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Doug Stanhope engagement report

@DougStanhope - 363K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Per follower
0.018%
of 363K followers
Per impression
0.534%
12K views on a typical post
Reach
3.40%
of its followers see a post
Typical post
66
interactions (median)
Saved
0.016%
2 bookmarks on a typical post
Posting rate
0.2/day
active 17% of days
Peak time
05:00 UTC
Thursday

Early reading. We have captured 5 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 66 interactions against 363K followers, an engagement rate of 0.018%. Posts are seen about 12K times each, and 0.534% of those impressions turn into an interaction. That is about 3.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 5 posts sampled, 20% carry an image or video and 60% link out. The account's strongest tracked post pulled 1.4K interactions, about 20x its own typical post. Only 5 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 5 original posts from a 30-day window, last computed on October 4, 2026. Recurring tag: #nathanforyou.

Where this sits in the catalog

At 0.018%, Doug Stanhope sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
90th percentile2.55%
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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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 video20% of posts+111%+108% to +115%34K
Outbound link60% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 20% 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.
  • 60% 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 261 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

  • Jan 1, 202520x their median

    The special is now out in full with all the fun stuff that made it un-monetizeable! https://t.co/HsyFPhrTzp Enjoy your New Year. We'll start drunk-dialing Patreon folks shortly. If it's a blocked #, it's us!

    8873766227229K viewsView on X
  • Mar 7, 202616x their median

    #classicbitoftheweek https://t.co/R0GK8ZNVBK

    838140361053K viewsView on X
  • Feb 28, 202613x their median

    https://t.co/YSsc23VvGX

    7178125540K viewsView on X
  • May 4, 202610x their median

    Spirit Airlines Victims! If you have ANY cc purchases whatsoever in the last 6 months, big or small, call your credit card co and charge it back! There is nobody answering phones at #Spirit #SpiritAir #SpiritAirlines to negate your claim!

    59159306114K viewsView on X
  • Feb 26, 20268.7x their median

    Drink on the company dime https://t.co/bljaDqg4Vq

    5194414434K viewsView on X
  • Mar 14, 20267.3x their median

    Have you ever considered registering as a sex offender #classicbitoftheweek https://t.co/4AbGXnlfOn

    435348365K viewsView on X
  • Nov 11, 2025

    They just posted the show schedule for @Skankfest and it looks like I'm gonna need to schedule a 7:45pm key bump on that 3-show Friday. Don't know what department you go thru for that anymore. Page me. #SkankfestNewOrleans

    4031827440K viewsView on X
  • Sep 7, 20266.4x their median

    I absolutely love that this is actually a thing. Nathan Fielder documentary of Elizabeth Holmes. Trailer alone makes you creep towards nearest exit on all fours. #NathanForYou https://t.co/1q2Hh40DmD

    3831818322K viewsView on X
  • Apr 18, 20266.3x their median

    Give a man a fish #classicbitoftheweek #deadbeathero https://t.co/YP47BQGCKU

    3693413217K viewsView on X
  • Mar 21, 20266.1x their median

    Wake up with stories you’d be proud to tell your friends #classicbitoftheweek https://t.co/fEqFPAXyKW

    349487129K 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.

Recurring topics

#nathanforyou

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 66 interactions against 363K followers, an engagement rate of 0.018%. Posts are seen about 12K times each, and 0.534% of those impressions turn into an interaction. That is about 3.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 5 posts sampled, 20% carry an image or video and 60% link out. The account's strongest tracked post pulled 1.4K interactions, about 20x its own typical post. Only 5 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 Doug Stanhope's engagement rate on X?
Doug Stanhope (@DougStanhope) has an engagement rate of 0.018%, based on the median interactions across 5 original posts from the last 30 days against 362,670 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Doug Stanhope sits above the 10th percentile of the 204,583 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 @DougStanhope have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @DougStanhope post?
Most posts go out around 05:00 UTC, and Thursday is its busiest day, at roughly 0.2 posts per day across the measured window.

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