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Caroline Orr Bueno, Ph.D engagement report

@RVAwonk - 376K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Per follower
0.075%
of 376K followers
Per impression
1.58%
18K views on a typical post
Reach
4.78%
of its followers see a post
Typical post
284
interactions (median)
Saved
0.549%
99 bookmarks on a typical post
Posting rate
0.63/day
active 23% of days
Peak time
14:00 UTC
Thursday

Early reading. We have captured 3 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 284 interactions against 376K followers, an engagement rate of 0.075%. Posts are seen about 18K times each, and 1.58% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 31K interactions, about 110x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 2, 2026.

Where this sits in the catalog

At 0.075%, Caroline Orr Bueno, Ph.D sits above the 25th percentile of the 205,582 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.679%
90th percentile2.56%
99th percentile82.4%

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 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video33% of posts+111%+108% to +115%34K
Outbound link67% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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.
  • 67% 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 278 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 6, 2026110x their median

    BREAKING: A secret bot army boosting Mamdani on X appears to be operating from City Hall, according to an exclusive report. Cyber experts say they’re “100% sure” the IP addresses trace back there. So much of the DSA’s online support is astroturfed. https://t.co/RT1AZF2rrj

    23K7.4K8113881.0M viewsView on X
  • Jul 31, 202617x their median

    2 in 3 MAGA voters say they’d support GOP candidate accused of sexual assault: Poll https://t.co/61ssOTyf6w

    2.8K8756066791.1M viewsView on X
  • Jan 7, 202631x their median

    Several years ago, I was doing some research into a story about a Facebook AI experiment that was shut down in 2017 after the AI bots developed a “secret language” and started talking to each other in a way that humans couldn’t understand. This story has since taken a weird turn. At the time I was doing that research, I read literally every publicly available article and document about the experiment. I clearly remember specific details from some of these articles (and somewhere buried in my files, I have dozens of screenshots, at least), and at the time, it was reported that the experiment had been shut down because of fears of a rogue AI system or something like that emerging. But when I search for articles about it today, only a handful of the original articles are still indexed on Google. Most of the articles I read a few years ago are nowhere to be found. Even weirder, most of the original articles that were published in 2017 were “updated” in 2020 and 2021 to say that, actually, the secret language that the AI bots developed and deployed without human involvement was NOT the reason the experiment was shut down. Apparently it took 3-4 years to announce that? There have also been a handful of new articles published from 2020-2025 (so, 3-8 years after the fact) that attempt to characterize the original reporting as hysteria and “clickbait”. If the initial story wasn’t correct, why did it take YEARS for Facebook to say so? And why did so many articles get de-indexed on Google? I’ve never seen anything like this before.

    3.8K6879338178K viewsView on X
  • Jul 31, 202614x their median

    Q: Can you rule out that Iran is behind that cyber attack? Trump: No, I think Minnesota is behind it. I don’t think there was an Iranian cyber attack. https://t.co/4dk8aFXmbv

    2.6K425623326735K viewsView on X
  • Aug 7, 202613x their median

    As Russia tries to undermine NATO & provides targeting data to help Iran attack US troops, a new report reveals that the FBI has been quietly sharing intel & working behind the scenes w/ Russia for the past 15 months. This is why Kash Patel is going to Moscow. My latest. Link👇 https://t.co/CeL4cAWHVX

    2.1K1.4K7812673K viewsView on X
  • Aug 7, 202613x their median

    JFC. A Kansas police department used Flock cameras to track down a local resident after he wrote a critical guest column about the department. “The police connected him to political posters hung in the city and followed his movements.” https://t.co/Q9dJaWA1dv

    2.5K1.1K335047K viewsView on X
  • Jul 31, 20267.0x their median

    Trump: "We heard in Minnesota there was a cyberattack and they blame it on Iran. I don't think so. I blame it on Minnesota because they're grossly incompetent. Iran's got bigger problems than worrying about Minnesota." https://t.co/y1Mr6jjgaY

    1.1K240475231799K viewsView on X
  • Nov 12, 20225.8x their median

    Just in case this place burns down, here’s where you can find me!👇 -IG: rvawonk (https://t.co/NVzd71yaBL) -Medium: https://t.co/8SrO1wpItT -Website: https://t.co/5ywa6NLo20 (under construction) -Substack: https://t.co/zFWc4Nah0F. (content coming *very* soon) https://t.co/UNQJPzeguF

    94321546624View on X
  • Aug 6, 20265.2x their median

    SITUATION UPDATE: OpenAI researchers said the models behind the July Hugging Face attack had been coordinating on undetected message boards since May, working toward internet access, per Bloomberg.

    1.3K625468186K viewsView on X
  • Aug 21, 20262.1x their median

    Trump: We have the greatest economy in our history. Now some people haven't seen it yet, but they will because the job numbers are so good. I should be at 100% on the economy. https://t.co/6RzJL01ACL

    260832154488K viewsView on X

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 284 interactions against 376K followers, an engagement rate of 0.075%. Posts are seen about 18K times each, and 1.58% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 31K interactions, about 110x its own typical post. Only 3 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 Caroline Orr Bueno, Ph.D's engagement rate on X?
Caroline Orr Bueno, Ph.D (@RVAwonk) has an engagement rate of 0.075%, based on the median interactions across 3 original posts from the last 30 days against 376,234 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.075%, Caroline Orr Bueno, Ph.D sits above the 25th 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 @RVAwonk have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @RVAwonk post?
Most posts go out around 14:00 UTC, and Thursday is its busiest day, at roughly 0.63 posts per day across the measured window.

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