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Died Suddenly engagement report

@DiedSuddenly_ - 859K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Per follower
0.036%
of 859K followers
Per impression
0.863%
35K views on a typical post
Reach
4.14%
of its followers see a post
Typical post
306
interactions (median)
Saved
0.124%
44 bookmarks on a typical post
Posting rate
0.63/day
active 47% of days
Peak time
20:00 UTC
Thursday

Early reading. We have captured 7 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 306 interactions against 859K followers, an engagement rate of 0.036%. Posts are seen about 35K times each, and 0.863% of those impressions turn into an interaction. That is about 4.13% 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, with activity on roughly 47% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video, 14% are part of a thread and 43% link out. The account's strongest tracked post pulled 93K interactions, about 303x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 24, 2026.

Where this sits in the catalog

At 0.036%, Died Suddenly sits above the 25th percentile of the 204,956 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 20:00 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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 video57% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 57% 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.
  • 43% 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 438 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% 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 30, 2026303x their median

    Never forget the American who looked Fauci in the eye, refused the COVID vaccine, and called him out on camera. Still one of the ballsiest moments of the entire pandemic. https://t.co/TEVbvmIT3c

    77K13K2.1K9442.4M viewsView on X
  • Jul 27, 2026217x their median

    What Anthony Fauci looked like every night when he wrote about how great he is in his diary. https://t.co/KbPvbtyi7g

    56K7.2K2.8K7141.3M viewsView on X
  • Jul 15, 202664x their median

    Former YouTube CEO Susan Wojcicki admitted they deleted over a million COVID videos to silence anti-vax views. https://t.co/PeGYbASyX6

    14K5.2K408233539K viewsView on X
  • Aug 6, 202118x their median

    President Trump has taken the vaccine.  I’ve taken the vaccine.  If you are unvaccinated, I would encourage you to take the vaccine as well.

    8.5K1.6K4.8K942View on X
  • Jul 28, 202649x their median

    NEVER FORGET THE LARGEST PSYCHOLOGICAL OPERATION OF OUR LIFETIMES. https://t.co/oZToXSrMNk

    11K3.8K175183245K viewsView on X
  • Jul 12, 202639x their median

    The CEO of Flock Safety has labeled everyone opposed to Flock cameras “terrorist organizations” comparable to Antifa. That’s how they view regular Americans pushing back against mass surveillance. https://t.co/NgT0jO1okP

    8.5K2.1K1.0K248175K viewsView on X
  • Jul 13, 202639x their median

    🚨🚔 SAN FRANCISCO police were streaming LIVE drone surveillance through @SkydioHQ's OWN WEBSITE for 6 months! Arrests. Apartments. License plates. All public! 6 months of California police ops on the open internet! The CCP thanks you for your service. https://t.co/Y94l0QxpdM

    11K414631714M viewsView on X
  • Dec 19, 202013x their median

    Thank God for nurses who help people in need and know how to use a needle. Thank God for those who produced these vaccines. If enough of us take it, we will get back to normal lives. Help is on the way. https://t.co/XUWKm6H3QG

    4.8K4355.3K929View on X
  • Aug 3, 202637x their median

    Dana Bash: “Covid was a scary time.” RFK Jr.: “You were scaring people.” Bash: “Why are you saying that?” RFK: “Because that was the job of CNN. To put the chyrons up on how many people are dying to get people to believe a lie.” https://t.co/NB5ym3aUFD

    9.5K1.7K15538124K viewsView on X
  • Aug 5, 202625x their median

    A video of a downed Flock camera just hit nearly a million likes in a few days. That level of engagement tells you exactly how the public feels about these warrantless mass surveillance systems. https://t.co/fTbQB1iUCR

    6.9K73710626198K 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 306 interactions against 859K followers, an engagement rate of 0.036%. Posts are seen about 35K times each, and 0.863% of those impressions turn into an interaction. That is about 4.13% 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, with activity on roughly 47% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video, 14% are part of a thread and 43% link out. The account's strongest tracked post pulled 93K interactions, about 303x its own typical post. Only 7 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 Died Suddenly's engagement rate on X?
Died Suddenly (@DiedSuddenly_) has an engagement rate of 0.036%, based on the median interactions across 7 original posts from the last 30 days against 858,601 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.036%, Died Suddenly sits above the 25th percentile of the 204,956 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 @DiedSuddenly_ have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @DiedSuddenly_ post?
Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 0.63 posts per day across the measured window.

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