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Michelle Malkin engagement report

@michellemalkin - 1.9M followers on X

Measured over 2 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Per follower
0.052%
of 1.9M followers
Per impression
3.04%
33K views on a typical post
Reach
1.70%
of its followers see a post
Typical post
990
interactions (median)
Saved
0.077%
25 bookmarks on a typical post
Posting rate
0.17/day
active 17% of days
Peak time
17:00 UTC
Sunday

Early reading. We have captured 2 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 990 interactions against 1.9M followers, an engagement rate of 0.052%. Posts are seen about 33K times each, and 3.04% of those impressions turn into an interaction. That is about 1.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 71K interactions, about 72x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on August 21, 2026. Recurring tag: #corruptahoma.

Where this sits in the catalog

At 0.052%, Michelle Malkin sits above the 50th percentile of the 10,151 accounts in this comparison. That places it in the above the median band, which runs 0.047% to 0.324%.

p100.001%
p250.007%
p50 (median)0.047%
p750.324%
p902.53%
p99360.5%
Engagement rate as a share of followers, across the 10,151 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 450,564 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 percentile0.001%
25th percentile0.007%
50th percentile0.047%
75th percentile0.324%
90th percentile2.53%
99th percentile360.5%

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 Sunday 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 96%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 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
23:00 UTC+1%15K
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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video100% of posts+79%+73% to +85%5.8K
Outbound link0% of posts-49%-50% to -47%6.1K
Typical length-+13%+10% to +15%6.4K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
  • Its average post runs 782 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 13% 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

  • Jul 13, 202472x their median

    Trump raises a fist in defiance seconds after getting shot in the head Blood is still dripping from his face https://t.co/9SSb7daEuJ

    61K8.0K1.3K1.3K6.7M viewsView on X
  • Dec 12, 202443x their median

    More than 18 years after the Duke lacrosse allegations, Crystal Mangum admits that she made it all up. "I testified falsely against [the lacrosse players] by saying that they raped me when they didn't...I made up a story that wasn't true...I hope that they can forgive me." https://t.co/3yMjbQTQXH

    29K7.0K3.4K3.2K15M viewsView on X
  • Dec 27, 202422x their median

    Another December Twitter purge… Deja vu all over again. https://t.co/l9Z9Clq4F8

    19K2.1K7282931.2M viewsView on X
  • Mar 15, 202618x their median

    https://t.co/0ZDv6RsJrv

    17K1.2K4588820K viewsView on X
  • Sep 1, 202516x their median

    Airbnb co-founder @jgebbia explains how Joe Biden's border crisis was the start of what drove him to leave the Democrat Party. https://t.co/Kdzn8mBk0w

    13K2.2K56822312M viewsView on X
  • Apr 19, 202215x their median

    Never forget who lied, who complied, and who defied.

    12K2.4K29894View on X
  • Dec 9, 20257.4x their median

    COMING SOON. The return of Michelle Malkin and a new podcast series. #wrongfulconvictions #freedanielholtzclaw #freeraymullins #CORRUPTAHOMA https://t.co/PzovBYCebn

    6.4K60927542821K viewsView on X
  • Jan 19, 20266.3x their median

    2016 trend? How about *2006* trend? 20 years ago, I founded Hot Air, the first conservative Internet daily broadcast website. Self-funded. Fiercely independent. 3-minute Adobe Flash video segments taped in my basement would take all night long to render. The first Iphone wouldn't be released until 14 months after we launched. Yes, too ahead of its time. Such is my fate...

    5.5K48028031257K viewsView on X
  • Feb 3, 20265.5x their median

    Can’t stop fighting! https://t.co/4yebLhm6BC

    4.2K9632623298K viewsView on X
  • Jan 16, 20264.7x their median

    Act II. Stay tuned. https://t.co/U9j00T5HTs

    3.8K43737861221K 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

#corruptahoma

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 990 interactions against 1.9M followers, an engagement rate of 0.052%. Posts are seen about 33K times each, and 3.04% of those impressions turn into an interaction. That is about 1.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 71K interactions, about 72x its own typical post. Only 2 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 Michelle Malkin's engagement rate on X?
Michelle Malkin (@michellemalkin) has an engagement rate of 0.052%, based on the median interactions across 2 original posts from the last 30 days against 1,914,909 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.052%, Michelle Malkin sits above the 50th percentile of the 10,151 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 @michellemalkin have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @michellemalkin post?
Most posts go out around 17:00 UTC, and Sunday is its busiest day, at roughly 0.17 posts per day across the measured window.

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