Jonathan Haidt engagement report
@JonHaidt - 470K followers on X
Measured over 8 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 212 interactions against 470K followers, an engagement rate of 0.045%. Measured over 8 original posts, its engagement rate beats 58% 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 19K times each, and 1.13% of those impressions turn into an interaction. That is about 4.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 25% carry an image or video, 13% are part of a thread and 88% link out. The account's strongest tracked post pulled 2.7K interactions, about 13x its own typical post. Recurring topics include #ai, #books, #tech.
Measured over 8 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #ai, #books, #tech.
Compared with accounts its own size
Jonathan Haidt's engagement rate beats 58% 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 51% 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 0.045%, Jonathan Haidt sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 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 14:00 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 | 25% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 88% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 25% 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.
- 88% 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 548 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 7, 202613x their median
Evidence on the harmful cognitive effects of TikTok, Reels, and other short form video keeps growing. It's not just the content, it's the attention fragmentation and the declining ability to plan for the future. From @juliejargon https://t.co/PhrF1zxhk0
- Sep 24, 20263.7x their median
The evidence that social media is a cause (not just a correlate) of poor mental health keeps piling up. We lay it out in an accessible form here. We also go beyond mental health to review evidence of many other harms, esp. short form videos and cognitive functioning: https://t.co/Xjleeaq6Bf
- Jul 24, 20264.1x their median
If your kids have TikTok accounts, or ask for them, you should sit down with them and read this report together. Share the disgust and degradation of real feeds from real kids. TikTok is wildly inappropriate for children. From @RR_research and UK orgs https://t.co/wHxIxB160p https://t.co/EA6hKIZ5mN
- Sep 9, 20262.8x their median
The latest PISA report shows that the global decline in reading ability did not reverse as COVID school closures retreated into the past. If anything, it has sped up since 2022. The authors often point to digital tech as a possible contributor. For example, this figure shows that students from phone-free schools are less likely to be distracted by digital devices during class, compared to students in schools that don’t have a phone-free policy. The two worst policies involve placing the burden on teachers to set rules in their own classes. This is more evidence that phone free schools are better schools.
- Jun 4, 20261.6x their median
We don't know whether it was smartphones/social-media or edtech that was the bigger contributor to the decline in education outcomes that began in the 2010s. But new revelations show the tricks Meta, Snap, and Tiktok used to lure students during the school day. Still more reasons to be technoskeptical https://t.co/m9TrbNWm1N
- Jun 29, 20263.7x their median
We over-protected children in the real world and under-protected them online. Since 2012, the results are undeniable—skyrocketing anxiety, depression, loneliness. Not by accident. Deliberate design choices by companies that knew what they were doing. So now we're at the tobacco moment. The lawsuits are succeeding. Public support is overwhelming. Kids Over Clicks has the roadmap—age restrictions, safety-by-design, phone-free schools, AI accountability, end surveillance ads. No more excuses. https://t.co/7FP6kCFBNU
- Oct 5, 20262.7x their median
At the Tech and Society Lab at NYU-Stern, we have been studying the effects of many kinds of technology on kids & teens. For the first time, we have posted all of our academic publications, tools, and data-related essays in one place. Start here: https://t.co/BJkOoTbvso https://t.co/U88AUOCsB0
- Jul 30, 20262.4x their median
Most American adults now support phone-free schools. Public support is bipartisan. The most frequent report I hear is that lunchrooms and hallways are loud again. From @pewresearch https://t.co/SVrBq6whIc
- Jun 7, 2026
Social psychologist Jonathan Haidt, author of "The Anxious Generation," shares why he's encouraging more techno-skepticism and warns of the detrimental impact technology can have on kids. https://t.co/mwI6nMNWMZ
- Aug 15, 20262.0x their median
11 years ago I set out to write a book on the moral psychology of capitalism. I got sidetracked, never wrote it. But here's a new book that does a great job of it: Inequality: The View from Manywheres, by Séamus Power. He and I both draw on our mentor, Richard Shweder: https://t.co/MLz0ZYbav1
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 212 interactions against 470K followers, an engagement rate of 0.045%. Measured over 8 original posts, its engagement rate beats 58% 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 19K times each, and 1.13% of those impressions turn into an interaction. That is about 4.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 25% carry an image or video, 13% are part of a thread and 88% link out. The account's strongest tracked post pulled 2.7K interactions, about 13x its own typical post. Recurring topics include #ai, #books, #tech.
- What is Jonathan Haidt's engagement rate on X?
- Jonathan Haidt (@JonHaidt) has an engagement rate of 0.045%, based on the median interactions across 8 original posts from the last 30 days against 469,617 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.045%, Jonathan Haidt sits above the 25th percentile of the 205,261 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 @JonHaidt have real engagement?
- Its engagement rate beats 58% 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 @JonHaidt post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.2 posts per day across the measured window.