Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
45 measurements spanning 76 days, net +4,569. 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 60,413–66,352 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)
Subscribers
Change
22 Oct 2026, 19:58
65,667
+9
21 Oct 2026, 18:48
65,658
+18
20 Oct 2026, 11:37
65,640
+12
19 Oct 2026, 13:08
65,628
+16
18 Oct 2026, 13:19
65,612
+21
17 Oct 2026, 10:44
65,591
+28
16 Oct 2026, 10:41
65,563
+27
15 Oct 2026, 13:37
65,536
+21
14 Oct 2026, 10:45
65,515
+30
12 Oct 2026, 21:50
65,485
+72
8 Oct 2026, 12:21
65,413
+134
4 Oct 2026, 01:58
65,279
+297
25 Sept 2026, 05:56
64,982
+390
17 Sept 2026, 05:41
64,592
+108
15 Sept 2026, 02:37
64,484
+47
13 Sept 2026, 13:58
64,437
+16
11 Sept 2026, 21:37
64,421
+372
9 Sept 2026, 07:57
64,049
+915
5 Sept 2026, 23:40
63,134
+64
4 Sept 2026, 00:00
63,070
first reading
Engagement
219 posts held, back to 6 August 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 155 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.9%
avg views ÷ 65,667 subscribers
Avg views / post
16,400
31 posts measured
Reaction rate
1.03%
reactions ÷ views · ER floor
Posts in window
31
of 219 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 23 October 2026
Posts held
219 (6 August 2026 – 23 October 2026)
Views total
506,870
Reactions total
5,196
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Oct 2026, 07:05 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.
What this channel posts
Photos
635
Videos
3
Links
655
Lifetime counters from Telegram’s own channel header, read 23 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
30,624 reactions across 218 posts, in 28 distinct kinds. The most used accounts for 75.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
23,044
75.2%
👍
1,557
5.08%
🤣
1,122
3.66%
🙏
821
2.68%
🤯
812
2.65%
😁
428
1.40%
🔥
401
1.31%
💯
339
1.11%
🫡
293
0.957%
🍾
247
0.807%
❤🔥
165
0.539%
🥰
155
0.506%
☃
128
0.418%
🤔
126
0.411%
✍
113
0.369%
🏆
110
0.359%
😱
110
0.359%
🤓
99
0.323%
👀
96
0.313%
🤩
94
0.307%
8 further kinds
364
1.19%
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 218 of the 219 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 30,624 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 219 most recent posts we hold, published 6 August 2026 to 23 October 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.
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Showing the 12 most recent of 219 posts we hold for @clearcainterwithsk. 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.
Posts edited after publishing
@clearcainterwithsk edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
2 September 2026
Polls
The 6 most recent of 37 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 219 most recent posts we hold, published 6 August 2026 to 23 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
For Jews and For Israel 🇮🇱💯😍 @JewsIsrael · 4,709#90
Read from Telegram’s recommendation API, most recently 22 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
CA Inter with Aakash Kandoi😎 @aakashkandoicainter · 85,156 Telegram ranks this channel #1 of 63 here — alongside 62 others — read 19 August 2026
Clear CA with Shubham Keswani @ClearCAWithSK · 117,793 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 19 August 2026
CA Rishabhh Jainn - CA Inter Audit & SM @CARishabhJain · 70,593 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 20 August 2026
CA Inter Audit Notes By CA Kapil Goyal @CAKapilGoyalAuditNotes · 26,868 Telegram ranks this channel #6 of 85 here — alongside 84 others — read 11 September 2026
CA Kapil Goyal - caindia.org @auditwithkapil · 53,509 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 24 August 2026
CA INTER GROUP STUDY🔥 @CAINTERGROUPSTUDY · 19,635 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 30 September 2026
Swapnil Patni's classes @swapnilpatniclasses · 73,299 Telegram ranks this channel #8 of 89 here — alongside 88 others — read 19 August 2026
CA Inter with Your CA Buddy @therankerwayinter · 105,802 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 19 August 2026
EDU91 @neerajaroraclasses · 50,537 Telegram ranks this channel #9 of 88 here — alongside 87 others — read 24 August 2026
CA Hemant somani | AIR 46 @cahemantsomani · 47,864 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 27 August 2026
Bhanwar Borana (BB)- Direct Tax @BBSIRDT · 206,909 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 19 August 2026
CA Final & CA Inter Audit | Auditguru | Mentorship | CA Ravi Taori @AuditGuru · 29,196 Telegram ranks this channel #11 of 86 here — alongside 85 others — read 8 September 2026
CA Harsh Gupta (HG Virtuals)⚖️ @CA_Law_HarshGupta · 44,293 Telegram ranks this channel #15 of 87 here — alongside 86 others — read 29 August 2026
CA NAMIT ARORA (NAMIT ARORA CLASSES) @namitaroraclasses · 47,741 Telegram ranks this channel #15 of 80 here — alongside 79 others — read 27 August 2026
CA NOTES COMMUNITY @CANOTESCOMMUNITY · 36,266 Telegram ranks this channel #16 of 74 here — alongside 73 others — read 1 September 2026
CA Final with Ankush Chirimar Classes ♥️ @ankushchirimar1 · 38,226 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 1 September 2026
CA RAHUL GARG (RSA) @carahulgargrsa · 30,951 Telegram ranks this channel #17 of 84 here — alongside 83 others — read 6 September 2026
CA INTER LEGENDS 🔥 💯 @CAInterLegends · 23,254 Telegram ranks this channel #21 of 84 here — alongside 83 others — read 18 September 2026
CA Inter by CA. Jai Chawla 🎯 @CAJaiChawla · 49,106 Telegram ranks this channel #21 of 91 here — alongside 90 others — read 26 August 2026
CA New Course 2026 @canewcourse · 31,112 Telegram ranks this channel #23 of 74 here — alongside 73 others — read 5 September 2026
CA Sarthak Niraj Jain @sjfasteducation · 27,254 Telegram ranks this channel #26 of 86 here — alongside 85 others — read 12 September 2026
Chartered studies @chartered_studies · 101,752 Telegram ranks this channel #26 of 81 here — alongside 80 others — read 19 August 2026
💡Vsmart Academy Official @vsmartacademyofficial · 35,888 Telegram ranks this channel #29 of 64 here — alongside 63 others — read 2 September 2026
The Institute of Chartered Accountants of India, ICAI @theicai · 103,926 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 19 August 2026
This channel appears in 35 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 22 October 2026 — this
entry's latest reading, not the date you are reading this.
“Clear CA Inter with Shubham Keswani” (@clearcainterwithsk), 65,667 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/clearcainterwithsk.
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.