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Nicholas A. Christakis engagement report

@NAChristakis - 185K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Per follower
0.006%
of 185K followers
Per impression
0.137%
7.7K views on a typical post
Reach
4.13%
of its followers see a post
Typical post
10
interactions (median)
Saved
0.046%
4 bookmarks on a typical post
Posting rate
0.37/day
active 27% of days
Peak time
15:00 UTC
Tuesday

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 10 interactions against 185K followers, an engagement rate of 0.006%. Posts are seen about 7.7K times each, and 0.137% 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 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 815 interactions, about 63x 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 October 14, 2026.

Where this sits in the catalog

At 0.006%, Nicholas A. Christakis sits above the 10th percentile of the 204,798 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 15:00 UTC, and Tuesday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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-no effect-2% to -1%42K
  • 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 279 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

  • Jun 19, 202663x their median

    Yale’s governing body, the Yale Corporation, counted zero registered Republicans among its membership. There was a similar divergence in political donations at Yale, with $5.8 million given to Democrats and just over $102,000 to Republicans, a 50 to 1 ratio. https://t.co/AbIfkV10Hu

    663103341554K viewsView on X
  • Aug 26, 202619x their median

    What role do social networks – and the precise nature and structure of social interactions – play in the production of public goods and in human welfare? What about social contagion? A thread on #HNL experiments with many thousands of participants from 2010 to the present. 1/ https://t.co/K81IjEqZ7K

    138423321K viewsView on X
  • Aug 6, 20264.7x their median

    Olfaction lacks a quantitative framework similar to vision and hearing. In new #HNL work in @PNASNews, we show that odor mixture perception can be predicted. This lays a foundation for digital olfaction, machine-readable smell metrics, next-generation electronic noses, and odor teleportation. https://t.co/mzRu8lBKGP

    405208.2K viewsView on X
  • Aug 13, 20261.7x their median

    In this issue: A wearable patch for monitoring Parkinson’s disease treatment, the effects of plant-based diets on gut bacterial metabolites, and thermal thresholds for lake ice cover decline. In PNAS: https://t.co/cuzYGJjdw7 https://t.co/dJbwupQei6

    123029.2K viewsView on X
  • Aug 28, 20261.6x their median

    Fine essay via @paulg "How Universities Should Prepare Founders": https://t.co/51222h8Y4O Would that universities would listen, as there would be other benefits to pedagogy, too. "The people you need to impress are users, not investors, and the way you impress them is with prototypes, not words. The core of starting a startup is not creating a story that appeals to investors, but creating a product that appeals to users."

    131206.3K viewsView on X
  • Sep 22, 2026

    In this mini-doc from For the Love of Science, Li Murphy talks about her incredible work studying swarms of Mormon crickets, with many insights into how to be a scientist and the joys and challenges it presents. Plus the science itself is incredibly cool. https://t.co/GBbAbhUGpP

    93008.1K viewsView on X
  • Jul 14, 2026

    On non-robotic imperfection and AI wabi sabi: https://t.co/8Sj7llyZ9f

    72204.2K viewsView on X
  • Jun 13, 2026

    "Scientists now link friendship to a remarkable range of benefits—both physical and mental: lower blood pressure, stronger immunity, reduced dementia risk, better sleep, and longer life. But technology and the pace of contemporary life threaten our ability to connect." https://t.co/in5VKUzPQM

    82102.4K viewsView on X
  • Sep 24, 2026

    Inside the Swarm New from For the Love of Science: Li Murphy talks about her incredible work on swarms of Mormon crickets, with many insights into how to be a scientist and the joys and challenges it presents. Plus the science itself is incredibly cool. https://t.co/GBbAbhU8Ah

    63007.3K viewsView on X
  • Aug 18, 2026

    New FLOS video: How to Assemble your Dissertation Committee: https://t.co/dWD1V2YEvI

    61107.7K 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 10 interactions against 185K followers, an engagement rate of 0.006%. Posts are seen about 7.7K times each, and 0.137% 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 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 815 interactions, about 63x 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 Nicholas A. Christakis's engagement rate on X?
Nicholas A. Christakis (@NAChristakis) has an engagement rate of 0.006%, based on the median interactions across 2 original posts from the last 30 days against 185,441 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Nicholas A. Christakis sits above the 10th percentile of the 204,798 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 @NAChristakis have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @NAChristakis post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 0.37 posts per day across the measured window.

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