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Richard Dawkins Foundation for Reason & Science engagement report

@rdfrs - 93K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Per follower
0.018%
of 93K followers
Per impression
0.907%
1.9K views on a typical post
Reach
2.02%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.027%
0 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
16:00 UTC
Monday

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 17 interactions against 93K followers, an engagement rate of 0.018%. Posts are seen about 1.9K times each, and 0.907% of those impressions turn into an interaction. That is about 2.02% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 1.6K interactions, about 92x 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 September 19, 2026.

Where this sits in the catalog

At 0.018%, Richard Dawkins Foundation for Reason & Science sits above the 10th percentile of the 205,676 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%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,676 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.679%
90th percentile2.56%
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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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.
  • 100% 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 436 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

  • Feb 6, 202692x their median

    "You don’t 'observe' the Earth orbiting the Sun. You infer it from evidence. Evolution works the same way." — @RichardDawkins, Darwin Day Q&A https://t.co/Cg2Wr8DLqA

    1.2K18314118139K viewsView on X
  • Mar 6, 202622x their median

    Sam Harris will receive the 2026 Richard Dawkins Award. @RichardDawkins will present it on April 18, followed by a conversation between them. For anyone who remembers the early New Atheism debates, this should be an interesting one: https://t.co/0Q3viunLjO https://t.co/1e4sYszQh8

    28226422333K viewsView on X
  • Mar 25, 202617x their median

    Fifty years ago, The Selfish Gene reframed how we understand life. Think like a gene, and suddenly things click: why bats share blood, why viruses spread, why life behaves the way it does. Still one of the most useful lenses evolution ever gave us: https://t.co/tvyOgaDkkl

    2165512913K viewsView on X
  • Feb 13, 202616x their median

    Careful observation. Evidence over authority. Still a good standard. Happy Darwin Day. https://t.co/4DbMWotqac

    21947934.9K viewsView on X
  • Jun 17, 20263.4x their median

    "@RichardDawkins now calls himself a cultural Christian." The headline surprised people, but the explanation shouldn't. You can inherit a culture without accepting its beliefs. That's his argument in this new essay: https://t.co/3QBeS6JixG And yes... he's still an atheist. https://t.co/dwYEDsbYPF

    35571010K viewsView on X
  • Feb 18, 20262.2x their median

    The Center for Inquiry is excited to announce that SAM HARRIS has been selected to receive the 2026 Richard Dawkins Award. Read the full announcement here: https://t.co/9ys3ForstZ

    352101.4K viewsView on X
  • Mar 12, 20262.1x their median

    Some critics say atheism is incomplete because it doesn’t tell us how to live. @RALindsay argues that atheism’s honesty about human responsibility may be exactly what some find unsettling. Worth a read. From @FreeInquiry: https://t.co/KHV74ZGHjA https://t.co/uaSWzsISRd

    253701.9K viewsView on X
  • Aug 31, 2026

    We find ourselves surrounded by examples of the dangers involved when policymakers take action without understanding (or even caring to understand) what the evidence says will result. The antidote to this is not despair or surrender. It’s to rededicate ourselves to the concept of lifelong learning. To be open to new evidence and able to prioritize that evidence over our emotions and “gut instincts.” And to help others understand that, as Richard Dawkins stated, science is “the only reliable path to understanding the universe in which we briefly reside.” https://t.co/qTQy3nOzT8

    167202.6K viewsView on X
  • Apr 8, 2026

    You didn’t choose what you just thought. Your brain did and told you after. @Evolutionistrue argues that the kind of free will most people believe in is an illusion: https://t.co/ZvZZJNHUxN https://t.co/m24ztzLlzE

    112721.6K viewsView on X
  • Feb 26, 2026

    From the newsletter: "We know that the power of science is its ability to help us see and understand the world as it is. The Richard Dawkins Foundation for Reason & Science is home to a vibrant community of people committed to understanding (and improving) the world on its own empirical terms, and I am grateful to have you with us to support that work." https://t.co/GhNeKyysAC

    170101.4K 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 17 interactions against 93K followers, an engagement rate of 0.018%. Posts are seen about 1.9K times each, and 0.907% of those impressions turn into an interaction. That is about 2.02% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 1.6K interactions, about 92x 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 Richard Dawkins Foundation for Reason & Science's engagement rate on X?
Richard Dawkins Foundation for Reason & Science (@rdfrs) has an engagement rate of 0.018%, based on the median interactions across 2 original posts from the last 30 days against 92,737 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Richard Dawkins Foundation for Reason & Science sits above the 10th percentile of the 205,676 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 @rdfrs have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @rdfrs post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.07 posts per day across the measured window.

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