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Dr Swaiman Singh engagement report

@SinghSwaiman - 59K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Per follower
0.014%
of 59K followers
Per impression
1.54%
520 views on a typical post
Reach
0.88%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
02:00 UTC
Sunday

Early reading. We have captured 6 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 8 interactions against 59K followers, an engagement rate of 0.014%. Posts are seen about 520 times each, and 1.54% of those impressions turn into an interaction. That is about 0.885% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 542 interactions, about 68x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on October 3, 2026.

Where this sits in the catalog

At 0.014%, Dr Swaiman Singh sits above the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 223 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

  • Jul 28, 202668x their median

    “A garland from a poor Indian farmer weighed more than all the gold of the exploiters combined.” 2 Videos 5 Years Apart. I Never met Irfan. Only learned his name yesterday… but I know we’ll meet next time I’m in India. What a guy. Huge thanks to him for dropping by our camp https://t.co/Br0fuRNXvi

    445888113K viewsView on X
  • Sep 12, 202619x their median

    We’re always ready. But why mess with a hardworking group like the Singhs. Very inappropriate @DHSgov https://t.co/mfYN9U1MTf

    7096724.0K viewsView on X
  • Jul 25, 20268.3x their median

    We won with peace they lost with guns. https://t.co/KVMr0eoNRp

    579003.0K viewsView on X
  • Jun 30, 20264.4x their median

    I will be back. Thank you Punjab. No matter where I go, my heart stays right here. I will continue to work hard and build big for Punjab. A massive thank you to entire 5 heart team. each and every one of you. Team https://t.co/2B5ldnt482

    332001.4K viewsView on X
  • Jul 26, 20263.4x their median

    Ek Sardar j https://t.co/hDhx7c0q9j

    234003.1K viewsView on X
  • Sep 20, 20262.4x their median

    Our diversity is our strength. @UCDavisHealth HF team at SCAI Shock. Thank you to the organizers and @Babar_Basir @Allison_Dupont, @SandeepNathanMD for putting together such an outstanding event. Great learning, and even better time with the team building https://t.co/esPDcmuKjL

    144012.6K viewsView on X
  • Jul 25, 20262.3x their median

    Proud to join another peaceful protest. 5 Rivers Heart Association asks every member to stay united and support one another through these challenging times. https://t.co/renBsxj53e

    144001.8K viewsView on X
  • Aug 30, 20262.1x their median

    Nepal - This week, a glacial collapse sent catastrophic flash floods through the Bhote Koshi and Trishuli valleys in Nepal. Official figures now report more than 700 confirmed dead and roughly 2,500 still missing. Those numbers continue to change. 5Rivers Heart is with Nepal https://t.co/U8n3m2TmdS

    151101.2K viewsView on X
  • Jun 26, 20261.9x their median

    It’s on you - Punjab. Wake up #punjab https://t.co/gkCYMQEVs3

    10500353 viewsView on X
  • Jun 24, 20261.9x their median

    5 years back #pindcalifornia #delhi #punjab https://t.co/U65uTzu8QP

    12300456 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 8 interactions against 59K followers, an engagement rate of 0.014%. Posts are seen about 520 times each, and 1.54% of those impressions turn into an interaction. That is about 0.885% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 542 interactions, about 68x its own typical post. Only 6 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 Dr Swaiman Singh's engagement rate on X?
Dr Swaiman Singh (@SinghSwaiman) has an engagement rate of 0.014%, based on the median interactions across 6 original posts from the last 30 days against 58,737 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.014%, Dr Swaiman Singh sits above the 10th percentile of the 205,048 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 @SinghSwaiman have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @SinghSwaiman post?
Most posts go out around 02:00 UTC, and Sunday is its busiest day, at roughly 0.2 posts per day across the measured window.

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