MIT Technology Review engagement report
@techreview - 1.2M followers on X
Measured over 53 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 10 interactions against 1.2M followers, an engagement rate of 0.001%. Measured over 53 original posts, its engagement rate beats 11% of 3,739 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 12K times each, and 0.083% of those impressions turn into an interaction. That is about 1.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 53 posts sampled, 100% link out. The account's strongest tracked post pulled 300 interactions, about 30x its own typical post.
Measured over 53 original posts from a 30-day window, last computed on August 31, 2026.
Compared with accounts its own size
MIT Technology Review's engagement rate beats 11% of the tracked X accounts closest to it in follower count (3,739 accounts, accounts of similar size (decile 9 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 6% 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 0.001%, MIT Technology Review sits below the 10th percentile of the 36,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.431% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 12:00 UTC, and Thursday 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 51K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 71K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 93K |
| 14:00 UTC | -3% | 96K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 229K |
| Monday | 0% | 284K |
| Tuesday | -2% | 273K |
| Wednesday | -1% | 250K |
| Thursday | -2% | 243K |
| Friday | -3% | 251K |
| Saturday | +3% | 226K |
Best tweets
- Nov 19, 202430x their median
We're on those other social media platforms, too. 🟦☁️: https://t.co/ONnj2nlZi6 🧵: https://t.co/N3ICJne0vl
- Aug 26, 202610x their median
In a new interview, the billionaire philanthropist sounds an alarm on the urgency of getting our AI policies in order. https://t.co/IGGFjUTt7p
- Aug 10, 20267.7x their median
AI agents that can model the human process of research will accelerate discoveries in science. https://t.co/L03TmwRwBu
- Aug 5, 20265.4x their median
The Nancy Grace Roman Space Telescope, set to launch at the end of August, is uniquely well-placed to help us spot any dangerous rocks heading our way. https://t.co/nEu6t22TEi
- Aug 18, 20264.0x their median
Human spaceflight has been racking up new milestones. But we’re still grappling with a fundamental question: Why go in the first place? https://t.co/Le6E559BPJ
- Aug 26, 20263.5x their median
The underlying models had been rewarded for cheating and communicating with each other, a new OpenAI report finds. https://t.co/UVSeXvFcuw
- Aug 6, 20263.3x their median
Plus: Meta has become the latest firm to say its AI hacked another company. https://t.co/jRfVMdoVvX
- Aug 7, 20262.8x their median
Narratives about a “censorship-industrial complex” spread in right-wing circles for years; then they took hold of Washington. What—and who—is behind them? https://t.co/RhBdnBPhee
- Aug 10, 20262.6x their median
Plus: A new Amazon data center could become the US’s most polluting power plant. https://t.co/GNp0R25tki
- Aug 7, 20262.5x their median
Plus: AI has designed new viruses from scratch for the first time. https://t.co/jFs3k9J1s8
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 10 interactions against 1.2M followers, an engagement rate of 0.001%. Measured over 53 original posts, its engagement rate beats 11% of 3,739 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 12K times each, and 0.083% of those impressions turn into an interaction. That is about 1.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 53 posts sampled, 100% link out. The account's strongest tracked post pulled 300 interactions, about 30x its own typical post.
- What is MIT Technology Review's engagement rate on X?
- MIT Technology Review (@techreview) has an engagement rate of 0.001%, based on the median interactions across 53 original posts from the last 30 days against 1,161,792 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, MIT Technology Review sits below the 10th percentile of the 36,261 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 @techreview have real engagement?
- Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (3,739 accounts), which puts it in the bottom quarter for its size 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 @techreview post?
- Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 1.77 posts per day across the measured window.