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Massachusetts Institute of Technology (MIT) engagement report

@MIT - 1.4M followers on X

Measured over 15 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.013%
of 1.4M followers
Per impression
1.01%
17K views on a typical post
Reach
1.25%
of its followers see a post
Typical post
175
interactions (median)
Saved
0.139%
24 bookmarks on a typical post
Posting rate
0.57/day
active 53% of days
Peak time
13:00 UTC
Friday

A typical post picks up 175 interactions against 1.4M followers, an engagement rate of 0.013%. Posts are seen about 17K times each, and 1.01% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 100% link out. The account's strongest tracked post pulled 4.7K interactions, about 25x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on October 25, 2026.

Where this sits in the catalog

At 0.013%, Massachusetts Institute of Technology (MIT) sits above the 10th percentile of the 204,424 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 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 13:00 UTC, and Friday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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.
  • 100% 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 246 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Jun 20, 202625x their median

    The Tartan Army made their mark on campus before leaving Massachusetts. Thanks for the visit and the reminder that you stopped by MIT. We hope you enjoyed your time in Cambridge! https://t.co/fd1zRSFWhr

    4.4K329181353K viewsView on X
  • Sep 24, 202615x their median

    Did you know the original Claude — the chatbot’s namesake, according to Anthropic lore — was a renowned MIT professor? Claude Shannon SM ’40, PhD ’40, who taught at MIT from 1956 until his retirement in 1978, was known to many as the father of information theory and of modern digital communications.

    2.1K389523683K viewsView on X
  • Oct 21, 20265.5x their median

    MIT announces the MIT for America initiative. The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI. https://t.co/AN1wVtHuIb

    763160281548K viewsView on X
  • Sep 12, 20264.1x their median

    In remembrance of the September 11 attacks, 25 years later. https://t.co/jC56RwjXci

    6485421243K viewsView on X
  • Aug 24, 20263.4x their median

    MIT researchers have engineered bacteria that can function as transistors, allowing them to create “living circuit boards” like those in the image. https://t.co/zQUXBesJTx

    444101292443K viewsView on X
  • Sep 22, 20263.2x their median

    A new study from MIT researchers could help to enable next-generation lidar sensors that are compact, durable, and have no moving parts. The key advance is a novel design for a silicon-photonics chip, which is a semiconductor device that manipulates light rather than electricity. https://t.co/QqZzOzKysS

    425112151029K viewsView on X
  • Oct 14, 20262.8x their median

    MIT engineers have developed a new way to program natural killer (NK) immune cells to target cancerous T cells or T cells that have become autoreactive, leading to diseases such as lymphoma and autoimmune hepatitis. https://t.co/ZCuPxA1OFT

    38888101223K viewsView on X
  • Oct 12, 20262.4x their median

    Economists Robert E. Hall PhD ’67 and Michael Woodford PhD ’83 share Nobel prize: The MIT alumni are honored for work that illuminates how government policy can spur growth in response to economic downturns. https://t.co/QLF6cP7cAj

    3287313322K viewsView on X
  • Aug 18, 20262.4x their median

    MIT researchers discovered a paradoxical phenomenon in optical physics that could enable a new bioimaging method that’s faster and higher-resolution than existing technology. https://t.co/28yIRObdHK

    3336611631K viewsView on X
  • Aug 31, 20262.4x their median

    A former MIT class project is becoming an $850 million effort to manufacture a new kind of aircraft in Ohio. https://t.co/odgedKUxhZ

    31862201236K 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.

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Reading these numbers

A typical post picks up 175 interactions against 1.4M followers, an engagement rate of 0.013%. Posts are seen about 17K times each, and 1.01% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 100% link out. The account's strongest tracked post pulled 4.7K interactions, about 25x its own typical post.

What is Massachusetts Institute of Technology (MIT)'s engagement rate on X?
Massachusetts Institute of Technology (MIT) (@MIT) has an engagement rate of 0.013%, based on the median interactions across 15 original posts from the last 30 days against 1,378,988 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Massachusetts Institute of Technology (MIT) sits above the 10th percentile of the 204,424 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 @MIT have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @MIT post?
Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 0.57 posts per day across the measured window.

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