Jack Clark engagement report
@jackclarkSF - 155K followers on X
Measured over 7 original posts from a 30-day window, last computed on September 25, 2026.
Engagement
Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 186 interactions against 155K followers, an engagement rate of 0.125%. Posts are seen about 21K times each, and 0.888% of those impressions turn into an interaction. That is about 13.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 29% carry an image or video, 14% are part of a thread and 57% link out. The account's strongest tracked post pulled 6.3K interactions, about 34x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 7 original posts from a 30-day window, last computed on September 25, 2026. Recurring tag: #votenature2026.
Where this sits in the catalog
At 0.125%, Jack Clark sits above the 25th percentile of the 204,694 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 | 0.677% |
| 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 12:00 UTC, and Sunday 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 | 29% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 57% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 29% 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.
- 57% 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 195 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
- Aug 12, 202634x their median
The beautiful and tragic thing about having young children is you do stuff with them like blowing bubbles on your front porch with your extended family and you think "this is the best time of my life" and you're right.
- May 28, 20215.6x their median
Here’s what I’ve been working on recently: @anthropicai. I’ll be spending a lot of my time on measurement and assessment of our AI systems, as well as thinking of ways govs/others can assess AI tech. There’s a lot to do!
- Jun 30, 20264.0x their median
though many experts disagree on the nature of the singularity, all agree that the demarcation for the beginning of the "true foothills" lies on June 30th 2026, the day arXiv went from red to black.
- Jul 21, 20263.6x their median
Props to OpenAI for publishing this post on some safety and alignment issues observed in internal deployments - there are many counter-incentives to publishing stuff like this, but by making it public we all get better info about safety at the frontier. https://t.co/7UKWrLSI3y
- Jul 25, 20263.4x their median
7pm: Thinking to myself after closing the door on my toddler who I've just tucked into bed: They are an angel. I am so blessed. I love them infinitely. 8pm (after they've come out of their room 7 or 8 times): What if I bricked up their door at night?
- Aug 24, 20263.3x their median
Sometimes I have to celebrate my English heritage by making oddly unappetizing seemingly underseasoned food that is, nonetheless, absolute scran. https://t.co/PV6Y5rZelH
- Aug 28, 20263.2x their median
https://t.co/kNdNHTZzle
- Jun 19, 20262.5x their median
NEW ODD LOTS: @tracyalloway and I talk to Anthropic’s co-founder @jackclarkSF and top economist @PeterMcCrory about everything they’re seeing doing research at the AI frontier. We talk Fable, human extinction risk, job loss, shrimp rights and more. https://t.co/RaHnlSWTHF
- Jul 23, 20262.0x their median
Very excited about the release of the ATLAS 1.0 white paper on AI use and the economy. The report is a broad collaboration between @Google & @GoogleDeepMind and covers how our AI is being used at scale. The data set has 15 million de-identified interactions across a large number of surfaces including the Gemini App, API, and Google's AI mode. This broad coverage gives us perspective on how AI is used both at work and outside of work. The team did a huge amount of work classifying interactions to specific tasks at work and at home. There are tons of interesting findings in the paper (link below) but here are some of my favorites: 1. Yes, white collar work is overrepresented in work-related AI usage, but it's also being used for a non-white collar work. It's used as a hands on collaborator for diagnostics and troubleshooting. Manual and technical trades tend to use the multimodal features more, images and video, e.g., auto techs and industrial mechanics interpreting complex test results, inspecting machinery for wear, debugging electrical wiring. 2. There is super broad diffusion of AI for almost everything. AI use covers occupations that represent 88% of total US employment, white collar work but also farmers and foresters. 3. AI is creating real value outside of work that GDP statistics may miss. This supports @erikbryn's proposal that GDP will be an incomplete measure of AI's positive impact on society. A huge number of AI interactions are in "productive household activities" such as researching things for the home, interior design, help with tools/appliances etc. Interactions regarding legal services are also highly overrepresented. 4. One of the most overrepresented uses of AI for non-work activities is interacting with the public sector. Activities related to interactions with govt services and civic obligations make up a huge number of interactions, and importantly, many take place outside of business hours. 5. Both #3 and #4 suggest to me that AI will be very useful in helping people navigate complexities and overcoming frictions/barriers in their every day lives. So many conversations about AI focus on labor market impacts, but welfare is not just work, and ATLAS nicely highlights that the broader impact of AI is quite significant. 6. We cover a good deal of global diffusion. English accounts for only 1/3 of global conversations and users engage with AI in their native language for both complex work and non-work tasks. Interestingly, non-OECD countries have a lot more image and video usage. The reason it's called 1.0 is because this is only the beginning. We have a ton of follow up projects in the works. https://t.co/q2bhqoAQi7
- Jul 19, 20262.0x their median
Very interesting personal milestone - Fable just had a good suggestion for some text of a fictional story to delete. I find AI writing broadly excruciating, AI sub-editing pretty helpful, and feels like 'AI editing' is now coming online. Story coming in Import AI tomorrow!
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 186 interactions against 155K followers, an engagement rate of 0.125%. Posts are seen about 21K times each, and 0.888% of those impressions turn into an interaction. That is about 13.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 29% carry an image or video, 14% are part of a thread and 57% link out. The account's strongest tracked post pulled 6.3K interactions, about 34x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Jack Clark's engagement rate on X?
- Jack Clark (@jackclarkSF) has an engagement rate of 0.125%, based on the median interactions across 7 original posts from the last 30 days against 154,579 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.125%, Jack Clark sits above the 25th 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 @jackclarkSF have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @jackclarkSF post?
- Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 0.7 posts per day across the measured window.