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Dr. Clown, PhD engagement report

@DrClownPhD - 351K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.182%
of 351K followers
Per impression
3.78%
17K views on a typical post
Reach
4.81%
of its followers see a post
Typical post
634
interactions (median)
Saved
0.054%
9 bookmarks on a typical post
Posting rate
1.93/day
active 13% of days
Peak time
17:00 UTC
Monday

A typical post picks up 634 interactions against 351K followers, an engagement rate of 0.182%. Measured over 35 original posts, its engagement rate beats 75% of 6,493 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 3.78% of those impressions turn into an interaction. That is about 4.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 35 posts sampled, 89% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 9.0K interactions, about 14x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

Dr. Clown, PhD's engagement rate beats 75% of the tracked X accounts closest to it in follower count (6,493 accounts, accounts of similar size (decile 8 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 85% 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 0.182%, Dr. Clown, PhD sits above the 50th percentile of the 65,864 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.1%
Engagement rate as a share of followers, across the 65,864 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,191 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.1%

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 17:00 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.

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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video89% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 89% 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.
  • 0% 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 99 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 2, 202614x their median

    🚨BREAKING: Canada deploys Meme Police to the U.S. after Mark Carney asks Americans to stop doing memes. https://t.co/YOBaMRfgAZ

    6.6K1.9K357227191K viewsView on X
  • Sep 1, 20268.5x their median

    Bro! 💀 https://t.co/ELaKtsDYQm

    4.7K42120563277K viewsView on X
  • Sep 1, 20268.1x their median

    This is why we need to bring dinosaurs back. https://t.co/l5erYBdAS6

    4.4K45219872203K viewsView on X
  • Aug 30, 20268.0x their median

    🚨BREAKING: Water levels at Lake America are rising faster than expected. https://t.co/uukEshH06C

    4.3K5779344167K viewsView on X
  • Sep 2, 20266.1x their median

    🚨BREAKING: “Leaked footage” from Day 4 inside the Lindsay Clancy jury deliberation room. Someone please check on those poor 3 men. https://t.co/BpzGGAMM0d

    3.3K4327527100K viewsView on X
  • Sep 1, 20264.5x their median

    First man on the moon, but instead of Neil Armstrong, it’s an Indian https://t.co/i5Jq95lPVC

    2.5K2621191759K viewsView on X
  • Sep 1, 20263.3x their median

    🚨BREAKING: Day 4 of jury deliberations in the Lindsay Clancy trial. https://t.co/M90w7H1Wfc

    1.7K316691536K viewsView on X
  • Aug 30, 20263.0x their median

    I can't even put into words how fvcking annoyed I am with this sh*t. https://t.co/RzlYWYEE2U

    1.1K5772549232K viewsView on X
  • Sep 1, 20262.4x their median

    🚨BREAKING: The WNBA has officially introduced male cheerleaders. https://t.co/XMPiC7khJb

    1.3K16835949K viewsView on X
  • Aug 31, 20261.7x their median

    The Devil, three days into waiting for the Lindsay Clancy verdict. https://t.co/oZst7tgUhO

    9917729313K 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 634 interactions against 351K followers, an engagement rate of 0.182%. Measured over 35 original posts, its engagement rate beats 75% of 6,493 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 3.78% of those impressions turn into an interaction. That is about 4.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 35 posts sampled, 89% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 9.0K interactions, about 14x its own typical post.

What is Dr. Clown, PhD's engagement rate on X?
Dr. Clown, PhD (@DrClownPhD) has an engagement rate of 0.182%, based on the median interactions across 35 original posts from the last 30 days against 350,752 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.182%, Dr. Clown, PhD sits above the 50th percentile of the 65,864 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 @DrClownPhD have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (6,493 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 @DrClownPhD post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 1.93 posts per day across the measured window.

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