MIT Media Lab engagement report
@medialab - 451K followers on X
Measured over 9 original posts from a 30-day window, last computed on October 28, 2026.
Engagement
A typical post picks up 25 interactions against 451K followers, an engagement rate of 0.005%. Measured over 9 original posts, its engagement rate beats 26% of 21,185 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 4.3K times each, and 0.582% of those impressions turn into an interaction. That is about 0.954% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 11% are part of a thread and 100% link out. The account's strongest tracked post pulled 7.5K interactions, about 299x its own typical post.
Measured over 9 original posts from a 30-day window, last computed on October 28, 2026.
Compared with accounts its own size
MIT Media Lab's engagement rate beats 26% of the tracked X accounts closest to it in follower count (21,185 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 34% 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 0.005%, MIT Media Lab sits above the 10th percentile of the 212,656 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 18:00 UTC, and Wednesday 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 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 477 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
- Sep 16, 2026299x their median
Dün gece New York Moda Haftası’nın podyumunda yürürken, omuzlarımda yalnızca bir kıyafeti değil; kadınların yüzyıllara uzanan hafızasını, emeğini, direnişini ve cesaretini taşıdım. https://t.co/ZU4pXMRMlY
- Aug 18, 202616x their median
1/ How are people really using AI? Today, researchers across @MIT, @Stanford, + 12 academic institutions are launching the Public AI Observatory: public infrastructure for measuring how people actually use AI assistants in the wild. 🔗 https://t.co/KwGPEW810d 📜 https://t.co/8bjCGyHF43
- Sep 4, 202613x their median
In 1979, MIT researchers said "put that there" to a computer, and it listened. Yesterday, OpenAI launched GPT-6 Astra, the most powerful AI model ever built, opening with 47-year-old footage from our Media Room to show exactly where the idea came from. The premise that Richard Bolt, Chris Schmandt, and Eric Hulteen proved nearly five decades ago still holds: machines should adapt to human language, not the other way around. The best ideas don't expire...they compound. READ THE STORY: https://t.co/OUuxaGJzfq
- Sep 10, 202612x their median
Researchers in @NCB_MIT, led by @deblinasarkar59, have developed injectable nanoantennas that can be magnetically activated to create localized electric fields that target and destroy glioblastoma cells without damaging healthy brain tissue. Published in @ScienceAdvances, the technology — named HITMAN (highly-localized electric-field-induced tumor therapy using magnetically actuated nanoantennas) — eliminated 52.2 percent of drug-resistant cancer cells in pre-clinical studies, more than five times the effectiveness of standard chemotherapy, and extended median survival in animal models by 50 percent, with no detectable toxicity. https://t.co/XGPzJY95NZ
- Sep 22, 20269.4x their median
MIT researchers have invented a new microscope that can image electrical activity in neurons distributed across the brain of an entire organism. Professor @eboyden3, the senior author of the study, holds a joint appointment in Media Arts and Sciences (the academic program at the Media Lab) and @mcgovernmit. https://t.co/OAJ1T3zEUJ
- Sep 30, 20266.6x their median
In her new book, “Artificial Intimacy: Who We Become When We Talk to Machines,” MIT Prof. @STurkle offers a sharp critique of chatbots, which offer a kind of “pretend empathy” that may damage human relationships. @mit_shass @MITPSTS https://t.co/9a5scoZjTJ
- Sep 10, 20265.5x their median
Just published in Science Advances: HITMAN, our new technology for treating one of the deadliest brain cancers. Glioblastoma (GBM) is one of the most aggressive and treatment-resistant cancers, with a median survival of only 12–15 months even with the best available care—creating an urgent need for new therapies. HITMAN — employs injectable nano-antennas approximately 150 nanometers in size. Activated wirelessly by a low-frequency magnetic field applied from outside the body, these nano-antennas generated highly localized electric fields that selectively killed glioblastoma cells and extended survival by more than 50% in pre-clinical animal studies. #Glioblastoma #CancerResearch #Nanotechnology #Bioelectronics #magnetoelectric @MIT @mit_nano @medialab @kochinstitute
- Aug 5, 20264.5x their median
What if the space stations of the future could build themselves? Media Lab alum @ariel_ekblaw, now CEO of @aurelia_labs, introduces TESSERAE (Tessellated Electromagnetic Space Structures for the Exploration of Reconfigurable Adaptive Environments), her vision for the space habitat infrastructure of the future. Learn more: https://t.co/gwy7GySJL4
- Aug 19, 20264.4x their median
MIT researchers have invented a new microscope that can image electrical activity in neurons distributed across the brain of an entire organism — in this case, the experimental model Danio rerio (zebrafish). Professor @eboyden3, the senior author of the study, holds a joint appointment in Media Arts and Sciences (the academic program at the Media Lab) and @mcgovernmit. The study was published in @naturemethods. https://t.co/IfOi3usrZc
- Sep 18, 20264.1x their median
Watch: Researchers in @NCB_MIT, led by @deblinasarkar59, have developed injectable nanoantennas that can be magnetically activated to create localized electric fields that target and destroy glioblastoma cells without damaging healthy brain tissue. Published in @ScienceAdvances, the technology — named HITMAN (highly-localized electric-field-induced tumor therapy using magnetically actuated nanoantennas) — eliminated 52.2 percent of drug-resistant cancer cells in pre-clinical studies, more than five times the effectiveness of standard chemotherapy, and extended median survival in animal models by 50 percent, with no detectable toxicity.
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 25 interactions against 451K followers, an engagement rate of 0.005%. Measured over 9 original posts, its engagement rate beats 26% of 21,185 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 4.3K times each, and 0.582% of those impressions turn into an interaction. That is about 0.954% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 11% are part of a thread and 100% link out. The account's strongest tracked post pulled 7.5K interactions, about 299x its own typical post.
- What is MIT Media Lab's engagement rate on X?
- MIT Media Lab (@medialab) has an engagement rate of 0.005%, based on the median interactions across 9 original posts from the last 30 days against 450,623 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.005%, MIT Media Lab sits above the 10th percentile of the 212,656 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 @medialab have real engagement?
- Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (21,185 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 @medialab post?
- Most posts go out around 18:00 UTC, and Wednesday is its busiest day, at roughly 0.67 posts per day across the measured window.