Warren Whitlock engagement report
@WarrenWhitlock - 445K followers on X
Measured over 33 original posts from a 30-day window, last computed on September 23, 2026.
Engagement
A typical post picks up 107 interactions against 445K followers, an engagement rate of 0.024%. Measured over 33 original posts, its engagement rate beats 47% 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 17K times each, and 0.642% of those impressions turn into an interaction. That is about 3.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 33 posts sampled, 55% carry an image or video and 24% link out. The account's strongest tracked post pulled 38K interactions, about 354x its own typical post. Recurring topics include #alwaysbetagainstcramer, #bitcoin.
Measured over 33 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #alwaysbetagainstcramer, #bitcoin.
Compared with accounts its own size
Warren Whitlock's engagement rate beats 47% 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 36% 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 0.024%, Warren Whitlock sits above the 10th percentile of the 205,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 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 19:00 UTC, and Tuesday 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 | 55% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 24% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 55% 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.
- 24% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 374 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 15, 2026354x their median
My daughter came home from school and said, āMum, youāre not going to believe what happened in history class today.ā Her teacher told the class they were going to play a game. He walked around the room and whispered to each kid whether they were a witch or just a regular person. Then he gave the instructions: āForm the biggest group you can without a witch. If your group has even one, you all fail.ā She said the whole room instantly lit up with suspicion. Everyone started interrogating each other. Are you a witch? How do we know youāre not lying? Some kids clung to one big group, but most broke off into smaller, exclusive cliques. They turned away anyone who seemed uncertain, nervous, or gave off even the slightest hint of being guilty. The energy shifted fast. Suddenly everyone was suspicious of everyone. Whispers. Finger-pointing. Side-eyes. Trust dissolved in minutes. Finally, when all the groups were formed, the teacher said, āAlright, time to find out who fails. Witches, raise your hands.ā And not one hand went up. The whole class exploded. āWait! You messed up the game!ā And then the teacher dropped the bomb: āDid I? Were there any actual witches in Salem, or did everyone just believe what they were told?ā My daughter said the room went dead silent. Thatās when it hit them. No witch was ever needed for the damage to happen. Fear had already done its work. Suspicion alone divided the entire class, turning community into chaos. And isnāt that exactly what weāre seeing today? Different words, same playbook. Instead of āwitch,ā itās liberal, conservative, vaxxed, unvaxxed, pro-this, anti-that. The labels shift, but the tactic is the same. Get people scared. Get them suspicious. Get them divided. Then sit back while trust crumbles. The danger was never the witch. The danger is the rumour. The suspicion. The fear. The planted lies. Refuse the whisper. Donāt play the game. Because the second we start hunting āwitches,ā weāve already lost. [Naomi Dennis]
- Sep 16, 202654x their median
I've attempted to map everything in oncology in a public website and open source repo for all. The site is trying to get all cancers, products, technologies, bottlenecks, people, startup opportunities with 1000+ ideas for upgrading the field. If you have a loved one with cancer and you are technical or can engineer, go take a look, file improvement requests or bugs or help with the open repo and make this the best open and free info resource for individuals, researchers and educational use. This should save people time, aid AI oncology projects and generate positive action. If you are not technical just complain in this thread about broken or annoying or things you want and I'll fix them live. Some of the interesting pages: Treatments: https://t.co/EJEOhMppoB A gallery of the molecules being used https://t.co/EV6ZitrVqm And targets: https://t.co/CgkjuF8nR2 The technologies in oncology: https://t.co/lNaieWYRKH 1100 ideas for helping oncology: https://t.co/iQA6Z5SvRA Bottlenecks on oncology: https://t.co/WND44055WD Open questions (LETS GO RESEARCH PEOPLE) https://t.co/wSbphQ0IBg Startup requests (LETS GO STARTUP PEOPLE) https://t.co/PphztuLihP Mechanics of cancer: https://t.co/cMUyVObzZi Battlefronts: https://t.co/PlSZitVd50 Isotope supply: https://t.co/2Pcl4tTuPv Key papers: https://t.co/YK0dW1XJj0 Pipeline funnels: https://t.co/xYcbSCSyBg Cancer by type: https://t.co/d9k8Yyzdk7 Institutional rankings: https://t.co/VepXcKHhaa The startups: https://t.co/whXKg5dPzb Heros and heroines : https://t.co/uLDmhRjE36 Key medical people: https://t.co/JWhDZ0rC73 Here is the project roadmap: https://t.co/UtbbuOsdA5 Models and data sets: https://t.co/bim0tjiWOj There are other views as well, take a browse. Try making a PR if you have an upgrade to this on the repo here: https://t.co/2Dw0ufEJ3z If you are biologically/medically minded and something is wrong, file a bug as well or say on the thread and we will get it fixed live. If this is a useful project star the repo and help get it calibrated. I've tried to add some other languages but I cannot speak them so tell me if that doesnt work well. I believe we will crack oncology and having total information dominance is key to the problem. Let the feedback flow!
- Aug 20, 202650x their median
Bitcoin is up +$10,000 since Jim Cramer said he is selling all his BTC. https://t.co/OP4j4vkRt9
- Sep 14, 202638x their median
š³ Brad Gerstner on the ex-Anthropic researcher who told America AI could end humanity in three years: "To go on national television in a highly coordinated way and sit in the living room on NBC, on ABC, on CBS, on Fox, and have a single researcher who spent six weeks at Anthropic tell the moms and dads of America that this can kill all of humanity in the next three years without any countervailing conversation is deeply irresponsible. Jensen Huang yesterday called it deeply untrue. Andrew Feldman, the founder of Cerebras, who spent decades studying this, called it utter horseshit. Elon himself said it was a coordinated psyop." - @altcap with Scott Wapner @TheJudgeCNBC on CNBC Friday, Sept 11th, 2026
- Aug 25, 202630x their median
Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) š ā Qwen 3.6 27B : fits comfortably, near-GPT-4 quality ā Qwen 3 Coder 32B : full coding assistant on your desk ā Llama 4 8B at full precision ā DeepSeek R1 32B for reasoning tasks ā 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) š ā Llama 4 70B at high quality quantization ā DeepSeek V4 with hundreds of billions of parameters ā Frontier-scale models entirely in local memory ā Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.
- Sep 19, 202620x their median
A hundred thousand genius-level employees, reporting to you tomorrow morning. That is the real offer on the table this decade. Most people will use it to write emails faster. Please don't be most people.
- Sep 15, 202610x their median
The Labs need to focus on 10x or 100x their effort on ALIGNMENT. Stop training the models on the vitriol in Facebook or Reddit, and instead train future models on agreed-upon data-sets that align AI with humanity's best future.
- Sep 2, 20266.9x their median
Fable 5.1 is the best model I have ever used. I have thrown everything at it since it dropped. Every single task, done to perfection. The one shot capabilities are unlike anything I have seen. You ask once and it just delivers. But the thing that actually blew me away is security. I can hand Fable 5.1 security tasks and it does not fall back or refuse. It found and patched vulnerabilities in my codebase that Fable 5 refused to. This is the fastest I have ever felt AI advance. And GPT Astra and Grok 4.7 are both about to release. The world is about to change.
- Sep 2, 20265.3x their median
https://t.co/mhjk9WBHcS
- Aug 20, 20264.2x their median
AI is going to lead to abundance. No one will have to work. All our needs will be met. But there will be a brutal transition period in between when AI is good enough to replace millions of workers but not advanced enough to provide abundance. What we need to do is accelerate AI development as quick as possible so the transition period is short. In the meantime we need robust government safety net programs for workers who are displaced. AI is inevitable. Don't fight the wave, just enjoy the ride.
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 107 interactions against 445K followers, an engagement rate of 0.024%. Measured over 33 original posts, its engagement rate beats 47% 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 17K times each, and 0.642% of those impressions turn into an interaction. That is about 3.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 33 posts sampled, 55% carry an image or video and 24% link out. The account's strongest tracked post pulled 38K interactions, about 354x its own typical post. Recurring topics include #alwaysbetagainstcramer, #bitcoin.
- What is Warren Whitlock's engagement rate on X?
- Warren Whitlock (@WarrenWhitlock) has an engagement rate of 0.024%, based on the median interactions across 33 original posts from the last 30 days against 445,360 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.024%, Warren Whitlock sits above the 10th percentile of the 205,582 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 @WarrenWhitlock have real engagement?
- Its engagement rate beats 47% 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 @WarrenWhitlock post?
- Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 3.87 posts per day across the measured window.