Princeton University engagement report
@Princeton - 561K followers on X
Measured over 31 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 53 interactions against 561K followers, an engagement rate of 0.009%. Measured over 31 original posts, its engagement rate beats 33% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 7.4K times each, and 0.715% of those impressions turn into an interaction. That is about 1.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 31 posts sampled, 65% carry an image or video and 90% link out. The account's strongest tracked post pulled 352 interactions, about 6.6x its own typical post.
Measured over 31 original posts from a 30-day window, last computed on October 13, 2026. Recurring tag: #nobelprize.
Compared with accounts its own size
Princeton University's engagement rate beats 33% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 39% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.009%, Princeton University sits above the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 13:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 65% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 90% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 65% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 90% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 494 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Oct 8, 20266.6x their median
Congrats to Anne Carson who has been awarded the 2026 #NobelPrize in Literature "for her bold and inventive oeuvre that, in playful dialogue with the classical tradition, has created new forms for contemporary literature." Carson taught at Princeton University in the 1980s and was recently on campus to deliver the 2025 Fagles Lecture. Her presentation, titled "Beware the man whose handwriting sways like a reed in the wind," mixed memoir, classical translation, art criticism, boxing exhibition, and performance art in a personal meditation on life and death in the wake of her diagnosis with Parkinson's disease. Like previous Fagles Lecturers, Carson taught a special session of the undergraduate Humanities Sequence course "Interdisciplinary Approaches to Western Culture," whose students read Carson's Sappho translations, If Not, Winter (2002) as part of their syllabus. Carson's lesson plan involved dividing class attendees into small groups of three or four and asking them to leave the classroom for ten minutes spent in search of a "border," physical or otherwise, they could then "redefine." Read more about her recent visit: https://t.co/gqWBAlRT8R
- Sep 29, 20266.2x their median
Princeton professors Ellora Derenoncourt (@EDerenoncourt) and Elizabeth Ellis have been awarded 2026 MacArthur Fellowships, known informally as MacArthur "genius" grants: https://t.co/BdIGNhTiXW The fellowships recognize individuals who have demonstrated "exceptional originality in and dedication to their creative pursuits,” according to @macfound. Princeton graduate alum Kaiyu Guan *13, now the Stuart L. and Nancy J. Levenick Professor at the University of Illinois-Urbana-Champaign, has also been named a 2026 #MacFellow.
- Aug 17, 20263.3x their median
"He was brilliant from the beginning. Even as a graduate student, without experience ... he was very good at getting at the essence of the thing, picking up what matters in a problem." — Princeton professor Alexandru Ionescu on 2026 Fields Medalist Yu Deng *15 https://t.co/w59gY1ygh6
- Aug 30, 20263.3x their median
"At Princeton, we want your education to equip you not only to succeed at your first jobs, but also to become leaders many years from now in a world far different from the one we now inhabit. Liberal arts universities like Princeton are based on the idea that you should learn both deeply and broadly, so that you will acquire not just knowledge but, more fundamentally, multiple ways of knowing that will enable you to discover, attack, and conquer questions that nobody has yet answered or even asked." — President Eisgruber at Opening Exercises for the Class of 2030 Read his full address: https://t.co/K5MmnGSMFc
- Sep 24, 20263.0x their median
A new paper from Princeton and @UCBerkeley introduced TANGO, an artificial intelligence vision-language robot navigation framework that could improve robot navigation in unpredictable real-world settings: https://t.co/ocNNmQGco1 https://t.co/fpaA9Fs0xs
- Sep 23, 20262.7x their median
Justice Musser grew up in Damascus, a small town in Southwest Virginia with a population of approximately 780 residents. Known as “Trail Town USA” for its Seven Trails, Damascus is home to the well-known "Creeper Trail." In 2018, Justice moved to Bristol, Tennessee, where he attended Tennessee High School and played on the football team. He was then recruited to play for @PrincetonFTBL. While Justice was attending Princeton, his hometown endured devastating flooding caused by Hurricane Helene, which made landfall in September 2022. "Seeing bridges being wiped out, the trail being erased from the side of the mountains, it was honestly heartbreaking,” he said. In July 2025, Justice founded The Ironwood Foundation with the goal of rebuilding the Creeper Trail and revitalizing Appalachia. His passion for his hometown region is deeply ingrained. "Coal miners are in my family and this theme of being resilient, this theme of hard work and having a strong work ethic runs deep within our veins. [My great-grandmother’s] strength and her positivity was something that I will always carry with me throughout my life, and I think that sort of ties back into my love for the area." Justice graduated from Princeton in 2026 with a bachelor of arts in anthropology and a minor in entrepreneurship. He currently attends Indiana State University with plans to attend law school and eventually move back to the Appalachia region to continue to give back to his community. Stand up for students like Justice who are using their college education in service to others: https://t.co/r2WojJOGvE
- Oct 1, 20262.6x their median
"Going home from Princeton to our small farm on Great Barrier Island off the coast of New Zealand takes 24 hours and highlights how different my two worlds are, yet both places hold deep meaning for me. My primary school had 25 kids, and along with New Zealand’s core requirements the curriculum included learning about the Māori Indigenous culture and language (my mum is Māori), which was very special. At home, we were taught to be resourceful. If our water came out of the tap brown, we walked into the bush to find the leak. My first physics lesson was helping my dad test and repair an electric fence. When one of our dogs broke its leg, we called a vet on the mainland who taught us how to bandage and care for it over a video call. At 13, I carried this sense of independence when I went off island to boarding school as there are no high schools where I live. When I researched colleges, I realized Princeton wasn’t just somewhere I wanted to be, it was where I felt I had to be. I’m a pre-med neuroscience major — I became interested in neuroscience when my grandad had a stroke — and last summer, I had the amazing opportunity to do research at Children’s National. Something I love about Princeton is having to take a wide range of classes. Some of my most meaningful academic experiences have been in the humanities. This fall, ‘An Introduction to the History of Art: Meanings in the Visual Arts’ has encouraged me to look more closely at and search for deeper meaning in the things I see every day and in different forms of art. Engaging in class discussions with peers from a wide range of backgrounds in the religion course ‘Biomedical Ethics’ challenged me to consider ideas and experiences beyond my own. My Spanish courses, including ‘Medical Spanish,’ led to an internship shadowing in hospitals in Ecuador. Through rowing on the women’s varsity team I’ve learned perhaps my biggest life lesson: how to be truly present in every moment — on the water, in the classroom, with friends. While at Princeton, my appreciation of my home has only grown and at the same time, it has opened my eyes to a world of possibilities." — Jess Mabey '27
- Sep 24, 20262.6x their median
Princeton has established a new academic unit, Data and Intelligent Systems (DaIS), to help accelerate the pace of discovery in artificial intelligence and data science and to support transformative research and teaching across disciplines. As part of the University’s robust AI ecosystem, the nimble, interdisciplinary initiative builds on the deep links between AI and data science at Princeton while creating space for continued rapid progress in each of the fields. Read the full announcement: https://t.co/1f7u0GTDPo
- Sep 21, 20262.5x their median
Princeton researchers have cleared a major hurdle toward the advent of practical quantum computing by developing a new kind of superconducting qubit that improves quantum coherence time by 15 times that of industry standards. The new qubit design is similar to those already used by leading companies like Google and IBM, and could easily be slotted into existing processors, according to the researchers. Read the full story: https://t.co/OjGvTPR6RZ
- Oct 6, 20262.5x their median
The @NSF has announced that Princeton University will lead one of eight major initiatives to accelerate the development of quantum computing. https://t.co/iacRVUt3Y1 The Princeton-led Quantum Leap Challenge Institute will devise techniques for fabricating hardware and develop education and workforce training programs that deepen U.S. leadership in quantum science and engineering. The research institute will gather experts from wide-ranging fields to break a single, critical bottleneck — the manufacture of core components for quantum processors. "The whole community has been using essentially the same materials technology for about a quarter century," said Nathalie de Leon, co-director of the Princeton Quantum Initiative, who will direct the new institute. That technology has worked well for experimental prototypes and small-scale systems. But to build quantum computers at a scientifically useful scale, she said, the most basic elements must be reinvented.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 53 interactions against 561K followers, an engagement rate of 0.009%. Measured over 31 original posts, its engagement rate beats 33% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 7.4K times each, and 0.715% of those impressions turn into an interaction. That is about 1.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 31 posts sampled, 65% carry an image or video and 90% link out. The account's strongest tracked post pulled 352 interactions, about 6.6x its own typical post.
- What is Princeton University's engagement rate on X?
- Princeton University (@Princeton) has an engagement rate of 0.009%, based on the median interactions across 31 original posts from the last 30 days against 561,319 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.009%, Princeton University sits above the 10th percentile of the 204,694 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @Princeton have real engagement?
- Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @Princeton post?
- Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.6 posts per day across the measured window.