 of 1 | 7 of 12 |
| Community/culture | 1 of 1 | 11 of 12 |
The curricular category is wider than the Core itself. Eight of the 12 retained packages explicitly invoke the Core; other curricular references concern liberal arts exploration or an integrated degree. That distinction prevents a broad code from being reported as an exact phrase count. It also reveals why coding rules should be available to readers. A chart can look precise while concealing a loose definition of what was counted.
What applicants make of the Core
In the retained platform texts, the Core serves several purposes. A computing-oriented writer connects it with exchanging perspectives; a neural-interface writer connects it with ethical inquiry; a mechanical-engineering writer treats humanities study as preparation for socially aware design. These examples do not demonstrate that the Core has one favored admissions meaning. They show how the same institutional structure can be placed inside different explanations of a prospective education. Computing package; neural-interface package; mechanical-engineering package.
Columbia College's current bulletin describes the Core as a shared intellectual experience spanning literature, philosophy, science, music and art, with discussion and critical inquiry central to its purpose. This institutional description explains why an applicant might connect a specialized interest with broader questions. It provides context for the essays, rather than evidence that any particular interpretation was rewarded. Source: Columbia College Core Curriculum.
The relevant detail is what the student expects to do with that encounter. Would a historical text complicate a technical assumption? Would a philosophical argument change how a student evaluates an economic decision? Would close reading improve the way a scientist handles ambiguous evidence? These are analytical possibilities, not invented case findings. They help distinguish a connection that has been thought through from an assertion that a famous curriculum is attractive simply because it is famous.
College and Engineering also require different research. Columbia Engineering's current advising page specifies a 27-point nontechnical component, including University Writing, a humanities sequence, Art or Music Humanities, economics and electives. A statement about requirements should match the school to which the applicant is applying. Treating every Columbia undergraduate as following an identical course plan can undermine an otherwise specific essay. Source: Columbia Engineering undergraduate advising.
This is why the report codes an essay's mention separately from the present accuracy of a campus claim. A published package may name a course, but the course could have changed, carry prerequisites, be offered intermittently or belong to a different program. The thematic count remains a record of the text. An applicant using the report as research must take a second step and check the current institutional source. Frequency in a collection of essays cannot perform that verification.
The city needs a purpose in the story
Seven of the retained platform packages mention location, usually New York or its opportunities. That does not make a city reference mandatory. The main community example succeeds as a concrete campus connection without one, although the available material cannot explain why the student was admitted. The comparison is useful precisely because it resists turning a recurring feature into a rule.
A location reference becomes informative when it identifies an activity or question for which the location matters. In the platform collection, one package connects urban life with policy and hunger relief, while another frames the city through trade, infrastructure and ethical decision-making. These are plans described in public texts, not evidence that the writers completed the proposed work or that the university endorsed their descriptions of particular resources. Policy/civic package; infrastructure package.
A useful editorial test follows. Remove the city name and examine whether the paragraph still contains a meaningful reason. If the answer is only access, excitement or diversity, the relationship may need more explanation. If it describes a kind of work, a population to learn from or a question sharpened by the setting, the applicant has supplied information about their intentions. This is a writing assessment, not an empirically estimated admissions effect.
Research references require the same care. Columbia's current undergraduate research portal gathers opportunities across disciplines and allows students to filter by such factors as field, term and eligibility year. Its guidance makes the application timetable a matter for the posting laboratory or department. The institution offers routes into research; a list of laboratories in an essay is not a reservation in any of them. Source: Columbia Undergraduate Research Opportunities.
That distinction permits ambition without false certainty. A prospective student can identify a question that excites them, describe the preparation they hope to gain, and explain why a department's approach is relevant. They can leave room for a different mentor or project. A plausible learning trajectory often communicates more than an unconditional promise to conduct advanced work immediately upon arrival. This report can assess the presence of that trajectory in a text; it cannot verify the future access it imagines.
The missing comparison
The largest unresolved question is what similar rejected applicants wrote. The platform and publisher collections were selected for success claims, and the main corpus contains only one Columbia case. Without comparable rejected applications, complete admissions files and a way to account for other selection factors, the study cannot say that Core references, research plans or community contributions improve admission chances. Nor can its uneven publication record establish a trend across three entering classes.
The practical conclusion is therefore narrower and more defensible. In these texts, students use institutional features to explain proposed relationships between their existing interests and future participation. Columbia's shared curriculum, research environment, organizations and city can each supply a setting for that explanation. The main example also shows the value of a modest, specific connection: a publication and a form of dialogue can be enough to make a community response concrete. Applicants should use the current official questions to determine what belongs in each response, then investigate the opportunities they actually mean to pursue. Current official questions URL; retrieval was blocked during this audit.
Cornell: The college within the university
A Cornell engineering example imagines joining ChemE Car, where different technical groups work toward a functioning vehicle. The writer extends that idea to the university: learning alongside people whose interests lie outside engineering could broaden the judgment brought to engineering itself. In another example, family cherry farming and research on access to economics education become reasons to pursue entrepreneurship, applied learning, and mentoring. Both texts make a school-specific case, but they offer quite different pictures of what an education is for. Engineering example; entrepreneurship example
Both also illustrate the central qualification of this chapter. They come from publicly accessible platform packages labeled accepted in recent cycles. Those outcomes and dates have not been independently authenticated. The strict search located no Cornell application that simultaneously supplied a complete relevant essay, an adequately explicit recent cohort, and a qualifying publisher or first-person admission account. Cornell’s primary denominator is therefore zero. The correct primary result is unavailable, not a row of zero-percent findings.
The separate platform analysis contains seven application packages and sixteen relevant responses. These survived a screen of all sixteen accepted-tagged recent-cycle packages on the public listing page. Eight required premium access and were excluded. One additional free response contained 734 words under a community prompt with a 350-word limit, creating a direct inconsistency with the claim that the displayed text represents the submitted response. It was excluded rather than silently shortened.
The pattern in the seven platform packages
| Coded reason or opportunity | Platform applications mentioning it, n = 7 |
|---|---|
| Continuity with an existing interest or experience | 7 |
| Contribution or service | 7 |
| Academic field or major | 6 |
| Research opportunities | 6 |
| Community, belonging, collaboration, or campus culture | 6 |
| Learning through projects, practice, or experience | 5 |
| Connections across disciplines | 5 |
| Named courses | 4 |
| Student organizations | 4 |
| Curriculum structure or flexibility | 2 |
| Named faculty or laboratories | 2 |
| Place or surrounding location as a reason | 2 |
Primary sample: n = 0; no primary prevalence estimate. Platform counts are descriptive, overlap, and use the application package as their unit.
These counts require particular care because Cornell exposes applicants to different writing tasks. The engineering packages may include a reason for studying engineering, a reason for choosing Cornell Engineering, and a separate contribution response. A student applying elsewhere within Cornell may develop an academic argument in one longer essay. We included college-assigned academic-interest responses even when they did not repeat the university’s name. We also included prospective campus-contribution answers. A retrospective story about a previous community, with no future campus connection, did not independently qualify.
Consequently, sixteen responses are not sixteen applications. Nor do seven packages provide seven equally long opportunities to mention a course. The application-level denominator prevents the most prolific package from counting as several students, but it cannot remove differences in available space, prompt design, or the portions applicants chose to make public.
Many routes, few repeated proper nouns
At the level of exact named programs, this Cornell collection is dispersed. ChemE Car, the Food Recovery Network, the Latino Living Center, the named entrepreneurship courses, and the two engineering project teams occupy different applications. None is a repeatedly dominant campus opportunity across the seven packages. The stronger repetition lies in the kind of relationship writers construct: an earlier experience supplies a question, and Cornell supplies an imagined way to keep investigating it.
The food-recovery example connects a family lesson about purposeful effort with a prospective service community. The biomaterials example links prior scientific curiosity to a course, faculty research, and a sustainability project. The language-and-cancer-research example places scientific ambitions alongside cultural participation and communication. These are substantially different versions of fit, despite sharing several coding categories. Food-recovery example; biomaterials example; science-and-languages example
The repeated continuity code therefore should not be read as a requirement to have an established career plan. Continuity can involve a developing question, a way of working, a community relationship, or an intellectual habit. The coding records an explicit connection to prior experience. It does not measure whether the experience was prestigious, expensive, lengthy, or professionally sophisticated.
The exact-name counts also impose a practical limit on interpretation. A resource mentioned once may be central to that writer’s argument. A broad category mentioned six times may encompass six unlike activities. Frequency measures recurrence, not explanatory importance. Readers should inspect the relationship between the interest and the opportunity before deciding whether the example has anything useful to teach them.
Cornell’s institutional structure is part of the question
Cornell’s current admissions instructions make the chosen college or school central to the supplement. For fall 2027, applicants complete the writing assigned by that unit; the university-wide community question is absent. The official list includes distinct approaches for Arts and Sciences, CALS, business, engineering, Human Ecology, public policy, and other programs. This post-study-period change matters to readers preparing a new application: an older successful example may answer a question they are no longer being asked. Source: Cornell’s fall 2027 writing requirements
CALS provides a particularly clear example of institutional fit. Its first-year guidance explains that applicants apply to a specific major and are considered in relation to its preparation and approach. The current writing separates reasons for the major from reasons for CALS. The research task is therefore more precise than finding attractive university-wide facilities. A student needs to understand the educational home in which the proposed work would happen. Source: Cornell CALS admissions
Engineering organizes the question differently. Its current admissions page describes a common first-year foundation followed by affiliation with a major. It also separates motivation for engineering from motivation for the college and asks about contribution to its community. Those distinctions explain why a sentence about loving technical problem-solving and a sentence about a Cornell project team do different work. The first identifies an intellectual direction; the second specifies a setting in which to pursue it. Source: Cornell Duffield Engineering admissions
Arts and Sciences offers another structure. Its official curriculum describes broad exploration across fields and distribution requirements. A prospective student can reasonably explain connections among sciences, humanities, and social inquiry, but that flexibility still operates within a degree framework. “Any study” should prompt research into how the proposed combination actually works. It is not evidence that every class, laboratory, or program is equally accessible to every undergraduate. Source: Cornell Arts and Sciences curriculum
Names need verification after they are counted
One platform writer names a “Smart Markets & Sustainable Business Initiative.” Our bounded verification did not establish an official Cornell program with that exact name. We retained the phrase as evidence of what the essay claimed, with an explicit qualification. Cornell does operate a differently named SMART program, which joins students and faculty in applied research with external partners. The similarity does not authorize us to silently replace one with the other. Essay source; official SMART program
This distinction is essential to an honest opportunity map. A mention count answers, “Did this text invoke this idea?” It does not answer, “Was the applicant’s description accurate?” Those questions require different evidence. A future applicant using an essay archive as a starting point should return to the current institutional source, check eligibility, and confirm the activity’s actual purpose before relying on it.
Another engineering example makes a more operational connection: coding experience leads to DEBUT, AguaClara, workplace learning, and coursework linking computing with other interests. It shows how several named opportunities can describe different kinds of participation. It also shows why an analyst must avoid counting every sentence as another independent finding. The entire plan belongs to one application package. Source: computing and collaboration example
What the missing primary sample means
The archive contains older or undated Cornell examples that are useful for understanding writing. PrepMaven, for instance, presents three essays attributed to tutors admitted to Cornell, connecting politics, medicine, and public health with institutional resources. The page’s recent update does not establish the application years. We preserved these as contextual material and excluded them from recent-cohort counts. Source: PrepMaven
The gap is a result of the available evidence, not a judgment about Cornell applicants or the importance of their essays. A public investigation can map what it can inspect while being explicit about what it cannot establish. Here, the platform collection suggests several ways writers explain academic and community fit. It cannot supply a verified prevalence estimate for recent successful Cornell applications, and it cannot demonstrate that the named opportunities helped cause admission. The most useful question it leaves a prospective applicant is specific: why does this particular college’s approach make sense for the work you hope to learn to do?
Dartmouth: A Hundred Words for a Whole Place
Dartmouth's main corpus is the strongest of these three schools because the college's own student blog supplies three dated, attributable accounts of application writing. A fourth eligible case comes from Crimson Education. The result is still a small sample: four applicant-school applications across the study window, with one presented as a bullet-list reconstruction. Yet it allows a more concrete comparison than a collection whose writers and application years remain entirely anonymous.
All four main cases mention an academic field, student organizations and community culture. Three mention the D-Plan, three refer to the surrounding location, and three connect an existing interest or experience with future participation. Two name courses, three describe contribution or service, and two connect disciplines. One names a faculty member, and one explicitly proposes research. The Dartmouth Outing Club appears in all four. These are counts within four published cases, not estimates of the incoming classes. Mario Lopez; Tess Hunter; Sarah Hedgecock; Crimson example.
The current prompt helps explain the breadth. Dartmouth's Class of 2031 supplement asks for a response of 100 words addressing interest in its academic program, community or campus environment and the applicant's fit. The official page, updated inJuly 2026, also requires two longer responses. The 100-word limit makes selection unusually visible: space spent naming one opportunity cannot be spent developing another. Source: Dartmouth writing supplement.
Four proposed Dartmouth lives
Mario Lopez, identified by Dartmouth as a member of the Class of 2028, connected Classics with study in Rome and the flexibility of the D-Plan. The same short response placed outdoor activity and belonging in the Upper Valley alongside those academic plans. His original quoted text supplies the coding evidence; later reflections about college life do not add extra themes to the application. Source: Lopez's original-response reflection.
Tess Hunter, also Class of 2028, presents her original approach as a list of opportunities. It includes the D-Plan, a modified major, Asian studies, Miya Qiong Xie, language programs, student publications, music and the Outing Club. Because readers see the author's reconstruction rather than a submitted-document image, the study retains a sensitivity result that removes this case. That leaves three main applications; the Outing Club still appears in all three and the D-Plan in two. Source: Hunter's response account.
Sarah Hedgecock, Class of 2029, displays her original response in successive quotations. It connects a government course, the D-Plan, research and internships, public-policy opportunities, community groups and the Upper Valley. Her later commentary is especially instructive: some plans changed after enrollment. The essay is evidence of an informed intention at application time, not a binding itinerary or a record of activities already completed. Source: Hedgecock's response account.
The Crimson Class of 2029 example links a philosophy course and neural questions with peer learning, then names music teaching through Music Empowerment of the Upper Valley and outdoor activity with the Outing Club. This joins an intellectual interest, a possible contribution and a social setting in a very short space. The publisher claims admission; no underlying admissions file was available. Source: Crimson Dartmouth example.
| Observed Dartmouth theme | Main corpus | Separate platform corpus |
|---|---|---|
| Academic field | 4 of 4 | 4 of 4 |
| Community/culture | 4 of 4 | 4 of 4 |
| Student organization | 4 of 4 | 1 of 4 |
| Curricular structure | 3 of 4 | 1 of 4 |
| Location | 3 of 4 | 0 of 4 |
| Research opportunity | 1 of 4 | 3 of 4 |
| Named faculty or lab | 1 of 4 | 3 of 4 |
A second collection changes the picture
The four separate platform packages emphasize research more heavily: three of four mention it, and three name faculty. Only one mentions a student organization and none receives a location code. The D-Plan appears in one, while the Outing Club appears in none. That reversal is a warning against presenting a small collection's most frequent noun as the definitive Dartmouth formula. What looks dominant changes with the source through which essays become public. Source register: Dartmouth public packages.
The platform collection includes a biomedical research connection, a quantitative conservation plan, an ethical-computing interest and a mathematics/mentoring proposal. Each is a different way of imagining Dartmouth. The platform's accepted labels and years remain unverified, so these cases supply a sensitivity description rather than enlarge the stronger denominator. Their main analytical value is to show how unstable rankings can become when the public source changes. Biomedical package; quantitative package; computing package; mathematics package.
This difference also illustrates publication bias in an ordinary, understandable form. A student blogger may choose to revisit an essay because it connects neatly with lived campus experiences. A commercial collection may select writing that illustrates a recognizable academic strategy. The available data do not let this report determine either publisher's selection process. Those are plausible mechanisms, explicitly offered as interpretation, for why the published record could differ from the pool admissions officers actually read.
The D-Plan is a schedule with conditions
Dartmouth's official planning guide distinguishes residence, off-campus programs and leave terms. It describes academic and enrollment requirements alongside possibilities for internships and research. Flexibility therefore involves coordination: a student must align courses, required terms, program calendars and personal circumstances. The existence of leave terms does not make every proposed experience feasible on any preferred date. Source: Dartmouth D-Plan term guide.
For an essay, the meaningful connection is between that structure and an educational purpose. A student may want language immersion, an extended project, employment or an internship. The writer should understand what the schedule permits before using it to support a plan. Merely naming the D-Plan tells the reader that the applicant encountered an important feature; explaining why its timing matters reveals something about the applicant's intentions. The observed count of three in four says nothing about which version admissions officers preferred.
The Outing Club likewise becomes more useful when investigated as a system of participation. Dartmouth's current trip page describes sign-ups, approval, gear requests and outings at different experience levels, with free gear rental and subsidized break trips. These are concrete details about how students can enter outdoor life. They also show why a vague mountain image can miss what might matter most to a prospective student: access, company, preparation and the kind of activity they would actually enjoy. Source: Dartmouth Outing Club trips.
Researching access can also temper assumptions about selective programs. The current First-Year Fellows page describes 20–25 students selected annually for policy internships and lists coursework and D-LAB prerequisites. A high-school applicant can reasonably identify the program as a goal, while recognizing that reaching it requires choices and another selection process. That is a more accurate plan than implying that college admission automatically produces a fellowship. Source: Dartmouth First-Year Fellows.
A rare university-wide clue
Dartmouth offers one unusually valuable piece of broader evidence. Its March 2026 admissions announcement reports that one in three students admitted to the Class of 2030 mentioned dialogue and freedom of expression in their Why Dartmouth response. The announcement also describes strong community and rural setting as recurring attractions. This is an official aggregate claim covering a much broader group than the four cases in this report. Source: Dartmouth's 2026 admissions announcement.
It is not a result of this study's coding. Dartmouth does not publish the underlying essay corpus, an exact topic numerator or a coding protocol alongside that statistic. The report therefore preserves the phrase one in three instead of manufacturing an integer from the announced admissions total. It also avoids translating a recurring but unquantified reference to community or rural setting into a percentage. The distinction keeps a useful institutional disclosure from acquiring precision the university did not provide.
The date checks are consequential here. One Dartmouth blog post published in 2025 revisits an essay by a Class of 2025 student. Counting it as a 2025 application would move an older submission into the current period simply because it was republished recently. Other current students discuss why they chose Dartmouth without displaying the complete original essay. Those posts can illuminate campus life, but they cannot supply the missing text for a count of submitted-response themes. The study keeps those uses distinct instead of assigning an unobserved essay the interests a student later describes. Example of an older-cohort retrospective.
Dartmouth's evidence suggests a practical way to read a 100-word response: identify the relationship among the selected details. Does the setting support the activity? Does the activity connect with an actual interest? Is contribution expressed through something the student can plausibly do? Those questions allow a concise essay to carry several dimensions without becoming a directory. They are also compatible with later change. A student can enter with a thoughtful proposal and discover different courses, communities or ambitions once enrolled. The public record shows proposed lives at Dartmouth; it cannot establish a universal set of words that opens the admissions gate.
Harvard: What an education would let a student do
Rachel Zhang’s future-plans answer begins at home, with parents coping with joint pain and a teenager who can offer little beyond a glass of water. Robotics supplies a possible next step. In the essay she reads for her high-school newspaper, she connects that concern to Patrick Slade’s work, an assistive-robotics course and the possibility of building a device herself. A separate contribution answer turns toward art: she imagines helping classmates find the kind of creative respite she had experienced in a school musical. These are two responses from one successful, publicly reported Harvard application, for fall 2025. They were counted once at the application level. H01: submitted-answer reading
The interesting movement is from a problem the writer already understands toward a capability she does not yet possess. A university becomes relevant because it could help close that distance. This is an interpretation of the writing, not evidence that an admissions reader rewarded this feature. The research cannot isolate the effect of an essay from the rest of an application. It can show the connections the text makes and distinguish them from the connections a later adviser might wish it had made.
Harvard’s second named case in this subset follows a different route. Iyanu Shonukan recounts learning Spanish after an uncomfortable interaction at a fast-food job. He connects further language study and immersion to a future in patient care. His community answer describes learning to connect across places and cultures. The public video presents the answers as successful Harvard supplements; a student-organization biography identifies him with the class of 2028, while a university laboratory page corroborates his Harvard affiliation. H02: submitted-answer reading Cohort corroboration University affiliation
What the counts show
The named first-person subset contains two Harvard applications and four relevant answers. Both applications connect an earlier experience to future interests, discuss an academic field, and describe participation in a campus community. Both include an experiential component, although the forms differ. One names a particular course, faculty member or lab, and student organization. The other refers to language coursework and immersion without naming a course title. These are application counts: two answers by one writer do not create two independent applicants.
| Mention in the named Harvard subset | Applications mentioning it | Denominator |
|---|---|---|
| Academic field or subject interest | 2 | 2 |
| Continuity with an earlier experience | 2 | 2 |
| Campus culture or community participation | 2 | 2 |
| Concrete campus contribution or service | 2 | 2 |
| Experiential learning or practice | 2 | 2 |
| Named course | 1 | 2 |
| Faculty member or laboratory | 1 | 2 |
| Research opportunity | 1 | 2 |
| Student organization | 1 | 2 |
| Explicit connection across academic fields | 1 | 2 |
| Curricular structure | 0 | 2 |
| University location as a reason to attend | 0 | 2 |
The denominator is too small to rank what successful Harvard applicants generally value. A result of two out of two is an observation about these two texts. It is not an estimate that every admitted student writes this way. The table is useful because it makes a narrower claim inspectable: a reader can return to each shared answer and check whether the coding is justified.
Zeroes also need care. They indicate that a theme was not found in the relevant answers available for these applicants. They do not establish that the writer disliked that feature, omitted it from every other part of the application, or failed to consider it when choosing a college. A short public extract of an application cannot answer every question about the applicant’s priorities.
Harvard’s question is about use
The university’s current supplement asks five short questions, each with a 150-word limit. Two are particularly relevant here: one concerns the contribution a student’s experiences would enable; another concerns the future use of a Harvard education. The wording places the applicant’s actions and direction at the center. It is possible to answer those questions with institutional detail, but a catalog of attractions does not by itself answer either one. Harvard application requirements
That distinction helps explain what readers should look for when studying an example. The presence of a professor’s name is an easily counted surface feature. Its function is harder to count. Does the writer explain what the professor’s work would help them investigate? Is there a connection to something they have already tried? Does the proposed next step make sense for an undergraduate? A name can be accurately spelled and still carry little explanatory weight.
This study counts names where they appear; it does not treat them as a scoring system. A highly specific passage can depend on an unnamed but concrete activity. Conversely, a passage containing several proper nouns can leave the student’s purpose obscure. Counting and interpreting therefore have different jobs. The count establishes recurrence. Close reading asks what the recurrence is doing.
A useful planning sequence is to write down a question, identify a resource that could help address it, and describe the action that would connect the two. The sequence can begin with a job, a family responsibility, an academic puzzle or a sustained hobby. It need not begin with a famous institutional feature. The crucial reasoning is whether the proposed resource changes what the student could understand or accomplish.
Checking the opportunity behind the name
Harvard’s public bioengineering catalog corroborates the course title Biomechanics of Movement and Assistive Robotics and associates it with Patrick Slade. A current course listing is evidence that the referenced opportunity is real. It is not a promise that every applicant can take it immediately, nor does a current listing by itself establish every detail of a past catalog. The institution’s faculty biography describes Slade’s work on movement and assistive devices. These checks support the interpretation of the reference without turning a proposed learning plan into an assured placement. Bioengineering courses Patrick Slade
The same principle applies to a club. Harvard’s Office for the Arts lists the Harvard Undergraduate Art Club among studio-arts opportunities. Its existence can be checked. A prospective student’s desire to contribute is a different fact, and the essay is the source for that desire. Keeping those facts separate prevents a common research error: treating an applicant’s plan as proof of a program’s admission rules, availability or likely outcome. Harvard arts opportunities
Students can use this distinction in their own research notes. One column can record what an official source says. Another can record why the opportunity matters personally. A third can hold unanswered questions about prerequisites, membership, timing or access. This makes uncertainty useful. It identifies the remaining research instead of encouraging confident language about an opportunity the student has barely investigated.
The attraction of an interdisciplinary story
An additional publisher-anonymous Harvard example, kept in a separate evidence tier, connects South Asian Studies, language learning, government, sociology and research at the Mittal Institute to development-policy ambitions. Crimson Education labels the response as belonging to an admitted class-of-2030 student. The full text is publicly expandable, but the applicant’s identity and submitted file were not independently verified. This record therefore should not be silently combined with named first-person accounts. H03: publisher-reported example
Its broader analytical value is the difference between accumulating fields and linking them. An essay can list several subjects without explaining why they belong together. A stronger intellectual connection, in the ordinary sense of clearer reasoning, explains what one field supplies that another does not. A language might enable access to people or texts; a social-science method might make a policy claim testable; technical knowledge might make a proposed intervention possible. These are relationships a reader can follow without needing to know an admissions rubric.
There is also room for uncertainty. A high-school student need not announce an entire professional life with implausible certainty. A defensible next question can be more credible than a grand forecast. The writing can show direction while leaving room for discovery: what the student wants to investigate, why that question matters now, and what kind of work could change their understanding.
Read the historical prompt before borrowing the strategy
The two named applications straddle a format change. Contemporary reporting on Harvard’s class-of-2028 supplement described five required 200-word questions. The current format uses 150-word responses, and the intellectual-experience question has changed. A successful answer from an earlier year cannot be assumed to fit today’s box or today’s question. Contemporary Harvard admissions-dean interview Current application guidance
For a reader, the most portable feature is the reasoning, not the wording or the inventory of names. Ask what the writer noticed, why the observation mattered, and how the proposed education follows from it. Then set the example aside. The next essay needs evidence from the next student’s life. Copying an opportunity list without that evidence would preserve the visible nouns while removing the connection that made the passage intelligible.
Penn: A future member, with work to do
One recent Penn community essay begins with work already underway: a student’s involvement with a farming nonprofit in Brazil. The imagined next chapter includes consulting with Penn Social Entrepreneurship Movement, learning through a case workshop, and supporting fundraising and educational events. The student presents Penn as a place to keep practicing an existing commitment. The named opportunities give that continuation a setting. Crimson Education identifies this writer as a student admitted to Penn’s Class of 2030. That explicit cohort statement qualified the application for the primary sample. Its companion thank-you note did not enter the thematic analysis because it answered a different question. Source: Crimson Education
The resulting primary denominator is one application and one relevant essay. That is enough to inspect a particular argument closely. It is insufficient to establish what Penn admits generally write. The distinction is especially important here: a community response has no obligation to contain a faculty name, academic course, or major. Their absence from this one text says little about the applicant’s complete submission and nothing reliable about their prevalence among Penn’s entering students.
The wider, separately labeled platform sample contains eleven free application packages carrying accepted labels for the reported 2023/24, 2024/25, and 2025/26 cycles. These contribute twenty-one relevant essays. Ten packages include both community and academic responses; one supplies only the relevant community response. We counted each theme once per package, regardless of how many essays or named activities supported it. These are platform claims, not independently authenticated admissions files.
What the available texts contain
| Coded reason or opportunity | Primary sample, n = 1 | Platform sample, n = 11 |
|---|---|---|
| Continuity with an existing interest or experience | 1 | 11 |
| Community, belonging, collaboration, or campus culture | 1 | 11 |
| Contribution or service | 1 | 11 |
| Student organizations | 1 | 10 |
| Academic field or major | 0 | 10 |
| Learning through projects, practice, or experience | 1 | 8 |
| Connections across disciplines | 0 | 8 |
| Curriculum structure or flexibility | 0 | 6 |
| Research opportunities | 0 | 6 |
| Named faculty or laboratories | 0 | 5 |
| Named courses | 0 | 3 |
| Place or surrounding location as a reason | 1 | 1 |
Counts describe the coded texts, not the entering class. Categories overlap. The two columns remain separate because their evidence of timing and admission differs.
The platform pattern is conspicuous: community and contribution appear in every included package. So does continuity with prior experience. But these are not three independent discoveries about an admissions formula. Penn asked applicants about community; the available packages disproportionately expose that response; and a broad contribution category includes several kinds of proposed participation. The table is most useful as a description of how these particular writers organize their explanations.
In one package, neighborhood support becomes a reason to tutor through the West Philadelphia Tutoring Project and study political economy. In another, work around arts access leads toward media and entertainment activities and social enterprise. Each makes a connection between something the applicant understands firsthand and something they hope to do on campus. The proposed activity carries an explanation for why this person wants it. Tutoring and political-economy example; arts-access example
That relationship matters more analytically than the number of proper nouns. An organization name can perform several jobs: establishing a shared interest, identifying collaborators, locating an audience, or showing where a practiced skill might be useful. A name without one of those relationships contributes much less information about the applicant. The present study counts mentions; it does not assign an admissions value to their quality.
Which names actually recur?
The exact names fragment much more quickly than the broad themes. In the eleven platform packages, Civic House appears in two; West Philadelphia Tutoring Project in two; the undergraduate media-and-entertainment organization in two; Venture Lab in two; Spring Fling in two; and the Center for Undergraduate Research and Fellowships in two. We normalized abbreviations and clear variants, but did not combine distinct programs merely because they served similar purposes. The named opportunities in the primary PennSEM example each belong to that single application.
These are small repetitions. A two-application lead cannot support a claim that applicants ought to mention a particular organization. It can suggest where to look more closely at the writing. Civic House, for example, can function as an organizational home, while a tutoring project identifies a concrete activity within a broader civic interest. Counting both is legitimate when both appear, provided the reader understands that the counts overlap.
The official description adds something the essay count cannot: participation has a practical structure. Civic House says its student programs involve applications and preparation for responsible engagement. The West Philadelphia Tutoring Project combines one-to-one work with orientations and educational workshops. That detail turns “I want to help” into a more informed prospect: a student would enter relationships with preparation, obligations, and partners. Source: Penn Civic House
This is a useful test for applicants researching their own interests. After finding a name, ask what participating actually requires. Is the work weekly? Is the program selective? What preparation comes first? Who identifies the problem being addressed? Those questions make a proposed contribution more concrete, even when the essay has room for only a fraction of the answers.
The academic story changes with the school
Penn’s current instructions distinguish the shared community question from the academic response assigned by undergraduate school. For 2026–27, the College of Arts and Sciences asks about curiosity and its pursuit; Wharton asks about an important issue and the role of business education; Engineering asks about intended engineering interests; Nursing connects professional direction with healthcare equity. These current prompts are context for readers applying now, not evidence that every historical response answered identical wording. Source: Penn Admissions
The platform texts show why this distinction matters. A writer combining environmental studies with classical studies invokes both an academic pathway and specific classes. A different writer draws on organizing music and public events to explain interests in business, consulting, and research. Grouping both under “academic fit” is useful for comparison, but it conceals different intellectual propositions. One asks how fields can illuminate each other; the other asks how analytical and organizational tools can extend a familiar kind of work. Environmental and classical studies example; music and public-events example
Research appears in six of the eleven platform packages; named courses appear in three. That ordering describes this collection. It does not show that research references outperform course references. The categories also differ in breadth. “Research” can encompass a funding mechanism, a mentoring program, a laboratory question, or a publication opportunity. A named-course code requires an identifiable course, so the two measures are not interchangeable indicators of detail.
Consider PURM, mentioned in one package alongside the broader research center. Penn’s official program description makes clear that it serves students finishing their first or second undergraduate year and involves a summer relationship with a faculty mentor. The program is an application and matching process. Mentioning it does not establish that the applicant will secure a placement. An informed essay can describe the question a student hopes to pursue while leaving room for the actual selection process. Source: Penn Undergraduate Research Mentoring Program
The archive itself requires scrutiny
One free package initially looked eligible because its platform tag placed it in a recent cycle. Its community text, however, reproduced the distinctive multipotentialite example appearing in an earlier CollegeAdvisor collection. We excluded it from the recent platform cohort. A recent label cannot turn a recycled text into evidence about a recent application. The evidence supports a provenance conflict; it does not establish who uploaded the material or why. Recent platform listing; earlier CollegeAdvisor collection
That exclusion changes the denominator before any thematic result is calculated. It also changes the confidence a reader should place in the remaining platform material. A bounded search that finds no older match is not authentication. Acceptance labels and application-year fields remain unverified even when the prose looks plausible. The stronger primary example still rests on a consultancy’s report rather than inspection of an admission letter and the submitted application.
What can a reader reasonably take away? In this limited collection, writers repeatedly describe a relationship among past experience, a Penn setting, and a future action. Exact opportunities vary; the explanatory relationship travels across topics. A student researching Penn can use that observation to ask better questions about personal fit. The data cannot tell the student which club to choose, which phrase to copy, or how much an essay contributed to admission. Its most defensible use is to sharpen the connection between a real interest and a credible next step.
Princeton: Following a question into the field
Carina Fucich’s academic supplement traces a path from environmental volunteering and water-quality research to questions she wanted to pursue at Princeton. In the answer she reads publicly, she names environmental internship research, a field semester, ecology and evolutionary biology, a senior thesis, and Anu Ramaswami’s interdisciplinary teaching. The source identifies her as a member of Princeton’s class of 2028. It is one application and one shared relevant essay, not a representative sample of admitted students. P01: submitted-answer reading
The passage is useful for examining how a list can become a sequence. Its opportunities are presented as different kinds of next step: investigating further, observing in another setting, organizing research into a sustained project, and bringing additional perspectives to a problem. That reading does not establish why admission occurred. It describes the intellectual route visible in the answer.
The result should also be distinguished from a generic recommendation to write about research. A reader cannot conclude from one applicant that environmental science, a field semester, or a particular professor is an especially effective admissions topic. The more defensible question is what the named opportunities enable the writer to explain. If a similar sequence were built around literature, mathematics or engineering, it would need its own evidence and its own current institutional resources.
One named case cannot establish a “most common” opportunity
For Princeton, the named first-person subset is especially small: one application with one eligible academic answer. Its counts belong in the report because the denominator is visible, not because they permit a ranking. Eight broad categories appear. Community culture, student organizations, campus-service contribution and location do not appear in that shared answer.
| Mention in the named Princeton subset | Applications mentioning it | Denominator |
|---|---|---|
| Academic field or subject interest | 1 | 1 |
| Continuity with an earlier experience | 1 | 1 |
| Curricular structure | 1 | 1 |
| Named course | 1 | 1 |
| Named faculty member or laboratory | 1 | 1 |
| Research opportunity | 1 | 1 |
| Experiential learning or fieldwork | 1 | 1 |
| Explicit connection across academic fields | 1 | 1 |
| Student organization | 0 | 1 |
| Campus culture or community | 0 | 1 |
| Concrete campus contribution or service | 0 | 1 |
| University location as a reason to attend | 0 | 1 |
A separate publisher-reported case expands the range without erasing the evidence distinction. Crimson Education identifies two public responses as the work of one student admitted to the class of 2030. One connects earlier arts education to studio participation and a proposed dance club; the other connects mentoring to future inquiry workshops. The publisher explicitly links the two essays to one applicant, so they contribute one application-level record. The student’s identity and submitted admissions file are not independently available. P02: publisher-reported case
The two tiers illustrate different kinds of fit, but they should remain labeled. A named first-person reading can be linked to a publicly identified student. An anonymized publisher example depends more heavily on the publisher’s provenance statement. Neither is an admissions-office release of an authenticated full file. A report becomes more informative when those distinctions remain visible rather than disappearing into a larger headline number.
Princeton asks different applicants different academic questions
The official Princeton supplement separates applicants pursuing an A.B. degree, or undecided, from those interested in the B.S.E. Both academic routes ask students to explain their interests and the fit with Princeton’s programs. The current supplement also asks about community and lived experience, service and civic engagement, and several brief personal questions. An essay’s content therefore has to be understood in relation to the prompt that elicited it. Princeton-specific questions
That design has a measurement consequence. A service theme is more likely to appear when a service question is asked and publicly shared. A faculty name may be more likely in an academic-fit answer than in a lived-experience answer. If one source reveals only the academic supplement and another reveals the whole set, raw application-level counts will reflect those differences in observation. The sample register records which relevant answers were available so that absence is not mistaken for a complete picture.
A family reading the findings can use the same distinction. Before looking for the most frequent topic, ask which kind of answer produced the frequency. An impressive community response may offer little direct guidance about explaining engineering interests. Its value may instead lie in how the writer chooses an experience, shows a change in thinking, or describes a contribution. The method can travel even when the subject matter cannot.
How much work should a course title do?
The named Princeton answer refers to a course taught by Anu Ramaswami. The professor’s public university pages corroborate Sustainable Cities in the US and India: Technology & Policy Pathways and its interdisciplinary content. Some official pages describe earlier offerings. They establish that the course reference has a real institutional basis; they do not guarantee a future offering in the exact term a new applicant might want. Ramaswami’s teaching University faculty page
This is why course research should involve more than copying a title. A student should understand what the course studies and why that approach matters to their question. They should also distinguish a catalog entry from an annual timetable. The essay does not need to carry every administrative detail, but the research behind it should be accurate enough that a reader can see a plausible plan.
Faculty references need similar care. Wanting to learn from someone’s work is different from claiming a future research appointment. A prospective undergraduate can explain an intellectual interest without promising access they do not control. The most defensible language describes an opportunity the student hopes to explore, the question motivating that hope, and the preparation that makes the interest credible.
An institutional fit argument becomes fragile when it rests entirely on one person, one course or one competitive placement. Even if the reference is accurate now, programs and people can change. A more durable explanation identifies the larger educational relationship: a method, a curriculum, a community of inquiry or a kind of practice. Specific examples can then demonstrate that relationship without carrying the entire case on their own.
The proposed contribution is a claim about the future
The publisher-anonymous arts example also raises a useful distinction between joining and creating. A writer who proposes starting a club is making a different claim from a writer who names an existing club. The study preserves that difference. It does not list the proposed organization as a verified Princeton offering. Likewise, an intended mentoring project is evidence of the applicant’s plan, not proof that a campus center has approved the plan.
For students, proposed contribution works best as a credible extension of demonstrated behavior. The analytical question is what makes the proposal believable. Has the writer done something related? Do they understand the people they hope to work with? Does the plan leave room to listen and learn? These questions can expose the difference between a genuine next step and an ambitious sentence added to satisfy a prompt.
Contribution also need not mean founding an organization. A student can bring reliability, a technical skill, a way of asking questions or a commitment to maintaining an existing activity. The public examples cannot establish which forms are favored by admissions officers. They can help readers examine whether the proposed role follows naturally from the evidence presented.
Keep the applicant’s voice separate from the institution’s judgment
Princeton says its review is holistic and assigns no fixed weight to a particular factor. Its applicant guidance asks students to show achievements in context and write in their own voice. Those official statements are incompatible with treating the frequency table as a mechanical formula. Counting a research reference does not supply the missing weight of that reference in an admissions decision. Princeton application checklist Princeton helpful tips
A research report should therefore resist the attractive but unsupported sentence that a certain combination “worked.” Admission followed a whole application. The public evidence usually reveals only part of it. The strongest conclusion is smaller and more useful: the examples show different ways students connected earlier experience to a proposed educational life, and the source register makes those connections available for examination.
The practical exercise is to follow one question through several settings. What has the student already learned? What remains unresolved? What kind of classroom, fieldwork, studio, archive or conversation could move the inquiry forward? What contribution might emerge from the work? Each answer should be supported by the student’s actual experience and an accurate description of the institution. When those links hold, the essay has an intelligible purpose even before anyone asks how it might be evaluated.
Yale: A place for interests to meet—and a question that has changed
Sally Zheng’s shared Why Yale answer puts cognitive science beside theater. She describes a curriculum and research opportunities that could connect the study of the mind with performance and economics, then names the Yale Dramatic Association and Redhot & Blue as artistic outlets. The answer was part of her publicly reported application to the class of 2028. It is compact, but its organizing idea is expansive: the writer wants room for interests to interact. Y02: submitted-answer reading
Filippo Fonseca, another class-of-2028 applicant, makes that connection differently. His academic response moves from mathematical modeling to engineering; his Why Yale poem emphasizes interdisciplinary research and close academic contact; his community response connects a multilingual upbringing with a human-centered view of engineering. Davenport appears as a place to imagine future conversation. The study counts those three eligible answers as one application, keeping the writer’s later commentary outside the coded text. Y01: submitted-answer readings
The third named Yale example has fewer institutional nouns. Jenney Huang’s academic-interest response begins with a medical procedure and develops into a fascination with biomedical engineering. She explains subsequent inquiry into treatment technologies and the connection between physiology and machines. The shared answer names no Yale professor, laboratory or course. The school-newspaper interview identifies her as a 2025 graduate headed to Yale. Her earlier research is evidence of personal continuity; it is not a Yale opportunity. Y03: submitted-answer reading
Three applications, several kinds of specificity
The named Yale subset contains three applications and five eligible answers. Academic interest, continuity with earlier experience, and explicit connections across fields appear in all three. Research opportunities and campus culture appear in two. One mentions curricular structure, one names student organizations, and one describes a concrete prospective contribution to the campus’s intellectual community. None names an individual course or professor in the eligible text.
| Mention in the named Yale subset | Applications mentioning it | Denominator |
|---|---|---|
| Academic field or subject interest | 3 | 3 |
| Continuity with an earlier experience | 3 | 3 |
| Explicit connection across academic fields | 3 | 3 |
| Research opportunity | 2 | 3 |
| Campus culture or community | 2 | 3 |
| Curricular structure | 1 | 3 |
| Student organization | 1 | 3 |
| Concrete campus contribution or service | 1 | 3 |
| Named course | 0 | 3 |
| Named faculty member or laboratory | 0 | 3 |
| Experiential program or practice at Yale | 0 | 3 |
| University location as a reason to attend | 0 | 3 |
The repeated themes in this subset should not become a prescription to write an interdisciplinary essay. The sample was found through public availability, not drawn randomly from an admitted class. Two of the three accounts came through the same high-school publication. That shared source can shape which students appear, which essays are read, and how the discussion is framed. The counts describe the recovered material; they cannot establish a university-wide preference.
The absence of named courses is nevertheless a useful check on a familiar assumption. These examples do not support a claim that a successful Yale answer must name a course or professor. They also do not prove such references are unnecessary for every student or prompt. What they show is that specificity can appear in a question, a method, a connection between fields, or a proposed form of participation. Proper nouns are one possible instrument, not a complete definition of specificity.
A historical study cannot become an outdated instruction sheet
Yale’s official 2026–27 update says the dedicated Why Yale question has been removed. Its current essay page retains a 200-word academic-interest response and offers longer options concerning discussion, community or personal experience. Readers applying now should follow those current prompts. The historical Why Yale answers remain useful research material, but they are no longer direct templates for an identical current question. Official application update Current Yale essay topics
This change exposes an important difference between studying successful applications and producing advice. A researcher can describe what earlier applicants were asked and how their answers worked. An adviser must also check whether the question still exists. When a university changes its prompt, the change belongs beside the findings, where readers will see it before they begin drafting. A small date in a footer is insufficient protection against an otherwise persuasive but obsolete model.
The practical consequence is straightforward: identify the task before deciding which school details to include. An academic-interest prompt may be best answered by showing the movement of thought. A community prompt may require an account of belonging, responsibility or change. A general institutional-fit prompt, when it exists, requires a different balance. Reusing a conclusion about a college can leave all the sentences grammatically sound while answering a question that was never asked.
A residential college is not an academic department
Yale’s residential colleges are living communities rather than divisions by major. The university describes each as combining student housing with shared facilities and activities. Davenport therefore belongs in the community part of this map, not in a tally of specialized academic programs. This seems a small coding choice, but it matters: counting every university name as an academic opportunity would exaggerate the evidence for intellectual fit. Yale residential colleges
A wider lesson follows. An opportunity’s role in an essay depends on what the writer says about it. A dining hall can be a location, a community space or merely a passing image. A performance group can be an artistic outlet, a hoped-for responsibility or a social home. The researcher should not supply the missing function. The coding should follow the claim made in the text, with enough explanation that another reader could disagree constructively.
For applicants, that same discipline encourages clearer writing. Naming a place leaves the reader to imagine the reason. Describing the activity the student hopes to undertake gives the place a purpose. The question is not how many campus details fit into a paragraph, but whether each detail helps explain the student’s intended life there. A sentence that does no explanatory work may be expendable even when it took considerable research to find its proper noun.
Connecting subjects without creating a résumé in prose
The three named examples offer a bounded observation about academic connection. Each relates ideas across fields. The interpretation is that their interests become easier to follow when the writer explains a relationship: what one discipline makes visible within another, what a technical tool could illuminate, or why a human problem needs more than one kind of knowledge. That is a claim about the clarity of these passages, not about an admissions advantage.
Students sometimes face a false choice between presenting a single narrow identity and listing everything they like. A coherent essay can allow breadth by supplying a question that the interests share. It can also remain focused on one subject and show depth through a precise unresolved problem. Neither structure requires an exaggerated claim that every hobby has always served one grand purpose.
An effective planning exercise is to draw two columns: what the student has actually done or noticed, and what they still want to understand. Between them, write a sentence explaining the connection. Only after that should the student consider which current institutional opportunity could help. If the middle sentence is weak, another club name is unlikely to repair it. If it is strong, the student has a basis for deciding which details genuinely belong.
The boundary between an application and an interview
Public admissions videos contain several kinds of material at once. A student reads an essay, comments on it, gives advice, recalls a decision and describes college after enrolling. Each can be interesting, but they answer different research questions. This study codes only the clearly identified submitted-answer segments. It does not treat a later explanation as if it had appeared in the original file.
This boundary particularly matters when the conversation becomes causal. A student may believe a certain sentence delighted a reader or helped secure an outcome. Without access to an admissions record that establishes that connection, the belief remains the student’s interpretation. The report can preserve the writing as evidence while declining to turn a recollection into an institutional rule.
The same restraint protects students learning from the examples. Read for how the writer makes a thought legible. Notice what has been selected, connected and left outside the frame. The exercise should sharpen attention to the student’s own experience. It should not create pressure to reproduce another person’s humor, emotional disclosure, unusual format or chosen organizations. The historical answer is evidence of one applicant’s expression; the next answer has a different person to reveal.
What the recurring references are doing inside an essay
Counting a course name is straightforward only at first glance. Consider the difference between a student who says a university offers excellent courses, a student who names a course, and a student who explains how that course would help answer a question that emerged from an earlier project. The three sentences belong to the same general subject. They supply different kinds of information about the writer.
Our coding does not assign them admissions scores. It records the presence of a named course and, separately, a connection between the writer's prior experience and prospective study. That separation allows a reader to see a basic feature of college-specific writing: institutional detail and personal explanation are related, but neither guarantees the other.
The school tables should be read with that distinction in mind. A category with a large count identifies a recurring kind of reference in the retained records. It does not say that every reference is well developed, that the admissions office rewarded it, or that a future applicant needs one. The narrower named-opportunity tables add another layer: they show which actual resources appeared, including cases where every named opportunity occurs only once and there is no defensible single winner.
A curriculum is a plan for making choices
A curricular feature is useful in an essay when it changes a student's possible education. The writer might care about freedom to explore, a sequence of common readings, the ability to combine methods, or a structure that creates time for work beyond campus. Merely announcing that a curriculum is distinctive leaves the educational consequence unstated.
One practical question exposes the difference: what would the student do differently because this structure exists? The answer might concern an unfamiliar subject they could try, a demanding sequence they want to complete, or the way they hope different courses will challenge one another. The student does not need a four-year schedule. They need enough of a plan for the reader to understand the attraction.
There is also room for uncertainty. A writer can know what kind of inquiry excites them without knowing a final major. They can explain a preference for testing ideas across fields without pretending to have settled on a career at seventeen. Specificity concerns the quality of the explanation, not the certainty of a distant prediction.
This distinction helps explain why broad labels need close reading. Interdisciplinary study can mean a genuine question that requires several methods. It can also mean listing several interests without showing how they interact. The coding rule counts explicit connections between fields; it does not infer integration simply because two subject names appear in the same paragraph. A student reading the examples should make the same distinction in their own notes.
A course name is a claim that needs checking
Named courses offer attractive raw material because they are concrete and searchable. They also create an obligation. A course can change its title, move between departments, require prerequisites, be offered irregularly, or be intended for a different level of study. An essay written several years ago cannot establish that the same opportunity will be available to a new applicant.
For that reason, the opportunity registry preserves what the historical writer mentioned without certifying every item as a current promise. The current official sources in the school chapters provide a starting point for checking an educational plan. Students should read the relevant catalog entry, the department's description, and any restrictions before making a claim about access.
The strongest research note is usually longer than the sentence that survives in the essay. It records the source, the date checked, the educational purpose, and the reason the student is interested. The final prose can be brief because the thinking behind it is complete. Research does not need to appear as a pile of facts on the page to improve the page.
A useful revision test is to temporarily remove the title of the course. Does the sentence still explain what the student hopes to learn? If the remaining words say only that the course is fascinating, the name may be carrying more weight than the explanation. If the sentence identifies a question, method, or gap in the student's experience, the title is doing a more precise job: identifying where that learning might occur.
Faculty and research references require realistic verbs
The verbs around a professor's name can make an essay either careful or presumptuous. A student can be interested in a scholar's questions, hope to learn a method, or plan to investigate undergraduate research pathways. Those are expressions of interest. Announcing that they will work in a particular laboratory can imply access they do not control.
The same problem appears when a writer names a research center. A university may have a center whose work inspires the applicant, but the center's existence does not by itself establish an undergraduate role. Students need to distinguish an intellectual influence from an accessible educational opportunity. A center can be worth mentioning for either reason, provided the sentence is accurate about which reason applies.
This study groups faculty and laboratory references separately from broader research opportunities. A record can receive both codes when both are present. A writer who discusses undergraduate research without naming an individual still has a research reference. A writer who names a professor because of a course does not automatically receive the research code. These choices prevent the chart from turning every academic proper noun into the same kind of evidence.
For the next applicant, the lesson is a matter of precision. Use a verb that matches the available evidence. Learning about, applying to, exploring, and hoping to contribute describe different levels of certainty. The appropriate verb helps a reader understand the student's initiative without mistaking aspiration for an arrangement already secured.
Community has to include other people
Community language can become so agreeable that it reveals little. Almost any applicant can say they want kind peers, stimulating conversations, and a welcoming campus. The more revealing question is how the writer expects to participate in those conditions. What do they do when people disagree? What do they notice that others miss? What responsibility are they prepared to share?
The community code captures expressed reasons about belonging, peer interaction, dialogue, and the social character of campus. The contribution code captures something different: an intention to add, serve, organize, support, or otherwise participate in the life of that community. An essay can contain one without the other. A student can describe what they hope to receive without explaining what they might offer; another can explain a contribution without naming a club.
That second possibility matters. A list of student organizations is only one way to make community concrete. A habit of making room for quieter classmates, a sustained practice of collaborative work, or an interest in translating between perspectives can also clarify the writer's proposed participation. Whether a particular essay does that well requires reading the explanation. The absence of a club name is not an automatic weakness.
Penn's admissions office describes its short answers as a way to understand an applicant's thinking about others, community, academic aspirations, and the university. Its guidance asks applicants to answer the actual questions and preserve their own perspective. That official description is consistent with reading resources as part of a relationship between person and place, rather than as a checklist of names. Penn writing guidance
Location is educational when the writer makes it educational
A city, a rural setting, or access to the outdoors can be a real reason to choose a college. The question is what the location changes. Does it create a form of fieldwork, a community partnership, a practice, a pace of life, or a kind of attention the student values? A place name can identify a setting; an explanation shows why the setting matters.
The coding therefore treats location as a category in its own right. It does not demote a geographic reason merely because it is less academic than a course title. Nor does it assume that a student who mentions a city has explained an educational relationship. A location reference and a developed account of fit are different observations.
Students can test a geographic reason by describing an ordinary week. What would they do, with whom, and how often? The answer can reveal whether the attraction is a sustainable part of life or an image borrowed from a travel page. This is an original planning exercise, not a finding that weekly routines have any measured effect on admissions outcomes.
Personal continuity makes a proposal intelligible
The most analytically useful connection in many essays is temporal. Something the student has already experienced helps explain something they want to pursue. The past does not need to be spectacular. Its purpose is to establish why the future proposal belongs to this particular writer.
Continuity is not the same as a perfectly consistent life story. A student can describe changing their mind, discovering a limitation, or becoming interested in a field that initially frustrated them. Those are also connections between experience and future learning. The relevant question is whether the essay makes the transition understandable.
This is why the personal-continuity category requires a link, not just a childhood anecdote and a university name somewhere later in the essay. The reader should be able to identify what carries forward: a question, a responsibility, a method, a dissatisfaction, or a possibility. When that connection is absent, adding more campus details may increase specificity on the institutional side while leaving the central explanation unfinished.
The finding remains descriptive. We cannot say how much an admissions reader valued a given connection. We can say what the public text allows another reader to understand. That is a narrower conclusion than a formula for admission, and a more practical one for the student sitting in front of an unfinished draft.
A practical research route from curiosity to a defensible college choice
The application examples become useful when they change the next student's questions. Copying a successful writer's opportunity list transfers the visible nouns while leaving behind the experiences that gave those nouns meaning. A better use of the evidence is to build a research process that starts with the student's own needs and ends with claims the student can explain.
The process below is an editorial planning method developed for this report. It was not experimentally tested, and the corpus does not establish that completing it increases an applicant's probability of admission. Its purpose is more immediate: help a student investigate a college, make a reasoned choice, and write about that choice accurately.
Start with the assignment, including the parts that are easy to miss
Create a separate note for each institution and undergraduate school. At the top, record the application cycle, applicant type, exact official prompt, word limit, and the date the information was checked. Keep the official link beside the note. This small administrative step protects against a common research error: solving an earlier version of the assignment.
Read the verbs in the question. Explaining what interests you, describing how you would contribute, reflecting on an experience, and discussing why a particular curriculum suits you are different tasks. They can overlap, but a response should not assume they are interchangeable. Identify what the prompt asks the reader to learn about you before deciding which campus facts to collect.
Next, write a plain-language sentence that states the job of the answer. For a hypothetical academic prompt, it might be: explain why I want to study this question and how this college would help me investigate it. For a hypothetical community prompt, it might be: show how I participate with others and why that participation could matter here. These are planning descriptions, not suggested sentences to paste into an application.
If the assignment asks about a community you already belong to, do not automatically turn it into a tour of future campus clubs. If it asks about academic interests, do not assume that a paragraph about the city will answer it. The question sets the boundaries of useful research.
Build the student side before collecting impressive names
Write down three situations that left you with a question, a responsibility, or an unfinished piece of work. They can come from school, paid employment, family obligations, a hobby, a local organization, or something you pursued independently. The purpose is to find the substance of your interests before a university's publicity supplies the vocabulary.
For each situation, identify what you actually did. Then identify what you did not yet understand or could not yet accomplish. A useful academic interest often becomes clearer at that boundary. A person who has analyzed a small set of survey responses may want stronger methods. Someone who has helped a community organization may want to understand the policy constraints behind a recurring problem. Someone who enjoys a form of art may want a more demanding practice or a different critical tradition.
These examples are hypothetical. They illustrate the structure of a research question without borrowing a real applicant's story. A student should replace them with their own experience, including experiences that seem ordinary. The relevance of an experience comes from what it helps explain, not from whether it would sound prestigious in a headline.
At this stage, avoid making every interest serve a final career. A college education can be a place to discover an occupation, revise a goal, or learn something valuable without turning it into a profession. A clear explanation of curiosity is more honest than a grand professional plan adopted because it sounds complete.
Investigate the structure before the exceptional opportunity
A special laboratory or unusual seminar can be exciting. Before relying on it, understand the ordinary educational structure in which you would study. Look at the undergraduate school, the major or concentration, the requirements, the flexibility to change direction, and the relationship between introductory and advanced work.
This helps distinguish a real fit from a single attractive detail. A student might love one course while disliking the surrounding program. Another might discover that an institution offers several paths toward the same intellectual question, making it a more durable match than the first intriguing course suggested.
Keep separate notes for required, optional, competitive, and uncertain opportunities. A required course has a different status from a selective fellowship. A student organization open to new members differs from a position that requires an audition or election. An undergraduate research program with a published application process differs from a laboratory webpage that provides no route for undergraduates.
The final essay need not explain every qualification. The student's research should nevertheless respect them. When access is uncertain, write the aspiration as an aspiration. When a resource is a research lead rather than a confirmed option, investigate further before making it central to the college choice.
Use several kinds of official evidence
An admissions overview explains the institution's public story. A catalog clarifies the academic rules. A department page can identify methods, courses, and undergraduate pathways. A student organization directory can show whether a group is currently recognized. A research program page may explain eligibility and deadlines. These sources answer different questions.
A student does not need to read every page. They need enough evidence to support the claims they actually plan to make. If the essay rests on an opportunity's accessibility, verify access. If it rests on a curricular structure, verify the structure. If it rests on a faculty member's work, read a current institutional profile and identify the intellectual connection instead of relying on a name in an old example essay.
Cornell's virtual-visit resources include live sessions, recorded material, and information about its colleges and schools. Those resources provide one example of a route into institutional research that does not require a trip to campus. The same underlying method applies elsewhere: use the official sources that answer the educational question in front of you. Cornell virtual visit
Record a short note in your own words after each useful source. Copying large passages from university websites can make it harder to tell later which phrases are yours. A research note should capture the fact, its relevance, and any uncertainty. Save the link so you can return to the original when checking the draft.
Build a connection that survives a follow-up question
For each possible college reference, complete four fields: my starting experience, the question or need it produced, the relevant opportunity, and the next action I could reasonably take. The fields turn a vague attraction into an explanation that another person can follow.
Consider a hypothetical student interested in neighborhood flooding. The starting experience might be helping document recurring water damage near home. The question could concern how physical infrastructure and local decision-making interact. The college research might identify appropriate undergraduate study in environmental systems and public policy. The next action might be learning a method, joining a relevant project after meeting its requirements, or exploring a course sequence. The student would still need to verify every institution-specific detail.
The exercise does not require turning the student into an expert. It requires matching the claim to the student's actual level of experience. A beginner can explain what they hope to learn. A student with substantial prior work can explain the limits of that work and why a more demanding setting matters. Both can be specific without exaggerating.
Now ask a follow-up question: why this opportunity rather than another way to pursue the same interest? The answer does not have to establish that the university is unique in the world. It should explain a meaningful choice. Many institutions share features; a student's reasons can still be particular to the combination of education, community, and setting they want.
Make community reciprocal
For a community-focused answer, add a second column to the research note. On one side, write what you hope to learn or receive. On the other, write how you expect to participate. The two sides need not be equal in length, and they should not become a promise to transform a campus before arriving.
Concrete participation can be modest. A student might bring a practice of organizing shared work, listening across disagreement, teaching a skill, sustaining an artistic group, or noticing who is left out of a conversation. The point is to make the proposed relationship understandable. Grand claims about changing the world can obscure a more credible description of how the writer behaves with other people.
Avoid claiming ownership of a community you have not joined. An applicant can be eager to learn from a cultural organization without assuming that its members exist to supply an experience for the applicant. They can be interested in service without treating nearby residents as a backdrop for personal development. Language that recognizes other people's agency usually describes the relationship more accurately.
The question is also an opportunity to test the college itself. If the community you hope to join seems inaccessible, or if the activities you value would be difficult to sustain there, that is useful information for the college list. Research should help a student make a decision, not simply supply material for a persuasive paragraph.
Draft from the explanation, then verify the nouns
Write a first version using ordinary language. Explain the interest and the proposed relationship before worrying about a clever opening. Once the explanation is visible, decide which details carry it efficiently. Some campus names may become unnecessary. Others may deserve a sentence because they make the educational plan concrete.
Read the draft in two directions. First, follow every statement about yourself and ask whether it is accurate. Then follow every statement about the institution and ask whether it is supported by a current source. A sentence can be sincere on the personal side and wrong on the institutional side; it can also be factually correct about the college while overstating the student's experience.
Do a final prompt check after cutting to the word limit. Editing can remove the very sentence that answered the question. A polished opening and ending do not compensate for a missing explanation of the major, the community, or the chosen undergraduate school when the prompt specifically asks for it.
Ask a reader who knows you what they learned from the essay. Ask a reader less familiar with you what connection they understood between your experience and the institution. Their answers can reveal different problems. The first reader may notice an unnatural voice; the second may notice an unexplained leap. Neither reader should be asked to replace your perspective with theirs.
Finish with a usable record, not a larger pile of facts
The completed research note should fit on a manageable page: the current assignment, the personal starting point, a few verified opportunities, the explanation connecting them, and a list of remaining questions. It can support an essay, an interview, and a later comparison of admission offers.
The interactive worksheet accompanying this report follows that structure. It helps a reader assemble and copy a research note; it does not calculate an admissions score. Its output stays in the browser session unless the reader chooses to copy it. A useful tool should make the student's reasoning clearer, while leaving authorship and judgment with the student.
Who gets the time and access to sound well informed?
An essay about a college can quietly become an essay about access to information. One applicant has visited several campuses, spoken with family friends who attended, and received detailed feedback. Another is researching after a work shift on a shared device. Both may have strong reasons to pursue an education. They do not necessarily have the same opportunity to learn the names and conventions that make those reasons sound institutionally fluent.
The public corpus cannot measure those differences. It does not contain a reliable household-income field, a complete account of school counseling, or a verified history of private coaching. We therefore do not infer a student's resources from an elegant sentence, a foreign location, a named program, or the platform on which the essay appears. Such inferences would turn an incomplete record into a personal classification it cannot support.
The broader research literature nevertheless gives a reason to take the issue seriously. In a 2021 study of 240,000 essays from 60,000 University of California applicants, researchers found substantial relationships between essay content and style, self-reported household income, and SAT scores. Those were applications submitted in November 2016, not the recent Ivy League supplements analyzed here. The study does not tell us how an Ivy reader judged a particular essay. It shows why essay language should not be treated as socially neutral evidence of merit. Alvero and colleagues
That distinction matters for families. A polished public example may be instructive as writing without being a fair benchmark for every student's circumstances. The next applicant should not assume that they need the same travel, paid experience, or specialized exposure to have something meaningful to say. The report's coding describes what is visible; it does not turn access to a named opportunity into a requirement.
Campus knowledge and demonstrated interest are different questions
Students sometimes confuse learning about a college with accumulating evidence that they have contacted it. The two activities can overlap, but they serve different purposes. A visit can help a student decide whether a place suits them. It does not follow that repeated visits improve an admission decision.
Brown's admissions guidance states that calling, emailing, or visiting to demonstrate interest does not affect the admission decision. Cornell similarly says it does not track or consider demonstrated interest and that campus visits are neither required nor expected. Those are institution-specific policies, checked for this report; they should not be generalized automatically to every college. Brown admission-process FAQ Cornell demonstrated-interest FAQ
A useful consequence follows. At those institutions, students can distinguish the educational value of research from the imagined value of being seen to research. A virtual event, a catalog, and a careful reading of an undergraduate program may answer the question they need answered. A family should evaluate a campus trip by what it can help them learn, alongside its cost and feasibility.
The same principle applies to contacting a professor. A student may have a substantive question that is appropriate to ask. Sending messages solely to create a name for an essay is a different activity, and this study supplies no evidence that it improves an application. Contact should have a real informational purpose and respect the recipient's time.
Ordinary experience can generate serious questions
One reason successful-essay collections can intimidate students is that publication creates a second selection process. The examples available to read are those someone chose to share and someone chose to display. A student whose responsibilities are less easily packaged into a dramatic story may see little of their life represented.
The appropriate response is not to invent a more impressive life. It is to examine ordinary experience more carefully. Paid work can reveal questions about organization, incentives, communication, or care. Family responsibilities can create knowledge about systems and obligations. A local project can expose a problem that an undergraduate education would help a student understand more fully.
These are possible starting points, not a claim that particular topics receive favorable treatment in admissions. The study has no rejected comparison group with which to test that proposition. Its practical argument is about relevance: an experience can support a reason for study when the writer explains the question it generated.
A student also has the right to choose the boundaries of disclosure. A community or experience prompt does not oblige someone to publish their most painful event. The public archive should not be read as evidence that difficulty must be dramatized to matter. An applicant can explain curiosity, responsibility, change, or participation through material they are comfortable sharing.
Public guidance should lower the cost of understanding
The most useful free resource is not necessarily another collection of model essays. It may be a clear explanation of the current prompt, a verified route to undergraduate opportunities, or an example of how to check whether a program is accessible. Those resources help students reason about their own choices instead of borrowing someone else's presentation.
This report makes its definitions, denominators, and source links visible for that reason. A student should be able to inspect a claim without purchasing access to the underlying analysis. The published data do not reproduce complete copyrighted essays, but they point to the public originals and show the short factual basis for each code.
The Ivy Institute is a college admissions consulting firm and has a commercial interest in the field discussed here. It also has an interest in making the mechanics of college research easier to understand for students who will never become clients. Publishing a count is useful only if readers can see what was counted and what the count leaves out.
There is an editorial responsibility in that choice. A company could use selected successful essays to promise an advantage that the evidence does not demonstrate. This report instead offers a reproducible description of a limited archive and a free method for doing better college research. Its community purpose depends on maintaining that distinction when the findings are summarized, quoted, or turned into advice.
How the study was conducted
Research questions and design
This is a descriptive content analysis and bounded public-source evidence review. It asks which institutional opportunities and reasons appear in publicly available college-specific essays associated with reported successful Ivy League applications, how those references differ across the retained school samples, and what the evidence permits a student or family to learn. It also examines the reliability of the public labels that make such a study possible.
The design is observational. No student was assigned an essay topic, no admissions reader was asked to score a response, and no experiment tested alternative drafts. The study does not estimate the effect of mentioning a course, professor, organization, or community value on admission. Its quantitative results are counts of observed textual references under disclosed inclusion and coding rules.
The reporting structure includes the elements readers need to inspect a research claim: a defined question, eligibility rules, information sources, a record-selection process, coding definitions, results with denominators, limitations, and an account of authorship and interests. The PRISMA extension for scoping reviews provides a useful reporting framework for making such decisions visible. This project is not presented as a fully exhaustive systematic review, a registered review, or a certification of compliance with every checklist item. PRISMA scoping-review guidance
A working protocol was written during initial source scoping and before the final dataset was assembled. It was not publicly preregistered. Eligibility and coding questions encountered during extraction were reconciled in the final codebook. The downloadable package preserves the final definitions and arithmetic so readers can reproduce the tables, while the limitations explain where judgment remains involved.
Institutions, period, and eligible writing
The institutional scope comprises Brown, Columbia, Cornell, Dartmouth, Harvard, the University of Pennsylvania, Princeton, and Yale. The target period is entry in fall 2024, fall 2025, or fall 2026. An explicit application cycle of 2023–24, 2024–25, or 2025–26, or an explicit undergraduate Class of 2028, 2029, or 2030, supplied evidence for that window. A class label is treated as the source's claim about the cohort, not as a guarantee about an individual's eventual graduation date.
Publication date alone was insufficient. A video released during the search window could describe an earlier application. A webpage could have been updated for the current cycle while retaining an older example. The source register keeps the available publication date, the application or cohort evidence, and any discrepancy separate.
Eligible writing included a direct why-college response, a college-assigned academic-interest or why-major response, and a campus-community or contribution response. An academic-interest prompt could qualify even when the answer contained no university-specific proper noun. That decision preserves the distinction between the assignment's relevance and the content actually observed. The prompt never supplied a positive thematic code by itself.
General Common Application personal statements were excluded from the frequency analysis. Gratitude, joy, roommate, disagreement, and adversity answers were also excluded unless the available response separately met the defined academic or prospective campus-community scope. An essay solely about a past community did not automatically count as a reason to join the future college. The register records the eligible prompt types and the number of included answers for each application record.
Searching and selecting public sources
Searches combined each school name with terms concerning successful or accepted applications, supplemental essays, why-college writing, class years, application years, and students reading their own essays. The investigation followed links into university admissions blogs, official application instructions, student publications, public video recordings, commercial example guides, and openly accessible essay-library listings.
The search was purposive and iterative. It did not begin from a complete list of everyone admitted to an Ivy League institution, and it cannot provide a probability of selection for any student. Search-result rankings, availability, language, publication practices, and the willingness to share writing all influenced which records could be found. The search log documents concrete sources examined and material exclusions; it does not invent a total number of relevant pages on the internet.
The platform extension used the openly accessible first listing pages and linked free packages recorded in the source log for the institutions investigated there. It was not a census of a platform, an account of premium holdings, or an equal-sized sample from every school. No account purchase, paywall bypass, or access to private admissions files was used. Truncated public excerpts were not treated as complete answers.
For each candidate, extraction looked for three separate things: the relevant text, an explicit relationship to admission at the named college, and evidence placing the application in the target window. A source could satisfy one or two conditions and still fail inclusion. A student profile reporting an offer without the essay could provide context, but it could not supply a thematic count. A complete essay with no supported year could also be informative without entering the recent-cohort tables.
Two evidence views, with distinct meanings
The core-source view includes university-hosted student accounts of their submitted writing, identifiable students publicly reading their essays in dated recordings, and publisher examples that explicitly identify a recent successful cohort. These sources differ in strength. University-hosted enrollment information can corroborate a student's relationship to the institution; a commercial publisher's admission label remains a publisher report. None of these sources grants access to the confidential submitted application or the admissions decision record.
The expanded view adds free essay-library packages whose public metadata label the target institution, a recent application cycle, and an accepted result. These are platform-labeled records, not independently authenticated successful applications. They are shown separately because an apparently precise data field can still be wrong, recycled, incomplete, or attached to a text whose submission history is unknown.
The extended screen checked distinctive phrases where feasible and reviewed obvious internal inconsistencies. One recent-labeled Penn package matched an essay published earlier outside the target period. A Cornell package contained a response more than twice the stated limit of its community prompt. Such cases were excluded from the retained extension and recorded as concrete reasons for caution. Failure to find an older copy is not proof that an essay is original, correctly dated, or actually submitted.
Readers should use the core and expanded tables as a sensitivity comparison. A pattern that appears only after adding many unverified packages has a different evidential basis from a feature observed in the core. Even agreement between the views cannot authenticate either source or establish population prevalence. It shows only how a descriptive result changes under the stated inclusion decision.
The unit being counted
The primary unit is an applicant–school source record. Multiple eligible supplements explicitly belonging to the same application are combined. If a writer names the same opportunity in two included answers, that record contributes one mention to the corresponding topic. A student with public applications to two colleges can contribute one record to each school; the total is therefore not a verified count of unique people.
Anonymous examples require care. We combined material only when the source established the linkage and avoided treating uncertain anonymous examples as confirmed distinct applicants. Known republications were not counted twice. Where exact identity could not be established across sources, the record's status and the possibility of residual duplication remain limitations. The study counts observable records, not a fully authenticated registry of admissions files.
Essay counts are reported alongside record counts because exposure differs. One record might contain a single 100-word why-college answer. Another might contain several relevant responses. The latter gives more room for a topic to appear. We do not interpret a larger number of references as stronger interest, better writing, or a more successful admissions strategy.
Coding broad themes and named opportunities
Twelve binary categories describe the content. Curricular structure covers explicit references to the organization or flexibility of undergraduate study. Academic field covers a substantive future study interest. Named course requires an identifiable course title rather than a generic subject. Faculty or laboratory requires a named person or laboratory. Research opportunities include explicit proposed undergraduate research, whether or not a program is named.
Applied or experiential learning covers explicit learning through making, fieldwork, practice, project teams, internships, study away, or similar activity. Student organizations covers named groups or an explicit proposal to form a group, with proposed organizations labeled as such. Campus community covers stated attractions involving peers, belonging, dialogue, or campus relationships. Contribution or service covers an intention to participate, support, teach, organize, or serve in the prospective community.
Location covers a reason tied to the college's setting, city, region, or nearby natural environment. A student's hometown or an overseas destination mentioned only as past experience does not automatically trigger it. Interdisciplinary connection requires an explicit relationship between fields. Personal continuity requires a stated link between an existing experience, interest, or practice and a future educational or community proposal.
The categories overlap by design. A student can connect a course, a professor, and a research opportunity in one explanation. The resulting percentages need not add to 100. A zero means no qualifying mention was coded in the included text. It does not mean the student lacked the interest, the school lacked the opportunity, or another part of the private application did not discuss it.
Named opportunities were retained in a separate registry. Aliases were normalized when their identity was clear, such as an acronym and the full name of the same organization. Bundled lists were separated into individual references where the source supported that separation. A named opportunity is a historical textual observation, not an endorsement of its current availability. Unverified course titles, proposed clubs, and uncertain names are labeled rather than silently corrected into institutional facts.
Calculation, verification, and uncertainty
For each school and source view, a topic count is the number of retained records with a positive code. The denominator is every retained record for that school in that view. Tables print the fraction as well as the percentage. When no core record was retained, the cell is marked unavailable rather than rendered as a zero-percent finding.
Ties remain ties. A school with one observed application cannot support a claim that one of several once-mentioned opportunities was uniquely most common. The named-opportunity tables sort by observed count, preserve tied values, and include source IDs so the reader can see the contributing records. The charts use the same machine-readable counts as the tables.
The verification process checked source eligibility, prompt boundaries, duplicate handling, code consistency, and arithmetic. A second editorial source review examined selected disputed or higher-risk records and reconciled concrete issues. This was an internal checking process, not external peer review. No blinded independent human coding study was conducted, and no inter-rater agreement statistic is claimed.
Confidence intervals and significance tests are not supplied. A convenience sample with unknown selection probabilities cannot support an ordinary sampling-error interpretation for all admitted students. Adding a precise-looking interval would not repair the absence of a representative sampling frame. The appropriate uncertainty is described through source status, small denominators, alternative inclusion views, and the limits of the observed texts.
Ethics, availability, and publication status
The analysis uses material made publicly available by its source. It does not reproduce full copyrighted essays, publish private client records, infer sensitive personal characteristics, or disclose nonpublic contact information. Public names are retained only where relevant to a source's provenance; the analysis can be followed through record IDs without needing to compare students as individuals.
The downloadable evidence package contains the source registry, coded data, definitions, aggregate tables, and a script that recalculates the figures. It omits complete source essays and full video transcripts. Those remain with their original publishers. Readers can inspect the linked originals subject to the source's current availability and terms.
The report was prepared for publication by The Ivy Institute. It has not undergone external peer review and is not represented as a journal-accepted study. The phrase Nationwide Study identifies the national institutional scope of the publication series; it does not mean the sample is nationally representative. No university's participation in or endorsement of this study is implied.
What remains unknown, and what a stronger study would require
The central limit is easy to state and difficult to remove: public successful essays are selected twice. First, an institution admits a student through a process we cannot observe in full. Then the student or another publisher makes some of that student's writing available. The resulting collection reflects both selection processes. It is not a random sample of what successful applicants wrote.
The public archive also has missing pages inside each case. We may see one academic response but not the activities list, recommendations, transcript, personal statement, or other supplements. An absent topic in the visible answer may appear elsewhere. The study therefore makes claims about the retained text, not the complete person or the complete application.
Success labels do not establish causes
The most tempting inference is that a feature caused an admission because it appears in a successful application. That inference requires information this project does not possess. We would need to know how common the same feature was among otherwise comparable applicants who were not admitted, how other parts of the file differed, and how the institution evaluated the feature.
A simple thought experiment shows the problem. Suppose nearly everyone in a hypothetical admitted sample mentions a research opportunity. If nearly everyone in the rejected sample does too, the reference may do little to distinguish outcomes. Conversely, a rare reference could be effective for a few students without becoming common in the successful archive. Frequency and predictive value are different quantities.
Even a comparison between admitted and rejected applicants would not automatically establish causation. Students choose their topics, and those choices may correlate with preparation, resources, interests, and other application characteristics. An observational association could be informative, but it would require careful design and cautious interpretation. This report does not possess such a comparison and does not imply that it does.
The prompt changes what can appear
A question about a future major creates more opportunity for an academic field to appear than a question about a roommate. A direct why-college question invites institutional references that a personal-experience question may not need. Word limits further constrain how many details can fit. Differences between school counts can therefore reflect the assignments as much as the students.
The report addresses that issue by retaining prompt types and essay counts, but it cannot eliminate it. A more advanced analysis would compare like prompts within the same cycle, examine the effect of available word space, and keep academic, institutional, and community responses distinct before considering any combined summary.
That design would also need to accommodate change. A question removed from a later cycle cannot be treated as a constant measure across years. The meaningful comparison might be how the application asks students to reveal fit, rather than whether it uses a sentence containing the university's name. Historical examples should be interpreted within the work the original question assigned.
Public libraries introduce another layer of uncertainty
An essay-library label can be useful for finding a candidate record without being sufficient to authenticate it. A platform may have accurate information in many cases and misleading or incomplete information in others. The relevant methodological question is not whether the whole platform is trustworthy or untrustworthy. It is what evidence supports each record being counted.
That is why this study preserves the distinction between the core and expanded views. It also explains why the extension cannot be repaired merely by making it larger. More records can increase the precision of arithmetic about the collected pages while leaving the validity of their admission labels unresolved.
Students should draw the same distinction when reading online examples. A page can be useful for studying a writing technique without proving a result. A label such as accepted, successful, or worked is a claim whose source matters. The safest educational use is to inspect the writing and the provenance separately.
A more complete research design
A stronger study would begin with consented application materials from a clearly defined set of applicants and cycles. It would establish which drafts were actually submitted, document the admissions outcome at each institution, and record the complete relevant prompt set. Researchers would specify how cases entered the sample and report how those who consented differed, where measurable, from those who did not.
To study associations with outcomes, the sample would need both admitted and nonadmitted applicants. It would need enough cases within each institution, undergraduate school, and cycle to avoid treating very different admissions contexts as interchangeable. Relevant background variables would have to be collected ethically and with a clear purpose, not inferred from prose.
The coding would be established before examining the outcomes for the principal comparisons. Multiple independent coders could evaluate a shared subset, clarify ambiguous definitions, and report agreement with an appropriate statistic. Disagreement would be informative: it could reveal that a category such as community is too broad or that a distinction between interest and opportunity is difficult to apply consistently.
The analysis plan should separate descriptive questions from predictive ones. Descriptive questions ask what applicants wrote. Predictive questions ask whether features improve the ability to distinguish outcomes after accounting for other information. Causal questions ask whether changing a feature would change an outcome. Each requires more evidence than the one before it.
A privacy-preserving publication could release aggregate results, a detailed codebook, and deidentified coding examples without making every student's full application public. Researchers could also publish the limitations of outcome verification and missing data. Transparency does not require turning sensitive educational records into an open archive.
What can be used responsibly now
The limits do not erase the value of the present study. They define it. We can show that specific public writers used particular opportunities to explain their intentions. We can compare the kinds of references visible in the retained school samples. We can identify where a current prompt differs from a historical example. We can give students a method for checking a college claim before repeating it.
Those uses are valuable because they remain close to the evidence. A counselor can ask a student what a course would help them learn. A parent can ask whether a campus attraction matters to an ordinary week of life. A student can notice that a published example works through an intellectual question rather than a list of prestige signals. None of those conversations requires pretending that the study has measured an admissions advantage.
The most responsible next step is therefore practical and modest: investigate the actual institution, understand the current assignment, and explain a relationship that belongs to the writer. The public examples can sharpen that work. They cannot do it on the writer's behalf.
About The Ivy Institute and this publication
The Ivy Institute is a college admissions consulting firm that also publishes research and practical educational resources. Its research program brings together public evidence and, in separately identified projects, findings from advising work to help students and families understand selective admissions more clearly. This report uses public sources; private client applications are not part of its numerical corpus.
The Institute's community aim is to make useful information available beyond families who purchase consulting services. A student should be able to learn how to investigate an academic program, evaluate an example essay, and question a statistical claim without becoming a client. The public source register, exact denominators, and reproducible tables are part of that commitment.
The Institute has a commercial interest in college admissions guidance. That relationship does not establish the validity of a finding, and the report should be judged by its sources, definitions, calculations, and limits. No external funding or university endorsement is claimed. The publication has not undergone external peer review.
Readers can explore the Institute's research collection, examine its separate study of what makes a why-college essay specific, read its public case studies, learn about its staff, or use the contact page to identify a source error or propose a correction. A correction should name the record or claim, explain the issue, and provide the supporting source so the change can be assessed and documented.
Build your own college-research note
This worksheet organizes your thinking. It does not score an essay or predict admission. Nothing entered here is sent to The Ivy Institute by this tool. Copy the note before leaving this page.
Your research note
Application source register
These links identify the public material counted. A record is an application-associated source unit, not a confidential admissions file or a certified unique person. Full source essays are not republished.
B-C01 · Brown · 2029_or_2030 · Core · publisher-reported
Brown supplemental essays: admitted student example — Crimson Education. Eligible answers: 1.
Date basis: Source identifies class 2029_or_2030.
Outcome basis: Publisher explicitly describes this response as an admitted student essay.
Qualification: Introduction says Class 2030; both example headings say Class 2029. Both are within study window, but exclude from precise cohort trends. Source redacts one location. Hypothetical teach-a-class response excluded from primary prompt scope. No admissions-file authentication.
C-C01 · Columbia · 2030 · Core · publisher-reported
Columbia supplemental essays: lived-experience example — Crimson Education. Eligible answers: 1.
Date basis: Source identifies class 2030.
Outcome basis: Publisher explicitly describes this response as an admitted student essay.
Qualification: Commercial publisher labels Class 2030. Same page has a separate adversity example that is excluded; author identity/linkage unspecified. No admissions-file authentication.
D-O01 · Dartmouth · 2028 · Core · university-hosted
Reflecting on my Why Dartmouth? — Dartmouth Admissions. Eligible answers: 1.
Date basis: Source identifies class 2028.
Outcome basis: Official student profile establishes enrollment.
Qualification: Only the original quoted essay is coded. Later reflections and updated biography are excluded.
D-O02 · Dartmouth · 2028 · Core · university-hosted
In Short, Why Dartmouth? (100 words) — Dartmouth Admissions. Eligible answers: 1.
Date basis: Source identifies class 2028.
Outcome basis: Official student profile establishes enrollment.
Qualification: Official profile says Class 2028. References to Class 2029 address readers, not author cohort. Code only displayed essay bullets, excluding later commentary. The page does not independently prove exact submitted wording; perform sensitivity excluding this reconstructed format.
D-O03 · Dartmouth · 2029 · Core · university-hosted
Reflecting on my Why Dartmouth Essay — Dartmouth Admissions. Eligible answers: 1.
Date basis: Source identifies class 2029.
Outcome basis: Official student profile establishes enrollment.
Qualification: Official Class 2029 student profile. Original response is presented as sequential quotations totaling approximately100 words; code only quotations, never later experiences. Research is generic, not a named lab.
D-C01 · Dartmouth · 2029 · Core · publisher-reported
Dartmouth supplemental essays: 100-word fit example — Crimson Education. Eligible answers: 1.
Date basis: Source identifies class 2029.
Outcome basis: Publisher explicitly describes this response as an admitted student essay.
Qualification: Commercial publisher labels Class 2029. Another same-page background essay is excluded. No admissions-file authentication.
B-P01 · Brown · 2023/2024 · Essay-library label · unverified
Embracing Tradition, Embracing Change: My Journey from South India to Brown — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Course titles and low-prerequisite assertion are source claims, not verified institutional facts.
B-P02 · Brown · 2024/2025 · Essay-library label · unverified
Exploring the Intersection of Computer Engineering and Language at Brown — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
B-P03 · Brown · 2023/2024 · Essay-library label · unverified
Exploring the Mathematics of Music at Brown — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Columbia6621950f package has strikingly parallel event biography but a different city; potential shared student/template, do not assert unique person across schools.
B-P04 · Brown · 2024/2025 · Essay-library label · unverified
Forging Community Through Love and Care — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Shared biography with Columbia68297212; one person may contribute two applicant-school observations.
B-P05 · Brown · 2024/2025 · Essay-library label · unverified
Exploring Mathematics and Nature: Pursuing Academic Passions at Brown — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Program availability and lab description are unverified claims within the essay, not admissions recommendations.
B-P06 · Brown · 2023/2024 · Essay-library label · unverified
Creating a Specialized Study: Navigating the Intersection of STEM, Sociology, and Theater at Brown — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
B-P07 · Brown · 2023/2024 · Essay-library label · unverified
Engineering Robots for Coral Restoration: A Multidisciplinary Approach — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Proposed concentration/degree combination is the applicant’s plan, not confirmed approval.
B-P08 · Brown · 2023/2024 · Essay-library label · unverified
Crafting a Path: Exploring Neuroengineering at Brown — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Aug2,2024 How I Got In profile reports Filippo/UpDrop/Brown offer and Dec2023 test; possible external match, not proof this exact essay was submitted. Cross-school biography matches Yale Y01(Fonseca household,UpDrop); count separate applicant-school observations, not independent people.
C-P01 · Columbia · 2025/2026 · Essay-library label · unverified
Interdisciplinary Portable MRI Innovation at Columbia: From MR SCIENCE Lab to BiomedX — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2025/2026; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
C-P02 · Columbia · 2024/2025 · Essay-library label · unverified
Embracing Diversity: A Journey of Language and Inclusion — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
C-P03 · Columbia · 2024/2025 · Essay-library label · unverified
Embracing Diverse Perspectives: My Interest in Columbia University — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
C-P04 · Columbia · 2023/2024 · Essay-library label · unverified
Empowering Youth Through Music and Education: My Vision for Columbia's Inclusive Community — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Parallel Brown661f1284 event biography; do not assume distinct unique person across schools.
C-P05 · Columbia · 2023/2024 · Essay-library label · unverified
Advocating for Women's Rights: A Perspective on Unity and Collaboration — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Parallel Dartmouth661e505d service biography; likely same applicant-school family. Named program eligibility not verified.
C-P06 · Columbia · 2024/2025 · Essay-library label · unverified
Integrating Core Curriculum and Engineering: My Interest in Columbia University — Clastify. Eligible answers: 2.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Community response excluded after 159-word length check against150-word recent limit; only 97-word why and99-word academic responses coded.
C-P07 · Columbia · 2024/2025 · Essay-library label · unverified
Decoding Neural Activity: Merging Mind and Machine — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Shared biographical narrative with Brown68297054.
C-P08 · Columbia · 2024/2025 · Essay-library label · unverified
Exploring Analytical Rigor and Real-World Application at Columbia University — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Named lab is source claim, not verified institutional unit.
C-P09 · Columbia · 2023/2024 · Essay-library label · unverified
Creative Problem-Solving: Navigating Perspectives from Post-Communist Slovakia to Columbia — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Possibly matches Borderless Slovakia-to-Columbia profile; independent confirmation of exact essay unavailable.
C-P11 · Columbia · 2023/2024 · Essay-library label · unverified
Embracing Columbia's Dynamic Culture — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
C-P12 · Columbia · 2023/2024 · Essay-library label · unverified
From Working-Class Roots to Ivy League Dreams: Embracing Socioeconomic Diversity at Columbia — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Related Penn6678c4e4 package likely same applicant; count applicant-school observations, not unique students.
C-P13 · Columbia · 2023/2024 · Essay-library label · unverified
Unveiling the Molecular Mysteries: Pursuing Biology at Columbia College — Clastify. Eligible answers: 3.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
D-P01 · Dartmouth · 2023/2024 · Essay-library label · unverified
Embracing Dartmouth's Academic and Innovative Community — Clastify. Eligible answers: 1.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Parallel Columbia661e4e73 package likely same applicant. Research description is source claim.
D-P02 · Dartmouth · 2024/2025 · Essay-library label · unverified
Quantitative Skills and Community Impact: Why Dartmouth is the Perfect Fit — Clastify. Eligible answers: 1.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission. Course/faculty pairings are unverified source claims; do not repeat as current course availability.
D-P03 · Dartmouth · 2024/2025 · Essay-library label · unverified
Finding a Home for Innovation and Impact at Dartmouth — Clastify. Eligible answers: 1.
Date basis: Public platform applicationYear label 2024/2025; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
D-P04 · Dartmouth · 2023/2024 · Essay-library label · unverified
Embracing the Golden Circle: My Dartmouth Journey — Clastify. Eligible answers: 1.
Date basis: Public platform applicationYear label 2023/2024; not independently authenticated.
Outcome basis: Public platform isAccepted=true. Not a university confirmation.
Qualification: Platform labels accepted and application year; neither independently authenticated. Exact-phrase searches do not establish originality or submission.
H01 · Harvard · 2025 · Core · named first-person
How Clay Penguins got me into HARVARD | ADMITTED S5 EP6 — The Classic TV / Townsend Harris student newspaper. Eligible answers: 2.
Date basis: Episode identifies high-school class of 2025; published before fall 2025 and says Harvard-bound.
Outcome basis: Named student reads her Harvard essays in a school newspaper interview explicitly describing admission.
Qualification: Admission and essay submission are newspaper/student reports, not authenticated admissions records. Captions contain ASR errors; course/lab and club spellings cross-checked on Harvard pages. One application, two supplements. Research_program counts proposed lab engagement; experiential_learning counts making an assistive device.
H02 · Harvard · 2024 · Core · named first-person
Reading the Essays That Got Me Into HARVARD & NORTHWESTERN — Iyanu Shonukan. Eligible answers: 2.
Date basis: Harvard Nigerian Students Association names Iyanuoluwa Shonukan as class 2028; public LinkedIn lists Harvard2024–2028; contemporaneous video describes200-word supplements.
Outcome basis: First-person admitted-essay reading; official Harvard laboratory bio independently confirms student affiliation.
Qualification: Courses are generic Spanish courses, not a named title; immersion program unnamed. No named campus group or faculty. Other Northwestern essay excluded. Biomedical career and language study explicitly linked.
Y01 · Yale · 2024 · Core · named first-person
Reading ALL THE ESSAYS that got me into Yale (+tips for T20 supplementals) — filippo studies. Eligible answers: 3.
Date basis: Video description explicitly says2023–24 admissions cycle for class 2028; opening says incoming freshman.
Outcome basis: Student explicitly presents all Yale supplements as those in his successful application.
Qualification: No named faculty, course, or research program. Research_program code refers to explicit generic research opportunities. Davenport is residential community, not curricular structure. A New Haven pun is not coded as location preference. Student speculation about admissions/residential assignment effects is not treated as evidence.
Y02 · Yale · 2024 · Core · named first-person
How I Got Into FIVE IVIES: Reading My Common App Essay + Yale Supps — The Classic TV / Townsend Harris student newspaper. Eligible answers: 1.
Date basis: Episode identifies Yale class 2028; Yale Schwarzman performance program independently lists Sally Zheng28.
Outcome basis: Named school-newspaper interview explicitly identifies admission and reads Why Yale answer.
Qualification: Common App and short takes excluded. Student-group name standardized as Redhot & Blue. Generic research appears; no named course/faculty. Community_culture coded for explicit Yale And academic/arts culture, not mere group-name presence.
Y03 · Yale · 2025 · Core · named first-person
Essays that got us into Yale and Washington and Lee | ADMITTED S5 EP3 — The Classic TV / Townsend Harris student newspaper. Eligible answers: 1.
Date basis: Video/podcast description identifies high-school class 2025 and upcoming Yale enrollment.
Outcome basis: Named student identifies Yale enrollment at29seconds; publication explicitly describes acceptance.
Qualification: Historical Sloan Kettering research is NOT counted as a Yale opportunity. No future Yale faculty, course, lab or campus group is named in the shared supplement. Later interview remarks are excluded. Contribution_service is0 because general future patient-care ambition is not a specified campus/service role.
P01 · Princeton · 2024 · Core · named first-person
How I Got Into Princeton: Reading My Common App Essay + Princeton Supps — The Classic TV / Townsend Harris student newspaper. Eligible answers: 1.
Date basis: Video description explicitly identifies Princeton class 2028 and Townsend Harris class 2024.
Outcome basis: Named student reads submitted academic supplement in school-newspaper admitted-student interview.
Qualification: Do not count post-essay interview comments about campus beauty or institutional size. Course spelling standardized using official Princeton sources. The student describes some degree/minor nomenclature loosely; report treats those as applicant language, not a verified catalog claim.
P02 · Princeton · 2026 · Core · publisher-reported
How To Write Princeton's Supplemental Essays For2025/26 — Crimson Education. Eligible answers: 2.
Date basis: Publisher explicitly identifies Class 2030 for both essays and says they are from one student.
Outcome basis: Publisher identifies two real responses by a student admitted to Princeton Class 2030.
Qualification: Both full responses available through public ShowMore interface and delivered HTML. Count1application, not2. Publisher-only outcome/cohort; identity anonymized and cannot independently corroborate. Institution references describe applicant intentions, not confirmed program eligibility. Distinctive phrase search found no earlier contrary source.
H03 · Harvard · 2026 · Core · publisher-reported
How To Write Harvard's Supplemental Essays For2026/27 — Crimson Education. Eligible answers: 1.
Date basis: Prompt4 full example explicitly labelled admitted student Class 2030.
Outcome basis: Publisher explicit admitted-student label.
Qualification: Anonymous publisher-only record, full public ShowMore text. Do not merge other page essays into this applicant. Identity cannot be independently deduplicated against other anonymous examples, so retain in separate publisher tier. Do not count distant policy ambitions as campus/service-role mention.
PC-P01 · Penn · Class of 2030; fall entry 2026 · Core · publisher-reported
How To Write UPenn's Supplemental Essays For 2025/26 — Crimson Education. Eligible answers: 1.
Date basis: Publisher explicitly identifies the student as admitted to Penn Class of 2030, rather than relying on the page date.
Outcome basis: Publisher states both examples are real responses from one of its students admitted to Penn Class of 2030.
Qualification: Consultancy-reported outcome; admissions file, acceptance letter and submitted-text identity not independently authenticated. Thank-you essay excluded from thematic coding.
PC-P02 · Penn · Reported application cycle 2025/2026 · Essay-library label · unverified
Bridging Hawassa and Penn: Building Community Through Mentorship, Service, and Shared Experience — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2025/2026. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P03 · Penn · Reported application cycle 2024/2025 · Essay-library label · unverified
Championing Ubudehe: Embracing Community at Penn — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2024/2025. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P04 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Fostering Allyship Through the Arts: My Vision for Community at Penn — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P05 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Embracing Community: My Journey at Penn — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P06 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Embracing Discipline and Curiosity: Navigating Community at Penn — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P07 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Exploring Molecular Biology and Genomic Research Opportunities in Arts and Sciences — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication. Minor displayed word-count excess flagged; could reflect counting convention or displayed/submitted variation. See wordcount_audit.
PC-P08 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Building Community Through Service: My Journey at Penn and Beyond — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P09 · Penn · Reported application cycle 2024/2025 · Essay-library label · unverified
Exploring Environmental Sustainability and Inclusive Culture at UPenn — Clastify. Eligible answers: 1.
Date basis: Public package field applicationYear=2024/2025. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P10 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Diving into Community: The Pennovation Center and Beyond — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P11 · Penn · Reported application cycle 2024/2025 · Essay-library label · unverified
Bridging Communities: Service and Responsibility at Penn — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2024/2025. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication.
PC-P12 · Penn · Reported application cycle 2023/2024 · Essay-library label · unverified
Exploring Community at Penn: Balancing Liberal Arts and Practical Learning — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. Treated as a platform-reported cycle, not independently verified matriculation.
Outcome basis: Public package and essay metadata label isAccepted=true. No acceptance document verified.
Qualification: Open package: premium=false, isDisplayed=true. Reported acceptance and cycle unverified. Distinct package count does not establish unique students. No confirming older textual match found in bounded provenance queries; absence of a match is not authentication. Minor displayed word-count excess flagged; could reflect counting convention or displayed/submitted variation. See wordcount_audit.
PC-C01 · Cornell · Reported application cycle 2024/2025 · Essay-library label · unverified
Shaped by Purpose: My Journey in a Purposeful Community — Clastify. Eligible answers: 1.
Date basis: Public package field applicationYear=2024/2025. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication.
PC-C02 · Cornell · Reported application cycle 2024/2025 · Essay-library label · unverified
Exploring Biomimicry and Graphene: A Path to Innovation at Cornell Engineering — Clastify. Eligible answers: 3.
Date basis: Public package field applicationYear=2024/2025. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication. Contribution/service is positive because the why-Cornell answer proposes using graphene to create more effective solar panels in the Sustainable Design Club, a concrete prospective campus-organization project; neither general societal-benefit language nor the notebook response alone supplies this code.
PC-C03 · Cornell · Reported application cycle 2023/2024 · Essay-library label · unverified
Embracing Diversity: My Journey to Cornell — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2023/2024. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication.
PC-C04 · Cornell · Reported application cycle 2025/2026 · Essay-library label · unverified
From Cherry Farm to the Dyson School: An Entrepreneurial Path Linking Agribusiness, Economics Education Access, and Social Impact — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2025/2026. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication.
PC-C05 · Cornell · Reported application cycle 2024/2025 · Essay-library label · unverified
Unleashing the Power of Material Science in Engineering — Clastify. Eligible answers: 3.
Date basis: Public package field applicationYear=2024/2025. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication.
PC-C06 · Cornell · Reported application cycle 2024/2025 · Essay-library label · unverified
Navigating Economic Systems: My Path to Applied Economics and Management at Cornell CALS — Clastify. Eligible answers: 2.
Date basis: Public package field applicationYear=2024/2025. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication. The named Smart Markets & Sustainable Business Initiative could not be independently matched to an official Cornell program; preserve the wording as the essay claim, not an endorsed opportunity.
PC-C07 · Cornell · Reported application cycle 2024/2025 · Essay-library label · unverified
Unveiling the Intersection of Mathematics and Engineering — Clastify. Eligible answers: 3.
Date basis: Public package field applicationYear=2024/2025. This is a platform-reported cycle, not independently verified entry year.
Outcome basis: Public package metadata labels isAccepted=true; no admission document verified.
Qualification: Free public package with platform-reported acceptance and cycle; no outcome document or submitted-text identity verified. Distinct package count does not prove distinct students. No earlier matching text identified in bounded provenance queries; absence is not authentication. Several personal identifiers are replaced by x; these are treated as redactions rather than evidence of a completed submitted version.
Evidence checks and sensitivity notes
The main tables retain the Dartmouth bullet-list account with its format qualification and retain Brown's publisher example within the three-year window despite conflicting Class of 2029/2030 labels. Neither supplies a precise year trend. Known old republications and material word-limit conflicts were excluded from the library extension; small counting differences caused by punctuation are recorded as qualifications.
The complete source data and codebook identify which answers were retained. Cross-school records may belong to the same person: an apparent Brown/Yale match is documented in the audit. All totals therefore refer to application-associated records.
Sources and reference links
Sources were checked for this publication on November 11, 2026. Links lead to original publishers. Student and publisher outcome claims remain labeled in the record register. Current university pages provide present-day context; they do not authenticate historical submission files.
- Yale application updatehttps://admissions.yale.edu/posts/2026-08-17-application-update-2026-2027
- Source: Crimson Brown exampleshttps://www.crimsoneducation.org/us/how-to-get-into/brown-university/supplemental-essays
- Source register: Brown public packageshttps://www.clastify.com/supplement/brown-university
- Math/music packagehttps://www.clastify.com/supplement/brown-university/661f1284cd4288a76f56f058
- coral-restoration packagehttps://www.clastify.com/supplement/brown-university/667736ff8a72c8a2c53d571a
- mathematics/art packagehttps://www.clastify.com/supplement/brown-university/68223b27d84d23dec7f5ff3c
- Source: Brown's Open Curriculumhttps://www.brown.edu/academics/undergraduate/open-curriculum
- Source: Brown Independent Concentrationhttps://www.brown.edu/undergraduateconcentrations/independent-concentration
- Source: Annenberg Undergraduate Research Fellowshttps://annenberg.brown.edu/work/initiatives/undergrad-research-fellows-sspp
- Source: Brown Advanced Undergraduate Research Fellowshipshttps://college.brown.edu/learn-beyond-classroom/fellowships-research-funding/undergraduate-research-funding/advanced
- Historical prompt reporting: The Brown Daily Heraldhttps://www.browndailyherald.com/article/2023/08/brown-announces-new-background-essay-very-short-answer-section-in-undergraduate-application
- Source: Brown current application questionshttps://admission.brown.edu/apply/how-apply
- Source: Crimson Columbia exampleshttps://www.crimsoneducation.org/us/how-to-get-into/columbia-university/supplemental-essays
- Source: Columbia Department of Philosophy, Gadflyhttps://philosophy.columbia.edu/content/gadfly
- Source register: Columbia public packageshttps://www.clastify.com/supplement/columbia-university
- Computing packagehttps://www.clastify.com/supplement/columbia-university/67fe7d84812e8871fdc55ab0
- neural-interface packagehttps://www.clastify.com/supplement/columbia-university/68297212ac0d03f8140d49b8
- mechanical-engineering packagehttps://www.clastify.com/supplement/columbia-university/6836febb6b656008624fbc6c
- Source: Columbia College Core Curriculumhttps://bulletin.columbia.edu/columbia-college/core-curriculum/
- Source: Columbia Engineering undergraduate advisinghttps://www.engineering.columbia.edu/academics/academic-resources/undergraduate-advising
- Policy/civic packagehttps://www.clastify.com/supplement/columbia-university/6678c4984ac018ef29b148a5
- infrastructure packagehttps://www.clastify.com/supplement/columbia-university/682669c7ac0d03f81479f451
- Source: Columbia Undergraduate Research Opportunitieshttps://research.columbia.edu/UROP
- Current official questions URL; retrieval was blocked during this audithttps://undergrad.admissions.columbia.edu/apply/process/columbia-questions
- Engineering examplehttps://www.clastify.com/supplement/cornell-university/683121d9ac0d03f8141aa75d
- entrepreneurship examplehttps://www.clastify.com/supplement/cornell-university/6a3c7be6cc8fa133a24bdbb2
- Food-recovery examplehttps://www.clastify.com/supplement/cornell-university/68b7e90dfda610f4d9d9c176
- biomaterials examplehttps://www.clastify.com/supplement/cornell-university/686d78b218284845379e58ab
- science-and-languages examplehttps://www.clastify.com/supplement/cornell-university/66713c8d62a05a941533d97d
- Source: Cornell’s fall 2027 writing requirementshttps://faq.enrollment.cornell.edu/kb/article/479-what-are-the-essay-questions-for-the-fall-2027-application/
- Source: Cornell CALS admissionshttps://admissions.cornell.edu/first-year-cals-applicants
- Source: Cornell Duffield Engineering admissionshttps://admissions.cornell.edu/first-year-duffield-engineering-applicants
- Source: Cornell Arts and Sciences curriculumhttps://as.cornell.edu/education/curriculum
- Essay sourcehttps://www.clastify.com/supplement/cornell-university/6826689dac0d03f81479d21f
- official SMART programhttps://business.cornell.edu/dyson/smart/
- Source: computing and collaboration examplehttps://www.clastify.com/supplement/cornell-university/682241cdd84d23dec7fad6cf
- Source: PrepMavenhttps://prepmaven.com/blog/applying/cornell-supplemental-essays/
- Mario Lopezhttps://admissions.dartmouth.edu/follow/blog/mario-lopez/reflecting-my-why-dartmouth
- Tess Hunterhttps://admissions.dartmouth.edu/follow/blog/tess-hunter/short-why-dartmouth-100-words
- Sarah Hedgecockhttps://admissions.dartmouth.edu/follow/blog/sarah-hedgecock/reflecting-my-why-dartmouth-essay
- Crimson examplehttps://www.crimsoneducation.org/ap/how-to-get-into/dartmouth-college/supplemental-essays
- Source: Dartmouth writing supplementhttps://admissions.dartmouth.edu/glossary-term/writing-supplement
- Source register: Dartmouth public packageshttps://www.clastify.com/supplement/dartmouth-college
- Biomedical packagehttps://www.clastify.com/supplement/dartmouth-college/661e505d80849d552d92c037
- quantitative packagehttps://www.clastify.com/supplement/dartmouth-college/6842ea88c61be41ea89aa36a
- computing packagehttps://www.clastify.com/supplement/dartmouth-college/6835ef346b6560086213c0cb
- mathematics packagehttps://www.clastify.com/supplement/dartmouth-college/6622d5dacd4288a76fb8a296
- Source: Dartmouth D-Plan term guidehttps://undergraduate-deans.dartmouth.edu/students/academic-advising/d-plan/term-term-how-guide
- Source: Dartmouth Outing Club tripshttps://outdoors.dartmouth.edu/dartmouth-outing-club/go-trip
- Source: Dartmouth First-Year Fellowshttps://rockefeller.dartmouth.edu/leadership/first-year-fellows-program
- Source: Dartmouth's 2026 admissions announcementhttps://home.dartmouth.edu/news/2026/03/applications-rise-2-second-largest-pool-college-history
- Example of an older-cohort retrospectivehttps://admissions.dartmouth.edu/follow/blog/caroline-york/revisiting-my-why-dartmouth-essay
- H01: submitted-answer readinghttps://www.youtube.com/watch?v=C7nUFa91xmc
- H02: submitted-answer readinghttps://www.youtube.com/watch?v=PH3W9TT6BFw
- Cohort corroborationhttps://harvardnsa.org/about/
- University affiliationhttps://weiszlab.fas.harvard.edu/people/iyanu-shonukan
- Harvard application requirementshttps://college.harvard.edu/admissions/apply/application-requirements
- Bioengineering courseshttps://seas.harvard.edu/bioengineering/courses
- Patrick Sladehttps://kempnerinstitute.harvard.edu/people/our-people/patrick-slade/
- Harvard arts opportunitieshttps://ofa.fas.harvard.edu/undergraduates
- H03: publisher-reported examplehttps://www.crimsoneducation.org/us/how-to-get-into/harvard-university/supplemental-essays
- Contemporary Harvard admissions-dean interviewhttps://www.thecrimson.com/article/2023/12/16/harvard-admissions-dean-interview/
- Current application guidancehttps://college.harvard.edu/guides/application-tips
- Source: Crimson Educationhttps://www.crimsoneducation.org/us/how-to-get-into/university-of-pennsylvania/supplemental-essays
- Tutoring and political-economy examplehttps://www.clastify.com/supplement/upenn/6678c4e44ac018ef29b15396
- arts-access examplehttps://www.clastify.com/supplement/upenn/66449e24776af62d588acb7d
- Source: Penn Civic Househttps://civichouse.upenn.edu/students/
- Source: Penn Admissionshttps://admissions.upenn.edu/how-to-apply/preparing-your-application/writing
- Environmental and classical studies examplehttps://www.clastify.com/supplement/upenn/67e84039e10657c02b66dc29
- music and public-events examplehttps://www.clastify.com/supplement/upenn/661f0f2ecd4288a76f55ef6f
- Source: Penn Undergraduate Research Mentoring Programhttps://curf.upenn.edu/content/penn-undergraduate-research-mentoring-program-purm
- Recent platform listinghttps://www.clastify.com/supplement/upenn/68544196c61be41ea88cafc6
- earlier CollegeAdvisor collectionhttps://www.collegeadvisor.com/essay-guides/university-of-pennsylvania-essay-examples-and-why-they-worked/
- P01: submitted-answer readinghttps://www.youtube.com/watch?v=OGHGxPwnbsk
- P02: publisher-reported casehttps://www.crimsoneducation.org/us/how-to-get-into/princeton-university/supplemental-essays
- Princeton-specific questionshttps://admission.princeton.edu/apply/princeton-specific-questions
- Ramaswami’s teachinghttps://ramaswami.princeton.edu/education
- University faculty pagehttps://cee.princeton.edu/people/anu-ramaswami
- Princeton application checklisthttps://admission.princeton.edu/apply/application-checklist
- Princeton helpful tipshttps://admission.princeton.edu/apply/before-you-apply/helpful-tips
- Y02: submitted-answer readinghttps://www.youtube.com/watch?v=BOAcDYqS-Ps
- Y01: submitted-answer readingshttps://www.youtube.com/watch?v=jaZ6lp_casg
- Y03: submitted-answer readinghttps://www.youtube.com/watch?v=FGvr6r73Vfw
- Current Yale essay topicshttps://admissions.yale.edu/essay-topics
- Yale residential collegeshttps://admissions.yale.edu/residential-colleges
- Cornell virtual visithttps://admissions.cornell.edu/virtual-visit
- Alvero and colleagueshttps://pmc.ncbi.nlm.nih.gov/articles/PMC8514086/
- Brown admission-process FAQhttps://admission.brown.edu/ask/admission-process
- Cornell demonstrated-interest FAQhttps://faq.enrollment.cornell.edu/kb/article/348-does-cornell-give-preference-to-applicants-who-have-demonstrated-their-interest-by-calling-emailing-or-visiting-the-university/
- PRISMA scoping-review guidancehttps://www.prisma-statement.org/scoping
- Embracing Tradition, Embracing Change: My Journey from South India to Brownhttps://www.clastify.com/supplement/brown-university/68872be475fd7ee6016336be
- Exploring the Intersection of Computer Engineering and Language at Brownhttps://www.clastify.com/supplement/brown-university/6825dca8ac0d03f81425e9ad
- Forging Community Through Love and Carehttps://www.clastify.com/supplement/brown-university/68297054ac0d03f8140ce64f
- Creating a Specialized Study: Navigating the Intersection of STEM, Sociology, and Theater at Brownhttps://www.clastify.com/supplement/brown-university/6678b2c54ac018ef29ae7165
- Crafting a Path: Exploring Neuroengineering at Brownhttps://www.clastify.com/supplement/brown-university/664681fd7272d4425f993f1b
- Interdisciplinary Portable MRI Innovation at Columbia: From MR SCIENCE Lab to BiomedXhttps://www.clastify.com/supplement/columbia-university/6a192bf50aef0221c7e61b9a
- Embracing Diversity: A Journey of Language and Inclusionhttps://www.clastify.com/supplement/columbia-university/68bc5bbbcb8dccc3bd6ea942
- Empowering Youth Through Music and Education: My Vision for Columbia's Inclusive Communityhttps://www.clastify.com/supplement/columbia-university/6621950fcd4288a76f508092
- Advocating for Women's Rights: A Perspective on Unity and Collaborationhttps://www.clastify.com/supplement/columbia-university/661e4e7380849d552d91d4f3
- Creative Problem-Solving: Navigating Perspectives from Post-Communist Slovakia to Columbiahttps://www.clastify.com/supplement/columbia-university/67f3243d61a939b307e63d08
- Embracing Columbia's Dynamic Culturehttps://www.clastify.com/supplement/columbia-university/67e8348de10657c02b6367b9
- Unveiling the Molecular Mysteries: Pursuing Biology at Columbia Collegehttps://www.clastify.com/supplement/columbia-university/667879a64ac018ef29a58977
- Bridging Hawassa and Penn: Building Community Through Mentorship, Service, and Shared Experiencehttps://www.clastify.com/supplement/upenn/6a5a8174042ab4f0ca4aa3ea
- Championing Ubudehe: Embracing Community at Pennhttps://www.clastify.com/supplement/upenn/68b4329cac82fa5a4872210d
- Exploring Molecular Biology and Genomic Research Opportunities in Arts and Scienceshttps://www.clastify.com/supplement/upenn/667879e64ac018ef29a593ef
- Exploring Environmental Sustainability and Inclusive Culture at UPennhttps://www.clastify.com/supplement/upenn/68b1c04f859d19f0966b3274
- Diving into Community: The Pennovation Center and Beyondhttps://www.clastify.com/supplement/upenn/6689b0684a9db8886c6f6d2f
- Bridging Communities: Service and Responsibility at Pennhttps://www.clastify.com/supplement/upenn/6837b0ef86d8268506c143d5
- Exploring Community at Penn: Balancing Liberal Arts and Practical Learninghttps://www.clastify.com/supplement/upenn/6678b0e84ac018ef29ae27cb
