Noah Smith ๐๐บ๐ธ๐บ๐ฆ๐น๐ผ engagement report
@Noahpinion - 907K followers on X
Measured over 56 original posts from a 30-day window, last computed on August 29, 2026.
Engagement
A typical post picks up 528 interactions against 907K followers, an engagement rate of 0.059%. Measured over 56 original posts, its engagement rate beats 64% of 3,882 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 94K times each, and 0.562% of those impressions turn into an interaction. That is about 10.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 56 posts sampled, 41% carry an image or video and 36% link out. The account's strongest tracked post pulled 15K interactions, about 29x its own typical post.
Measured over 56 original posts from a 30-day window, last computed on August 29, 2026. Recurring tag: #breaking.
Compared with accounts its own size
Noah Smith ๐๐บ๐ธ๐บ๐ฆ๐น๐ผ's engagement rate beats 64% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 9 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 36% 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 0.059%, Noah Smith ๐๐บ๐ธ๐บ๐ฆ๐น๐ผ sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 158.1% |
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 18:00 UTC, and Friday 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% | 52K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 62K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 74K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 89K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -4% | 101K |
| 15:00 UTC | -2% | 104K |
| 16:00 UTC | -3% | 102K |
| 17:00 UTC | -3% | 94K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 68K |
| 22:00 UTC | -2% | 59K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 237K |
| Monday | 0% | 300K |
| Tuesday | -3% | 299K |
| Wednesday | -1% | 256K |
| Thursday | -1% | 249K |
| Friday | -3% | 258K |
| Saturday | +3% | 232K |
Best tweets
- Aug 21, 202629x their median
Itโs insane that a high intensity ground war has been going on in Europe for almost five years and people donโt really talk about it. https://t.co/re9lQCxbe9
- Aug 29, 202624x their median
People are asking how I predict things. Itโs very simple: You read history, and then you assume people are the same and historical events can still happen.
- Aug 21, 202623x their median
https://t.co/Bm37l5gwtE
- Aug 28, 202622x their median
FBI Reportedly Loosens Hiring Rules So โProstitution and Bestialityโ Are No Longer โAutomatic Disqualifiersโ https://t.co/k6ArzSUOjA
- Aug 21, 202621x their median
Donald Trump is responsible for 1/3 of the federal debt. The other 44 Presidents together equal the other 2/3
- Aug 21, 202619x their median
Since 1965, there have been 6 fiscal years when federal spending fell relative to the preceding year: ๐ต1965 - LBJ ๐ต2010 - Obama ๐ต2012 - Obama ๐ต2013 - Obama ๐ต2022 - Biden ๐ต2023 - Biden No Republican president in the last 60 years has cut spending vs. prior year. https://t.co/BMOK5aLr4X
- Aug 21, 202618x their median
i think AI is about to uncover an entire hidden world of animal communication and what it's already found is insane... > AI found evidence that elephants call each other by name. when researchers played one its name-like call, it approached the speaker faster and called back more, revealing a form of personal naming once thought almost uniquely human > AI analyzed 53,993 marmoset calls and found tiny monkeys may use names too. entire families use similar labels for the same monkey, suggesting they learn names and dialects from each other > AI learned to tell what Egyptian fruit bats were arguing about: food, mating, sleeping spots or personal space. it could even partly identify who was shouting at whom inside a colony of thousands > AI discovered a โphonetic alphabetโ in sperm whale clicks, with rhythm, tempo and tiny timing changes combining into at least 143 recurring patterns. their communication system is nearly 10x more expressive than scientists previously believed, and we still don't know what most of it means > an AI trained on 1.5 million zebra finch calls held real-time vocal exchanges with living birds, generating calls as they spoke and getting them to respond with the same timing and flexibility they use with other birds > Google trained an AI on decades of dolphin recordings to predict what sound comes next, then paired it with an underwater device that gives objects their own synthetic whistles. the goal is for a wild dolphin to copy a whistle to ask a human for a specific object, creating a tiny shared vocabulary between species > AI combined microphones worn by wild crows with nest cameras and uncovered quiet calls that may announce when a crow is arriving at the nest and help entire families coordinate caring for their chicks > a robot bee performed the waggle dance real bees use to share the direction and distance of food, and the bees changed their flight paths based on its instructions. researchers effectively sent a destination into a hive in bee language
- Aug 18, 20266.3x their median
New: Number of unmarried young men surging in๐บ๐ธ. Unmarried young men (20-39) now outnumber married men by nearly 2 to 1. Since 2000: โ๏ธUnmarried up 47% : 20.7M (2000) โ 30.4M (2025) โ๏ธMarried down 15%: 18.1M (2000) โ 15.4M (2025) https://t.co/xl9wHVFLIg
- Aug 21, 20265.6x their median
Fascinating study "Exposure to a disruptive peer in classes of 25 during elementary school reduces earnings at age 24 to 28 by 3 percent." Misbehaving students exact a measurable, economic cost on peers https://t.co/X41RU2LztO
- Aug 28, 20265.0x their median
Call it the backlash to the backlashโUnions and building trades say they will oppose candidates attacking data centers, putting Democrats and other long-term allies in a pickle. W/ @lindsayaellis: https://t.co/p2AEtv27iI
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 528 interactions against 907K followers, an engagement rate of 0.059%. Measured over 56 original posts, its engagement rate beats 64% of 3,882 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 94K times each, and 0.562% of those impressions turn into an interaction. That is about 10.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 56 posts sampled, 41% carry an image or video and 36% link out. The account's strongest tracked post pulled 15K interactions, about 29x its own typical post.
- What is Noah Smith ๐๐บ๐ธ๐บ๐ฆ๐น๐ผ's engagement rate on X?
- Noah Smith ๐๐บ๐ธ๐บ๐ฆ๐น๐ผ (@Noahpinion) has an engagement rate of 0.059%, based on the median interactions across 56 original posts from the last 30 days against 906,705 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.059%, Noah Smith ๐๐บ๐ธ๐บ๐ฆ๐น๐ผ sits above the 25th percentile of the 37,582 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 @Noahpinion have real engagement?
- Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (3,882 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 @Noahpinion post?
- Most posts go out around 18:00 UTC, and Friday is its busiest day, at roughly 4.8 posts per day across the measured window.