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Amitav Ghosh engagement report

@GhoshAmitav - 450K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Per follower
0.067%
of 450K followers
Per impression
1.68%
18K views on a typical post
Reach
4.01%
of its followers see a post
Typical post
302
interactions (median)
Saved
0.2%
36 bookmarks on a typical post
Posting rate
3.87/day
active 80% of days
Peak time
13:00 UTC
Sunday

Early reading. We have captured 7 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 302 interactions against 450K followers, an engagement rate of 0.067%. Posts are seen about 18K times each, and 1.68% of those impressions turn into an interaction. That is about 4.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video and 86% link out. The account's strongest tracked post pulled 18K interactions, about 58x its own typical post. Recurring topics include #coveranalyse, #soniagandhi. Only 7 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 7 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #coveranalyse, #soniagandhi.

Where this sits in the catalog

At 0.067%, Amitav Ghosh sits above the 25th percentile of the 201,985 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 201,985 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,906 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 percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 13:00 UTC, and Sunday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video43% of posts+111%+108% to +115%34K
Outbound link86% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 43% 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.
  • 86% 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 343 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 21, 202658x 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
  • Sep 7, 20269.2x their median

    In NYC Mayor Mamdani has launched the first-in-the-nation Office of Worker Power, to connect workers who want to unionize with education and resources. Former US Labor Sec Julie Su is overseeing the effort & the executive director comes from the UAW. https://t.co/dIQ4hTh6qF https://t.co/384Gqd2oDZ

    2.2K4553043260K viewsView on X
  • Aug 21, 20268.7x their median

    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

    1.9K5777637105K viewsView on X
  • Sep 15, 20267.7x their median

    A look at how technofascist AI warlord Alex Karp has embedded Palantir into the Ukrainian state, aiming to make it the first "agentic state" while watching it demographically collapse https://t.co/8bdhlf8yJF https://t.co/ZMeF75G36v

    1.7K5571856113K viewsView on X
  • Sep 6, 20263.3x their median

    Kolkata's first gallery dedicated to the history of its Chinese community has just opened in the city's old Chinatown, off Central Avenue. https://t.co/Q9l8ALvIPA

    78519012618K viewsView on X
  • Sep 6, 2026

    Debt Trap: Why the French Financial Crisis Will Be a Disaster for the Entire EU France is rapidly becoming the main debt problem in Europe, according to The Economist. Paris no longer has either a budget surplus or economic growth, and its national debt has already reached a catastrophic 118% of GDP. This threatens the stability of the entire European Union: Paris has accumulated the debts, but according to EU law, the entire union will have to bear the burden of solidarity. Moreover, other members of the eurozone are also deeply in debt. The situation is complicated by the fact that France has never been known for its strict financial discipline. Macron and his cabinet have long lived by the principle of "après nous, le déluge" (after us, the flood). And ordinary citizens of European countries will be forced to pay for this feast during the plague.

    21268101259K viewsView on X
  • Sep 7, 2026

    'Mumbai could be swallowed by the sea.' Ten years after I wrote about the incredible concentration of risks in Mumbai, I'm glad to see that the city's municipal corporation is trying to get a grip on the situation. https://t.co/9QB51XASsR

    9514347.9K viewsView on X
  • Sep 22, 2026

    Applications for the 2026 Stringer Foundation awards for journalists is now open. "The awards offer unrestricted funding for courageous journalists...The form can be filled out in any language and only takes a few minutes. All vetted applicants will receive access to technological safety tools, mental health education, writing, photography and other training opportunities." https://t.co/uIpNpOwYjw

    5733006.8K 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

    60195213K 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

#coveranalyse#soniagandhi

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 302 interactions against 450K followers, an engagement rate of 0.067%. Posts are seen about 18K times each, and 1.68% of those impressions turn into an interaction. That is about 4.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video and 86% link out. The account's strongest tracked post pulled 18K interactions, about 58x its own typical post. Recurring topics include #coveranalyse, #soniagandhi. Only 7 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 0.067%, based on the median interactions across 7 original posts from the last 30 days against 449,587 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.067%, Amitav Ghosh sits above the 25th percentile of the 201,985 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 13:00 UTC, and Sunday is its busiest day, at roughly 3.87 posts per day across the measured window.

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