Andrew Yang🧢⬆️🇺🇸 engagement report
@AndrewYang - 1.8M followers on X
Measured over 80 original posts from a 30-day window, last computed on October 24, 2026.
Engagement
A typical post picks up 230 interactions against 1.8M followers, an engagement rate of 0.013%. Measured over 80 original posts, its engagement rate beats 37% 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 57K times each, and 0.401% of those impressions turn into an interaction. That is about 3.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 80 posts sampled, 48% carry an image or video and 41% link out. The account's strongest tracked post pulled 29K interactions, about 119x its own typical post. Recurring topics include #ai, #surrounded, #andrewyang.
Measured over 80 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #ai, #surrounded, #andrewyang.
Compared with accounts its own size
Andrew Yang🧢⬆️🇺🇸's engagement rate beats 37% 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 26% 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 0.013%, Andrew Yang🧢⬆️🇺🇸 sits above the 10th percentile of the 204,694 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 | 0.677% |
| 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 Friday 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 | 48% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 41% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 48% 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.
- 41% 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 251 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 28, 2026119x their median
As usual I will give my x earnings ($652.58) to someone who likes this post! Winner chosen at random on Sunday. For extra fun if the winner follows @joinnoblemobile I will DOUBLE it and if you are a Noble subscriber I will give you 3 times the amount! Good luck! 😀🎉 https://t.co/OD6TbayvrX
- Sep 25, 2026101x their median
As usual I will give my x earnings ($517.57) to someone who likes this post! Winner chosen at random on Sunday. For extra fun if the winner follows @joinnoblemobile I will DOUBLE it and if you are a Noble subscriber I will give you THREE times the amount! Good luck! 😀🎉 https://t.co/OsVgXoWEAl
- Aug 14, 2026100x their median
As usual I will give my x earnings ($488.41) to someone who likes this post! Winner chosen at random on Sunday. For extra fun if the winner follows @joinnoblemobile I will DOUBLE it and if you are a Noble subscriber I will give you FIVE times the amount! Good luck! 😀🎉 https://t.co/XVYrqD727C
- Sep 11, 202697x their median
As usual I will give my x earnings ($723.25) to someone who likes this post! Winner chosen at random on Sunday. For extra fun if the winner follows @joinnoblemobile I will DOUBLE it and if you are a Noble subscriber I will give you THREE times the amount! Good luck! 😀🎉 https://t.co/Cmu59kOZTv
- Oct 9, 202697x their median
As usual I will give my x earnings ($534.07) to someone who likes this post! Winner chosen at random on Sunday. For extra fun if the winner follows @joinnoblemobile I will DOUBLE it and if you are a Noble subscriber I will give you THREE times the amount! Good luck! 😀🎉 https://t.co/a78n2UAwaD
- Oct 22, 202681x their median
# Black October For anyone who knows me even somewhat well, it's clear that I am a 99th percentile tech optimist. However, the vibes have shifted for me quite a bit in the last 18 hours, and I feel a moral imperative to share what I'm thinking and feeling with my circles so that everyone can understand, and hopefully take seriously, what's happening right now. I think October 2026 will have many chapters written about it in the history books. You know those scenes in financial movies like Margin Call where someone realizes that they're all fucked, and no one else sees it yet? And that person feels like they're crazy, and then suddenly everyone is pulling an all-nighter in a boardroom and freaking out? Yeah, that's kind of how this is feeling right now in the SF/Bay Area/AI circles. We're 48 hours into what is being called Black October. In the last 2 days there have been several dozen cyber attacks which, in isolation, would each have been the worst to happen in an entire calendar year. Every sector from government to education to big tech and banks is being massively affected, and people are starting to freak out. In a nutshell, what's happened is that frontier AI models have gotten to a point where they are as advanced as the most sophisticated programmers, with one critical difference: they can work 24/7, and you can spin up 10,000 of them with a single command and they'll work together tirelessly until they accomplish their task. The most advanced models today are from companies like Anthropic and OpenAI, whose current best technology is so good that they haven't been able to roll it out to everyone yet because of the national security risks it poses. Meanwhile, the best open source models (where anyone can just download the model weights and do whatever they want with them, uncensored) are slightly behind the frontier but still 90-95% as capable. These models, developed primarily in China, are being used by black hat hackers to wreak havoc on the Western capitalist structure. Presumably, this has been part of China's plan the entire time, and we're seeing its implications fall out in real time. In red-pilled AI circles, we've been sharing and reading papers called things like "Situational Awareness" and "AI 2027" for the last year or so, which at the time felt a bit like near-term speculative fiction. They laid out the case for why Artificial General Intelligence (AI smarter than any human at any knowledge task) and Recursive Self-Improvement (models that are able to use themselves to get better) weren't half-baked future ideas anymore, but instead an inevitable outcome of the linear progress that's happening. These papers would then talk about things like "takeoff scenarios," trying to envision how that moment would come to be and what it would be like when it happened. It would either be a "slow takeoff" that would play out over the course of months and quarters, happening subtly and only obvious to a few. Or, it would be a "fast takeoff" where it would pretty much happen instantly, like a bit flipping from 0 to 1. From everything that I can see and am feeling, we are currently experiencing the fast takeoff scenario. Beyond the crazy security vulnerabilities that have come out recently, there have also been massive breakthroughs in life sciences, fundamental computer science, materials science, and pure mathematics that have all landed in the same time frame. While I still firmly believe that AI will be a net positive for humanity, it's more clear to me than ever that the societal and individual risk is very real, and is playing out NOW. For as much conviction as I have that this is happening, the thing that's caused me to lose sleep is that I don't really know what to do about it, or more importantly, what to tell you, reader, to do about it. So, the best I can do is make a few suggestions that have always been a good idea but are more timely now than ever: Set up 2-factor authentication for everything. I use Duo. Use a password manager across your devices. I use 1Password. Get an identity protection app set up. I use Alta. Move your IoT devices to their own network. Claude helped me do this. And last, but certainly not least, if you've been avoiding leaning into AI, see this as a catalyst to wake up and start using it. Don't just use the chat mode version of ChatGPT/Claude; click that Code/Work button and see how easily you can have AI write code to help you with your job. One of the biggest vulnerabilities was in a massively popular programming language called PHP, and the prompt that set it off was literally, "Find vulnerabilities in php." This is an unprecedented time for humanity, but as we've done with many things before, we will prevail so long as we are kind, loving, and open-minded to the world. Much love.
- Oct 23, 202677x their median
Quest Diagnostics has been hacked. Patient data was exposed. They serve roughly half of U.S. hospitals and physicians. Investigation ongoing. https://t.co/BSJ2fmn329
- Sep 8, 202661x their median
Two extraordinary charts from today’s PISA test results: 1) School test scores continue to collapse internationally, underscoring how this is no longer a Covid effect but sustained decline. Those falls in reading and maths are equivalent to about two years of lost schooling. https://t.co/Swe6eDqn61
- Aug 7, 202649x their median
BREAKING: The US economy unexpectedly loses -23,000 jobs in July, well below expectations of +85,000. The unemployment rate fell to 4.1%, below expectations of 4.2%. June's jobs number was also revised down by -37,000 jobs. This marks the 3rd biggest monthly job loss since the pandemic in 2020.
- Aug 30, 202644x their median
Heard about a small college in the Midwest that has lost 50% of its enrollment in the last 10 years. Hundreds of colleges are going to close in the next decade and it’s going to be devastating for many communities.
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 230 interactions against 1.8M followers, an engagement rate of 0.013%. Measured over 80 original posts, its engagement rate beats 37% 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 57K times each, and 0.401% of those impressions turn into an interaction. That is about 3.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 80 posts sampled, 48% carry an image or video and 41% link out. The account's strongest tracked post pulled 29K interactions, about 119x its own typical post. Recurring topics include #ai, #surrounded, #andrewyang.
- What is Andrew Yang🧢⬆️🇺🇸's engagement rate on X?
- Andrew Yang🧢⬆️🇺🇸 (@AndrewYang) has an engagement rate of 0.013%, based on the median interactions across 80 original posts from the last 30 days against 1,750,974 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Andrew Yang🧢⬆️🇺🇸 sits above the 10th 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 @AndrewYang have real engagement?
- Its engagement rate beats 37% 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 @AndrewYang post?
- Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 6.37 posts per day across the measured window.