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Amitav Ghosh engagement report

@GhoshAmitav - 450K followers on X

Measured over 3 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Per follower
0.584%
of 450K followers
Per impression
2.52%
104K views on a typical post
Reach
23.2%
of its followers see a post
Typical post
2.6K
interactions (median)
Saved
0.365%
381 bookmarks on a typical post
Posting rate
1.43/day
active 30% of days
Peak time
03:00 UTC
Friday

Early reading. We have captured 3 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 450K followers, an engagement rate of 0.584%. Posts are seen about 104K times each, and 2.52% of those impressions turn into an interaction. That is about 23.2% 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 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Friday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video and 67% link out. The account's strongest tracked post pulled 18K interactions, about 6.7x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on August 29, 2026.

Where this sits in the catalog

At 0.584%, Amitav Ghosh sits above the 75th percentile of the 37,856 accounts in this comparison. That places it in the top 25% band, which runs 0.439% to 2.10%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99155.6%
Engagement rate as a share of followers, across the 37,856 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 97,248 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile155.6%

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 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.

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 6%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%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
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%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 20266.7x their median

    Sicily has a four-legged early warning system for Mount Etna. It has a beard, it eats gorse, and it is beating several million euros of monitoring equipment by half a day. The shepherds have known this for as long as anyone has kept goats on that mountain. The herd tells you. No drama about it, no bleating, no rearing up and pointing at the summit. They simply decline to go up the hill that morning, and if the goats will not go up, neither do you. Oldest volcano warning system in Europe. Costs nothing. Runs on scrub. For most of history the scientific response to this has been a polite nod and a change of subject. Then in 2011 a German turned up with a box of trackers. Martin Wikelski of the Max Planck Institute of Animal Behaviour has an unfashionable habit of asking local people what they already know before deciding they are simple. He collared goats living year-round on the slopes and started logging where they went, and when, and how fast. On 4 January 2012 the data went peculiar. The animals turned down the high pastures they use every day of their lives, all of them, and headed for the trees. The seismometers were quiet. The gas monitors were quiet. In a control room in Catania, a great deal of very expensive equipment was reporting a perfectly ordinary Wednesday. That evening Etna started throwing lava and ash into the sky. Six hours. The same signature has now turned up before eight major eruptions, and at the extreme the goats move fourteen hours ahead of the mountain. Ahead of the tremor. Ahead of the gas. Ahead of everything the volcanologists are paid to watch. Nobody knows how they do it. The best guess is sulphur dioxide and hydrogen sulphide venting beforehand at concentrations no human nose could ever find, which would mean the animals are smelling the future and declining to comment. Wikelski's own summary is that they know in advance, we have no idea how, but they do. The institute says there is not yet enough data for a formal warning system. More eruptions, more animals, more species. Which is the correct scientific answer and a very funny one, since the shepherds reached sufficient confidence somewhere around the Bronze Age and have been acting on it every day since. Rome had geese who saved the city by making a racket when the Gauls came over the wall, and honoured them for it every year afterwards. Etna has their spiritual successors, doing the same job by refusing to walk uphill. We have a word in English for a man who behaves like a goat. It means he eats anything, wrecks anything, and understands nothing. The goat currently outperforms a seismograph.

    14K3.4K162201430K viewsView on X
  • Aug 21, 2026

    I have been stunned by the number of officials from a wide variety of countries who, while hardly favoring Iran or feeling much empathy for the Islamic Republic, have privately expressed to me a huge sigh of relief over Tehran’s success in thwarting US-Israeli aggression. So I decided to look into it a bit closer. Hint: It’s not about Iran. It’s the threats that an unchecked America poses to others https://t.co/7KUX3yu0Tl

    1.9K5767637104K viewsView on X
  • Aug 29, 2026

    '...even as world events have upended the Indian foreign policy consensus, a network of gatekeepers is stubbornly impervious to change.' A must-read piece. Read more at: https://t.co/eJoBsowxcL

    3511015.7K 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 2.6K interactions against 450K followers, an engagement rate of 0.584%. Posts are seen about 104K times each, and 2.52% of those impressions turn into an interaction. That is about 23.2% 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 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Friday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video and 67% link out. The account's strongest tracked post pulled 18K interactions, about 6.7x its own typical post. Only 3 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 Amitav Ghosh's engagement rate on X?
Amitav Ghosh (@GhoshAmitav) has an engagement rate of 0.584%, based on the median interactions across 3 original posts from the last 30 days against 449,705 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.584%, Amitav Ghosh sits above the 75th percentile of the 37,856 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 @GhoshAmitav have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @GhoshAmitav post?
Most posts go out around 03:00 UTC, and Friday is its busiest day, at roughly 1.43 posts per day across the measured window.

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