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Stanford University engagement report

@Stanford - 1.0M followers on X

Measured over 19 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.024%
of 1.0M followers
Per impression
1.47%
17K views on a typical post
Reach
1.66%
of its followers see a post
Typical post
253
interactions (median)
Saved
0.145%
25 bookmarks on a typical post
Posting rate
0.73/day
active 30% of days
Peak time
22:00 UTC
Monday

A typical post picks up 253 interactions against 1.0M followers, an engagement rate of 0.024%. Measured over 19 original posts, its engagement rate beats 47% 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 17K times each, and 1.47% of those impressions turn into an interaction. That is about 1.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 32% carry an image or video and 68% link out. The account's strongest tracked post pulled 43K interactions, about 169x its own typical post. Recurring topics include #nobelprize, #researchmatters.

Measured over 19 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #nobelprize, #researchmatters.

Compared with accounts its own size

Stanford University's engagement rate beats 47% 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 58% 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 0.024%, Stanford 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%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 22:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video32% of posts+111%+108% to +115%34K
Outbound link68% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 32% 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.
  • 68% 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 324 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 5, 2026169x their median

    The most important briefings of the day. Karl Deisseroth, professor of bioengineering and of psychiatry and behavioral sciences, shares the news of his Nobel Prize with his kids. https://t.co/pTzP1A3pHj

    37K4.7K5309354.6M viewsView on X
  • Oct 5, 202628x their median

    Congratulations to Karl Deisseroth, winner of the 2026 Nobel Prize in physiology or medicine. The @StanfordMed & @StanfordEng professor of bioengineering and of psychiatry and behavioral sciences is a pioneering developer of optogenetics, a technique that uses light to control the behavior of cells.

    6.2K8098459161K viewsView on X
  • Oct 7, 202615x their median

    On Tuesday, the entire Stanford Bioengineering community gathered at the Shriram Center to celebrate Karl Deisseroth, winner of the 2026 Nobel Prize in physiology or medicine, before he headed off to teach his undergraduate class: "Principles and Practice of Optogenetics for Optical Control of Biological Tissues." “We love you. We love your work,” said fellow faculty member Russ Altman, who’s known the laureate since 1992. “Wisdom, devotion to your work, seriousness of purpose, sense of humor, and then your status as a father, husband, physician. What a model.”

    3.2K4595846154K viewsView on X
  • Jun 15, 202615x their median

    “You have thousands of moments ahead of you. The important thing isn’t to get them all right; it’s to find a way to keep moving forward.” Sundar Pichai, MS ’95, CEO of Google and Alphabet, addressed the Class of 2026 at Stanford’s 135th Commencement ceremony. Watch the full speech at the link: https://t.co/3OFNRonqeH

    2.9K6288358566K viewsView on X
  • Apr 2, 20264.7x their median

    Sundar Pichai (@sundarpichai), CEO of @Google and Alphabet Inc. and a Stanford alum, will return to the Farm to deliver Stanford’s 135th Commencement address. 🗞️: https://t.co/dNS5maVhIw https://t.co/riLX0P9wSv

    3.0K1744616455K viewsView on X
  • Oct 5, 20268.9x their median

    Karl Deisseroth’s first day as a Nobel laureate 📷 The Stanford professor won the Nobel Prize in physiology or medicine for discoveries leading to optogenetics. His next move? Getting back to work. “We have a lot of things still to discover, and a lot of people to help.” https://t.co/hf58HT1pR6

    2.0K187302354K viewsView on X
  • Oct 12, 20265.0x their median

    Robert E. Hall, professor of economics and senior fellow at the @HooverInst, emeritus, celebrated with his sons Jonathan and Andy on campus after winning the 2026 Nobel Memorial Prize in Economic Sciences. “This is a wonderful surprise,” he wrote in a statement earlier Monday. “I’ve spent my career trying to understand how the economy works, following interesting questions wherever they led. When I thought I had a new idea, the next step was to find out whether it was actually new, whether it was right, and whether it mattered. I’ve been fortunate to have extraordinary colleagues and coauthors to help me sort that out, and working with them has been the greatest pleasure of my career. Stanford’s Economics Department and the Hoover Institution gave me a dream job: the freedom and time to do the research I wanted to do. The taxpayers of California gave me an excellent education in the public schools and at @UCBerkeley, and the federal government paid for my graduate education at @MIT. I hope they will regard this as a satisfactory return on their investment. I thank my family, especially my wonderful wife and coauthor, Susan, and congratulate Michael Woodford, whose work has taught me a great deal.”

    1.1K162361454K viewsView on X
  • Oct 12, 20263.5x their median

    Congratulations to Robert E. Hall, winner of the 2026 Nobel Memorial Prize in Economic Sciences. The professor emeritus of economics and @HooverInst senior fellow emeritus shares the prize with Michael Woodford for developing macroeconomic models built on how households and businesses actually make decisions. Those models have helped governments and central banks time their policies to soften economic shocks. 📸: Patrick Beaudouin

    755119101440K viewsView on X
  • Mar 11, 2026

    Stanford researchers have launched a privacy-focused, open-source platform to study how digital interactions affect physical and mental health. https://t.co/FcZJxr7NbW

    55112925776K viewsView on X
  • Oct 5, 20262.7x their median

    Karl Deisseroth awarded 2026 Nobel Prize in physiology or medicine 🔬 The professor of bioengineering and of psychiatry and behavioral sciences shares the prize with two other researchers for their work in optogenetics. https://t.co/XFv5OWasPi

    55787171241K viewsView on X

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

#nobelprize#researchmatters

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 253 interactions against 1.0M followers, an engagement rate of 0.024%. Measured over 19 original posts, its engagement rate beats 47% 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 17K times each, and 1.47% of those impressions turn into an interaction. That is about 1.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 32% carry an image or video and 68% link out. The account's strongest tracked post pulled 43K interactions, about 169x its own typical post. Recurring topics include #nobelprize, #researchmatters.

What is Stanford University's engagement rate on X?
Stanford University (@Stanford) has an engagement rate of 0.024%, based on the median interactions across 19 original posts from the last 30 days against 1,039,825 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.024%, Stanford 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 @Stanford have real engagement?
Its engagement rate beats 47% 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 @Stanford post?
Most posts go out around 22:00 UTC, and Monday is its busiest day, at roughly 0.73 posts per day across the measured window.

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