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Ronan Farrow engagement report

@RonanFarrow - 970K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Per follower
0.271%
of 970K followers
Per impression
4.86%
54K views on a typical post
Reach
5.57%
of its followers see a post
Typical post
2.6K
interactions (median)
Saved
0.473%
256 bookmarks on a typical post
Posting rate
0.23/day
active 10% 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 2.6K interactions against 970K followers, an engagement rate of 0.271%. Posts are seen about 54K times each, and 4.86% of those impressions turn into an interaction. That is about 5.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 10% 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% carry an image or video and 100% are part of a thread. The account's strongest tracked post pulled 45K interactions, about 17x 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 12, 2026.

Where this sits in the catalog

At 0.271%, Ronan Farrow sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 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 percentile0.678%
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 480 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

  • Apr 6, 202617x their median

    (🧵1/11) For the past year and a half, I've been investigating OpenAI and Sam Altman for @NewYorker. With my coauthor @andrewmarantz, I reviewed never-before-disclosed internal memos, obtained 200+ pages of documents related to a close colleague, including extensive private notes, and interviewed more than 100 people. OpenAI was founded on the premise that A.I. could be the most dangerous invention in human history—and that its C.E.O. would need to be a person of uncommon integrity. We lay out the most detailed account yet of why Altman was ousted out by board members and executives who came to believe he lacked that integrity, and ask: were they right to allege that he couldn't be trusted? A thread on some of of our findings:

    36K7.8K5636198.5M viewsView on X
  • Jul 7, 202611x their median

    Studies now present a striking picture of what happens when private equity firms acquire hospitals and nursing homes: predictable increases in harm and deaths. One landmark study shows: patient deaths up about 11% after such acquisitions. https://t.co/N6yfXJQIwW

    21K8.2K388383622K viewsView on X
  • Apr 6, 20269.5x their median

    The reporting on OpenAI and Sam Altman that I've been working on for the past year and a half, for @NewYorker, with @andrewmarantz: https://t.co/HEPHN4E54P

    20K3.9K54029142M viewsView on X
  • Feb 4, 20264.8x their median

    For nearly a year, the administration has said that DOGE had no unauthorized access to your Social Security data. A new government filing admits that was false. https://t.co/6SionyJIss

    14K6.0K346228214K viewsView on X
  • Feb 11, 20262.4x their median

    (1/10 🧵) If you live in NY, you may see a new warning: “THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA.” This mandatory disclosure went into effect late last year, and it’s the first attempt by a US state to grapple with a new generation of surveillance pricing. https://t.co/LMSktFeEoN

    9.4K2.5K90168375K viewsView on X
  • Feb 12, 20261.9x their median

    Since so many of you responded to my thread about surveillance pricing—here's a full breakdown, with visuals, on how companies use your personal data to manipulate prices in real-time: https://t.co/4gJDRNscso

    7.1K2.4K94106295K viewsView on X
  • Apr 21, 20262.6x their median

    When Sam Altman was reinstated at OpenAI after an outside law firm investigation, no report about what was found was ever released. That’s because none was written. More in my full @NewYorker investigation: https://t.co/HEPHN4E54P https://t.co/TH8ne6Ntfg

    5.2K1.5K7731223K viewsView on X
  • May 1, 20262.2x their median

    Yesterday, a federal judge barred Elon Musk's lawyers from arguing that AI could threaten humanity in his lawsuit against OpenAI. OpenAI was founded as a nonprofit focused on developing AI safely. But our recent @NewYorker investigation documented how some researchers at the company have raised concerns about safety being sidelined.

    4.4K1.3K13657256K viewsView on X
  • Jun 16, 20262.2x their median

    Ring, Amazon's doorbell camera company, says its tech just makes neighborhoods safer. Critics contend that it’s the largest privately owned surveillance dragnet in US history, with significant potential for abuse. https://t.co/vk56ZJAkPq

    4.1K1.5K6436105K viewsView on X
  • Aug 19, 20261.9x their median

    Nearly ten million American kids live below the poverty line. There's a proven fix: the expanded Child Tax Credit, which in 2021 helped cut child poverty nearly in half, the lowest rate on record. Congress let that expansion expire, and the bill to bring it back has been stalled for more than a year.

    3.6K1.4K433252K 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 2.6K interactions against 970K followers, an engagement rate of 0.271%. Posts are seen about 54K times each, and 4.86% of those impressions turn into an interaction. That is about 5.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 10% 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% carry an image or video and 100% are part of a thread. The account's strongest tracked post pulled 45K interactions, about 17x 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 Ronan Farrow's engagement rate on X?
Ronan Farrow (@RonanFarrow) has an engagement rate of 0.271%, based on the median interactions across 2 original posts from the last 30 days against 970,482 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.271%, Ronan Farrow sits above the 50th percentile of the 205,374 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 @RonanFarrow have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @RonanFarrow post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 0.23 posts per day across the measured window.

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