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Byron York engagement report

@ByronYork - 582K followers on X

Measured over 38 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Middle of its size range
Per follower
0.029%
of 582K followers
Per impression
0.893%
19K views on a typical post
Reach
3.20%
of its followers see a post
Typical post
166
interactions (median)
Saved
0.029%
6 bookmarks on a typical post
Posting rate
2/day
active 43% of days
Peak time
01:00 UTC
Wednesday

A typical post picks up 166 interactions against 582K followers, an engagement rate of 0.029%. Measured over 38 original posts, its engagement rate beats 48% of 4,327 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 19K times each, and 0.893% of those impressions turn into an interaction. That is about 3.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 01:00 UTC, and Wednesday is the busiest day of the week. Of the 38 posts sampled, 29% carry an image or video, 5% are part of a thread and 84% link out. The account's strongest tracked post pulled 5.1K interactions, about 31x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on August 26, 2026.

Compared with accounts its own size

Byron York's engagement rate beats 48% of the tracked X accounts closest to it in follower count (4,327 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 49% 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 0.029%, Byron York sits above the 25th percentile of the 41,976 accounts in this comparison. That places it in the below the median band, which runs 0.013% to 0.083%.

p100.002%
p250.013%
p50 (median)0.083%
p750.448%
p902.08%
p99142.9%
Engagement rate as a share of followers, across the 41,976 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 84,062 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 percentile0.013%
50th percentile0.083%
75th percentile0.448%
90th percentile2.08%
99th percentile142.9%

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 01:00 UTC, and Wednesday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 01:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%59K
01:00 UTC-2%60K
02:00 UTC-3%58K
03:00 UTC-4%62K
04:00 UTC-6%50K
05:00 UTC-5%49K
06:00 UTC-5%56K
07:00 UTC-5%60K
08:00 UTC-4%70K
09:00 UTC-4%81K
10:00 UTC-3%83K
11:00 UTC-3%91K
12:00 UTC-2%100K
13:00 UTC-2%109K
14:00 UTC-3%113K
15:00 UTC-2%116K
16:00 UTC-3%113K
17:00 UTC-3%105K
18:00 UTC-2%98K
19:00 UTC-2%93K
20:00 UTC-1%87K
21:00 UTC-1%77K
22:00 UTC-2%66K
23:00 UTC-1%60K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%256K
Monday+1%328K
Tuesday-2%354K
Wednesday-4%320K
Thursday-2%271K
Friday-3%276K
Saturday+3%250K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 202631x their median

    Anti-Trump figures George Conway and Alexander Vindman apparently thought their status as stars of Resistance 1.0 meant that voters--Democratic voters--would support them for political office. Wrong. https://t.co/fNCfLFjNAk

    4.2K7741252833K viewsView on X
  • Aug 19, 20268.6x their median

    Looks like they've gotten all the money they can out of Netflix... https://t.co/pRHIssUqH5

    1.3K8980531K viewsView on X
  • Aug 21, 20268.1x their median

    Democratic voters reject Resistance stars. Conway, Vindman faceplanting with voters made clear that Resistance 1.0 magic did not work. In both Manhattan and Florida, Democratic voters just didn't care that a candidate had led one of the many unsuccessful efforts to drive Trump out of office from 2017 to 2021. That doesn't mean they like or support Trump; they absolutely don't. But it does mean that all the excitement that George Conway and Alexander Vindman and their allies stirred up in the wayback time of Trump I truly came to nothing. https://t.co/sYgHes71fV

    1.1K18238622K viewsView on X
  • Aug 15, 20267.6x their median

    A straight telling of the story makes Cambridge look really, really bad. https://t.co/zrbLAlELPH

    1.0K19549835K viewsView on X
  • Aug 14, 20267.4x their median

    The story Trump was touting this morning. A pretty good thing to be able to say as midterm campaigning accelerates. https://t.co/2W1w0NZRmE https://t.co/E6XkNvCDVR

    94626318621K viewsView on X
  • Aug 19, 20265.6x their median

    Trump is asking voters for time and patience on Iran. His pitch: The American economy was going gangbusters earlier this year when he reluctantly decided the US had to take a "journey" to Iran. Now asks voters to remember, when they "pay a tiny little bit more for your gasoline," that the purpose is to stop an evil regime from acquiring nuclear weapons. Still: "I'll never apologize. I did the right thing, but you could -- you know if you didn't have [the war] you'd be at, I mean, I had it down to below $2 in many states." https://t.co/j2WFX4Dzjc

    6198320727196K viewsView on X
  • Aug 19, 20265.0x their median

    "The loser here [Vindman] spent $2.2 million and the winner [Nixon] spent just $60,000, with zero spent on broadcast or cable." https://t.co/hMV1YevFX5 https://t.co/jNqHtwawfQ

    659109531320K viewsView on X
  • Aug 19, 20264.6x their median

    In Alaska, the fake, dirty-trick Dan Sullivan finished in third place and made it to the general election. https://t.co/4VIU0kgYqV https://t.co/WH4pVYZVeF

    54414469755K viewsView on X
  • Aug 17, 20263.0x their median

    What's worrying Democrats about Abdul el Sayed? Lots of things, but the biggest is that he could manage to alienate Democratic voters who can't stand Trump. He's creating double haters right and left. https://t.co/imMZKXR8Gh

    4107412218K viewsView on X
  • Aug 24, 20262.7x their median

    August 24, 2023, courtesy of the Fulton County Sheriff's Office. https://t.co/p7Jq69VuM1

    3356445917K 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 166 interactions against 582K followers, an engagement rate of 0.029%. Measured over 38 original posts, its engagement rate beats 48% of 4,327 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 19K times each, and 0.893% of those impressions turn into an interaction. That is about 3.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 01:00 UTC, and Wednesday is the busiest day of the week. Of the 38 posts sampled, 29% carry an image or video, 5% are part of a thread and 84% link out. The account's strongest tracked post pulled 5.1K interactions, about 31x its own typical post.

What is Byron York's engagement rate on X?
Byron York (@ByronYork) has an engagement rate of 0.029%, based on the median interactions across 38 original posts from the last 30 days against 581,765 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.029%, Byron York sits above the 25th percentile of the 41,976 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 @ByronYork have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (4,327 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 @ByronYork post?
Most posts go out around 01:00 UTC, and Wednesday is its busiest day, at roughly 2 posts per day across the measured window.

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