15 measurements spanning 15 days, net +214. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 24,666–24,944 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Sept 2026, 11:56
24,912
+21
2 Sept 2026, 02:48
24,891
+7
1 Sept 2026, 03:45
24,884
+19
31 Aug 2026, 04:28
24,865
+5
30 Aug 2026, 04:45
24,860
-3
29 Aug 2026, 07:34
24,863
-6
28 Aug 2026, 09:16
24,869
+13
27 Aug 2026, 05:43
24,856
+35
26 Aug 2026, 05:15
24,821
+17
25 Aug 2026, 04:32
24,804
+14
23 Aug 2026, 23:55
24,790
+25
22 Aug 2026, 07:19
24,765
+26
20 Aug 2026, 23:05
24,739
+19
20 Aug 2026, 00:15
24,720
+22
19 Aug 2026, 06:31
24,698
first reading
Engagement
34 posts held, back to 20 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.2%
avg views ÷ 24,912 subscribers
Avg views / post
6,040
20 posts measured
Reaction rate
0.234%
reactions ÷ views · ER floor
Posts in window
20
of 34 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
34 (20 July 2026 – 28 August 2026)
Views total
120,770
Reactions total
283
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:37 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
424 reactions across 32 posts, in 7 distinct kinds. The most used accounts for 85.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
361
85.1%
🔥
27
6.37%
👍
14
3.30%
🍾
12
2.83%
🫡
7
1.65%
🤣
2
0.472%
👏
1
0.236%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 33 of the 34 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 424 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 20 July 2026 to 28 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Hi,
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The place of supply amendment section 13(8) is not applicable for Nov26 exams.
It will apply from May27 onwards exam
So you should see the earlier revision video which was uploaded for May26 only
Verison 9 is fully updated for your Nov26 exam. It is not covering the 13(8) amendment as I was skeptical about its applicability
Full course customs marathon tomorrow morning 7.30 am on youtube. expected duration of session - 4.5 hours covering entire customs. the session will stay on youtube after we finish live. Hinglish language
Showing the 12 most recent of 34 posts we hold for @fastidt. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Akshansh Garg - CA Final IDT @akshanshgarg · 39,438 Telegram ranks this channel #6 of 75 here — alongside 74 others — read 30 August 2026
CA Yash Khandelwal-Direct Tax @yashkhandelwaldt · 45,171 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 27 August 2026
PRATIK JAGATI FR & AFM @pratikjagati · 56,323 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 23 August 2026
CA Final with Ankush Chirimar Classes ♥️ @ankushchirimar1 · 36,667 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 1 September 2026
CA Aakash Kandoi - FRWITHAK @aakashkandoi_FR · 105,490 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 19 August 2026
CA FINAL AFM & SCPM BY CA SANKALP KANSTIYA @cafinalsankalpcosting · 55,976 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 23 August 2026
CA Hemant somani | AIR 46 @cahemantsomani · 46,229 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 27 August 2026
AIR1CA Guidance & Notes - By Atul & Ajay @air1ca · 154,313 Telegram ranks this channel #16 of 93 here — alongside 92 others — read 19 August 2026
CA Rohit Chipper AIR 17 @carohitchipper · 43,255 Telegram ranks this channel #19 of 87 here — alongside 86 others — read 28 August 2026
CA BHAVIK CHOKSHI - Final FR/AFM @bhavikFRSFM · 42,501 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 29 August 2026
Clear CA with Shubham Keswani @ClearCAWithSK · 113,744 Telegram ranks this channel #32 of 89 here — alongside 88 others — read 19 August 2026
Bhanwar Borana (BB)- Direct Tax @BBSIRDT · 203,584 Telegram ranks this channel #35 of 90 here — alongside 89 others — read 19 August 2026
CA. Jai Chawla @CAJaiChawla · 50,147 Telegram ranks this channel #47 of 91 here — alongside 90 others — read 26 August 2026
CA Harsh Gupta (HG Virtuals)⚖️ @CA_Law_HarshGupta · 42,688 Telegram ranks this channel #48 of 87 here — alongside 86 others — read 29 August 2026
CA Vijay Sarda-Romancing the Taxation @cavijaysarda · 55,393 Telegram ranks this channel #50 of 90 here — alongside 89 others — read 23 August 2026
EDU91 @neerajaroraclasses · 51,531 Telegram ranks this channel #73 of 88 here — alongside 87 others — read 24 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“CA Riddhi Baghmar” (@fastidt), 24,912 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/fastidt.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.