The New York Times engagement report
@nytimes - 54M followers on X
Measured over 284 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 520 interactions against 54M followers, an engagement rate of 0.001%. Measured over 284 original posts, its engagement rate beats 12% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 255K times each, and 0.204% of those impressions turn into an interaction. That is about 0.473% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 13.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 284 posts sampled, 100% link out. The account's strongest tracked post pulled 26K interactions, about 50x its own typical post. Recurring topics include #iamjanedoe, #ice.
Measured over 284 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #iamjanedoe, #ice.
Compared with accounts its own size
The New York Times's engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 15% 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 0.001%, The New York Times sits below the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 14:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 4% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 4% 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 213 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
- Oct 7, 202650x their median
Margaret Hamilton, who led the 100-person team that wrote the onboard software for the Apollo missions, has died. https://t.co/vhkTLe9J4Z
- Oct 9, 202648x their median
Breaking News: The Nobel Peace Prize was awarded to Navi Pillay for her efforts to ensure that war crimes and genocide are prosecuted. https://t.co/XTm2PKQxTS
- Oct 20, 202643x their median
Breaking News: Michael Bloomberg, the billionaire and the former mayor of New York City, gave Democrats $80 million in a late push to help them take the House in the midterms, his team told The New York Times.
- Sep 11, 202642x their median
The contractor that renovated the Lincoln Memorial Reflecting Pool has told the Trump administration that errors in its own work and flaws in the repair plan, not vandalism, caused the pool’s new blue liner to peel and break loose, documents show. https://t.co/O2a2TRrSHd
- Oct 24, 202635x their median
Breaking News: Barack Obama forcefully criticized President Trump at a midterm rally, accusing him of historic “incompetence” in Washington. https://t.co/Oge53ANW1l
- Oct 16, 202630x their median
Breaking News: Rep. Alexandria Ocasio-Cortez transferred $1 million to Dr. Abdul El-Sayed, a progressive running for Senate in Michigan. The transfer represents a huge sum for a House member to give to a Senate race, especially one in a different state. https://t.co/vgwkd8YOGp
- Oct 5, 202627x their median
From @TheAthletic: LeBron James will make nearly four times as much promoting the Polymarket prediction market as he will from playing basketball. The deal may not break NBA rules, but it raises uncomfortable questions. https://t.co/zRVcnfdy17
- Sep 3, 202626x their median
Breaking News: Gloria Steinem, the feminist crusader who galvanized the modern women’s movement, challenged sexist assumptions and fought for gender equality, has died at 92. https://t.co/WOWaPBpero
- Sep 14, 202624x their median
Breaking News: The E.P.A. is said to be planning to announce that the U.S. will no longer limit climate pollution from power plants. https://t.co/AAvQwDUyIw
- Sep 23, 202623x their median
From @TheAthleticFC: England captain Harry Kane has raised the possibility that he could combine becoming a specialist NFL kicker with finishing his football career in Major League Soccer, playing the two sports simultaneously. https://t.co/LPjSmdpv7X
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 520 interactions against 54M followers, an engagement rate of 0.001%. Measured over 284 original posts, its engagement rate beats 12% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 255K times each, and 0.204% of those impressions turn into an interaction. That is about 0.473% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 13.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 284 posts sampled, 100% link out. The account's strongest tracked post pulled 26K interactions, about 50x its own typical post. Recurring topics include #iamjanedoe, #ice.
- What is The New York Times's engagement rate on X?
- The New York Times (@nytimes) has an engagement rate of 0.001%, based on the median interactions across 284 original posts from the last 30 days against 53,867,418 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, The New York Times sits below the 10th percentile of the 204,491 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 @nytimes have real engagement?
- Its engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @nytimes post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 13.7 posts per day across the measured window.