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#CAFinalAudit #CAInterAudit
Created
Between 1 February 2017 and 30 September 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated.
21 measurements spanning 24 days, net +14. 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 29,009–29,090 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
30 Aug 2026, 06:56
29,034
-12
29 Aug 2026, 06:47
29,046
-1
27 Aug 2026, 03:25
29,047
-9
26 Aug 2026, 03:03
29,056
-6
25 Aug 2026, 04:37
29,062
+3
24 Aug 2026, 04:58
29,059
+7
22 Aug 2026, 13:37
29,052
-8
21 Aug 2026, 01:53
29,060
+1
20 Aug 2026, 05:12
29,059
-1
19 Aug 2026, 07:05
29,060
-12
17 Aug 2026, 09:46
29,072
-9
15 Aug 2026, 16:58
29,081
+17
14 Aug 2026, 08:25
29,064
+11
12 Aug 2026, 22:55
29,053
+11
12 Aug 2026, 01:42
29,042
+1
11 Aug 2026, 00:22
29,041
+10
10 Aug 2026, 03:50
29,031
+7
8 Aug 2026, 03:57
29,024
+6
7 Aug 2026, 02:51
29,018
-2
6 Aug 2026, 14:30
29,020
first reading
Engagement
37 posts held, back to 12 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 51 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.5%
avg views ÷ 29,034 subscribers
Avg views / post
4,510
22 posts measured
Reaction rate
0.305%
reactions ÷ views · ER floor
Posts in window
22
of 37 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 29 August 2026
Posts held
37 (12 July 2026 – 29 August 2026)
Views total
99,110
Reactions total
302
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 19:39 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
≈1,720
Videos
≈79
Links
≈2,480
Lifetime counters from Telegram’s own channel header, read 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
583 reactions across 37 posts, in 10 distinct kinds. The most used accounts for 71.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
414
71.0%
👍
76
13.0%
🔥
40
6.86%
👏
33
5.66%
🤩
7
1.20%
💯
5
0.858%
⚡
3
0.515%
🎉
2
0.343%
🙏
2
0.343%
😁
1
0.172%
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 37 of the 37 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 583reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 12 July 2026 to 29 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.
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❤16🔥5👍1
Showing the 12 most recent of 37 posts we hold for @AuditGuru. 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
@AuditGuru edited 1 post 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
11 August 2026
Most recent edit
11 August 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 37 most recent posts we hold, published 12 July 2026 to 29 August 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.
Citation-graph rank
Citation-graph rank — 141,134 of 1,627,445entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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. Jai Chawla @CAJaiChawla · 49,872 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 26 August 2026
CA Divyesh Vaghela @Divyesh_Vaghela · 39,191 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 31 August 2026
CA Aakash Kandoi - FRWITHAK @aakashkandoi_FR · 105,169 Telegram ranks this channel #14 of 90 here — alongside 89 others — read 19 August 2026
CA Jobs, CA Articleship Vacancies & Placement @Jobs4CA · 43,846 Telegram ranks this channel #19 of 97 here — alongside 96 others — read 28 August 2026
CA Kapil Goyal - caindia.org @auditwithkapil · 54,435 Telegram ranks this channel #28 of 83 here — alongside 82 others — read 24 August 2026
CA Rohit Chipper AIR 17 @carohitchipper · 43,256 Telegram ranks this channel #29 of 87 here — alongside 86 others — read 28 August 2026
Clear CA Inter with Shubham Keswani @clearcainterwithsk · 62,848 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 22 August 2026
EDU91 @neerajaroraclasses · 51,605 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 24 August 2026
CA Rishabhh Jainn - CA Inter Audit & SM @CARishabhJain · 69,396 Telegram ranks this channel #31 of 77 here — alongside 76 others — read 20 August 2026
Bhanwar Borana (BB)- Direct Tax @BBSIRDT · 203,251 Telegram ranks this channel #38 of 90 here — alongside 89 others — read 19 August 2026
CA Hemant somani | AIR 46 @cahemantsomani · 46,051 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 27 August 2026
The Institute of Chartered Accountants of India, ICAI @theicai · 104,808 Telegram ranks this channel #44 of 89 here — alongside 88 others — read 19 August 2026
AIR1CA Guidance & Notes - By Atul & Ajay @air1ca · 154,338 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 19 August 2026
Clear CA with Shubham Keswani @ClearCAWithSK · 113,403 Telegram ranks this channel #47 of 89 here — alongside 88 others — read 19 August 2026
CA FINAL AFM & SCPM BY CA SANKALP KANSTIYA @cafinalsankalpcosting · 55,855 Telegram ranks this channel #48 of 84 here — alongside 83 others — read 23 August 2026
CA Harsh Gupta (HG Virtuals)⚖️ @CA_Law_HarshGupta · 42,556 Telegram ranks this channel #51 of 87 here — alongside 86 others — read 29 August 2026
PRATIK JAGATI FR & AFM @pratikjagati · 56,362 Telegram ranks this channel #51 of 83 here — alongside 82 others — read 23 August 2026
CA BHAVIK CHOKSHI - Final FR/AFM @bhavikFRSFM · 42,474 Telegram ranks this channel #55 of 87 here — alongside 86 others — read 29 August 2026
CA NAMIT ARORA (NAMIT ARORA CLASSES) @namitaroraclasses · 46,380 Telegram ranks this channel #57 of 80 here — alongside 79 others — read 27 August 2026
Swapnil Patni's classes @swapnilpatniclasses · 74,429 Telegram ranks this channel #57 of 89 here — alongside 88 others — read 19 August 2026
CA Vijay Sarda-Romancing the Taxation @cavijaysarda · 55,175 Telegram ranks this channel #58 of 90 here — alongside 89 others — read 23 August 2026
CA Inter Notes @CAnotes_ipcc · 45,716 Telegram ranks this channel #59 of 89 here — alongside 88 others — read 27 August 2026
CA Inter with Your CA Buddy @therankerwayinter · 102,293 Telegram ranks this channel #60 of 90 here — alongside 89 others — read 19 August 2026
Chartered studies @chartered_studies · 102,837 Telegram ranks this channel #63 of 81 here — alongside 80 others — read 19 August 2026
This channel appears in 25 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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“CA Final & CA Inter Audit | Auditguru | Mentorship | CA Ravi Taori” (@AuditGuru), 29,034 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/AuditGuru.
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.