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Dr Shahid Masood engagement report

@Shahidmasooddr - 473K followers on X

Measured over 30 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Middle of its size range
Per follower
0.012%
of 473K followers
Per impression
1.03%
5.5K views on a typical post
Reach
1.17%
of its followers see a post
Typical post
57
interactions (median)
Saved
0.045%
2 bookmarks on a typical post
Posting rate
1.43/day
active 40% of days
Peak time
03:00 UTC
Thursday

A typical post picks up 57 interactions against 473K followers, an engagement rate of 0.012%. Measured over 30 original posts, its engagement rate beats 37% of 20,182 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 5.5K times each, and 1.03% of those impressions turn into an interaction. That is about 1.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 03:00 UTC, and Thursday is the busiest day of the week. Of the 30 posts sampled, 47% carry an image or video and 53% link out. The account's strongest tracked post pulled 6.3K interactions, about 111x its own typical post. Recurring topics include #1950ai, #aiprivacy, #aisafety.

Measured over 30 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #1950ai, #aiprivacy, #aisafety.

Compared with accounts its own size

Dr Shahid Masood's engagement rate beats 37% of the tracked X accounts closest to it in follower count (20,182 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 48% 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 0.012%, Dr Shahid Masood sits above the 10th percentile of the 202,467 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.673%
p902.54%
p9982.6%
Engagement rate as a share of followers, across the 202,467 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,932 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 percentile0.142%
75th percentile0.673%
90th percentile2.54%
99th percentile82.6%

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 03:00 UTC, and Thursday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video47% of posts+111%+108% to +115%34K
Outbound link53% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 47% 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.
  • 53% 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 2042 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

  • Aug 31, 2026111x their median

    https://t.co/8inOzqMZpD

    5.1K818255148682K viewsView on X
  • Aug 28, 202651x their median

    Greens call for temporary ban on new data centres https://t.co/QSUhJ0lFGu

    2.3K29519262182K viewsView on X
  • Aug 19, 202636x their median

    Merck and Moderna announced Wednesday that a personalized mRNA-based cancer vaccine succeeded in a large, late-stage trial among high-risk patients with melanoma. https://t.co/nINwTQkipL

    1.5K3648768651K viewsView on X
  • Sep 20, 202621x their median

    BREAKING: Anthropic’s next Claude Opus model projected to be released by Thursday. 72% chance. https://t.co/OIXFgNGWK9

    1.1K657724106K viewsView on X
  • Aug 23, 20268.2x their median

    Amazon Buys Old Books, Scans Them for AI and Destroys the Originals Amazon is secretly purchasing thousands of physical books, severing their bindings, and scanning the pages to train its AI models before destroying them in a covert Las Vegas operation. https://t.co/snUfuH67N2

    310129141536K viewsView on X
  • Aug 18, 20267.2x their median

    Strong men do not surrender when hope disappears; they become the reason hope returns. — Old French Saying

    3316711412K viewsView on X
  • Aug 19, 20266.9x their median

    An experimental cancer vaccine kept melanoma from coming back. It’s the first successful late-stage mRNA study validating decades of custom-treatment research https://t.co/o8ODLb7g4F

    315491611129K viewsView on X
  • Aug 21, 20266.1x their median

    Beware of the man who asks for nothing; he often plans to take everything.➖️ Niccolò Machiavelli

    281558115K viewsView on X
  • Aug 15, 20265.8x their median

    What if consciousness isn’t produced by the brain? Neuroscientist and theoretical physicist Àlex Gómez-Marín proposes that the brain filters or permits, rather than creates, consciousness. Tracing a provocative history from Galileo to modern consciousness science, he argues that scientific progress came by prioritising what can be measured, leaving inner experience behind. Using his own near-death experience and cases like terminal lucidity, he calls for a more open, rigorous “Science 2.0” that takes anomalous experiences seriously. Tap the link to watch the full talk. https://t.co/qDXpUbdMHf

    23853241312K viewsView on X
  • Oct 17, 20264.4x their median

    🚨 OIL JUST HIT $110. AND THE WORLD COULD PAY THE PRICE. Brent crude has surged to $109.86 as attacks near the Strait of Hormuz and Ukrainian strikes on Russian refineries reignite fears of a global supply shock. Here’s what matters: 🛢️ Brent crude: +4.9% for the week 🔥 WTI crude: +10% for the week 🚢 Oil flows through Hormuz: down to roughly 70% of pre-conflict levels ⛽ U.S. gasoline: $4.33/gallon ⚠️ Diesel: $6.32/gallon This is bigger than an oil-price rally. When supply routes are threatened, refineries are hit, and geopolitical tensions escalate, energy becomes more expensive and the pain spreads. Higher oil prices can fuel inflation, raise transportation costs, squeeze businesses, and complicate central banks’ efforts to cut interest rates. That creates a difficult equation for markets: 📈 Oil producers could benefit. 📉 Airlines, transport companies, and energy-intensive businesses could face pressure. 💸 Consumers may pay more at the pump. ⚡ Investors could face renewed volatility across global markets. And here’s the biggest risk: if disruptions persist around Hormuz while Russian refining capacity remains under pressure, the supply squeeze could deepen. Oil at $110 is the warning. What happens next depends on how far this conflict escalates. The question is no longer just how high oil can go. It’s how much damage expensive energy could do to the global economy. Are we heading toward another inflation shock, or will diplomacy cool the oil rally?

    1221242216K 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.

Recurring topics

#1950ai#aiprivacy#aisafety#cybersecurity#geoffreyhinton

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 57 interactions against 473K followers, an engagement rate of 0.012%. Measured over 30 original posts, its engagement rate beats 37% of 20,182 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 5.5K times each, and 1.03% of those impressions turn into an interaction. That is about 1.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 03:00 UTC, and Thursday is the busiest day of the week. Of the 30 posts sampled, 47% carry an image or video and 53% link out. The account's strongest tracked post pulled 6.3K interactions, about 111x its own typical post. Recurring topics include #1950ai, #aiprivacy, #aisafety.

What is Dr Shahid Masood's engagement rate on X?
Dr Shahid Masood (@Shahidmasooddr) has an engagement rate of 0.012%, based on the median interactions across 30 original posts from the last 30 days against 472,995 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%, Dr Shahid Masood sits above the 10th percentile of the 202,467 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 @Shahidmasooddr have real engagement?
Its engagement rate beats 37% of the tracked X accounts closest to it in follower count (20,182 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 @Shahidmasooddr post?
Most posts go out around 03:00 UTC, and Thursday is its busiest day, at roughly 1.43 posts per day across the measured window.

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