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 11 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
28 measurements spanning 38 days, net +290. 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 11,630–12,007 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
18 Sept 2026, 23:19
11,963
+22
16 Sept 2026, 15:20
11,941
+11
14 Sept 2026, 19:38
11,930
+16
13 Sept 2026, 05:39
11,914
+25
11 Sept 2026, 08:39
11,889
+18
8 Sept 2026, 16:38
11,871
+57
5 Sept 2026, 12:18
11,814
+33
3 Sept 2026, 14:20
11,781
+36
2 Sept 2026, 10:44
11,745
+12
1 Sept 2026, 07:45
11,733
-1
31 Aug 2026, 04:38
11,734
+13
30 Aug 2026, 03:05
11,721
-2
29 Aug 2026, 02:13
11,723
+3
28 Aug 2026, 02:57
11,720
+7
27 Aug 2026, 02:47
11,713
-3
26 Aug 2026, 03:57
11,716
+5
25 Aug 2026, 03:39
11,711
+5
24 Aug 2026, 00:04
11,706
+7
22 Aug 2026, 04:34
11,699
+7
21 Aug 2026, 10:25
11,692
first reading
Engagement
69 posts held, back to 19 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 21 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.48%
avg views ÷ 11,963 subscribers
Avg views / post
1,130
56 posts measured
Reaction rate
0.538%
reactions ÷ views · ER floor
Posts in window
57
of 69 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. It is computed over the 37 of 56 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
69 (19 August 2026 – 2 September 2026)
Views total
63,517
Reactions total
246
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:42 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
361 reactions across 40 posts, in 9 distinct kinds. The most used accounts for 56.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
202
56.0%
🔥
58
16.1%
👍
41
11.4%
💯
29
8.03%
👏
11
3.05%
🙏
10
2.77%
👌
7
1.94%
🏆
2
0.554%
🤝
1
0.277%
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 43 of the 69 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 361 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 19 August 2026 to 2 September 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.
This 73 page highlighted document on Market Disclosures_Pillar-3_Basel Nroms should be referred endlessly for any regulatory exam till the time it gets amended.
You can expect the question from this in any regulatory body, not just this year, but subsequent years.
It will also be a separate circular published on the MockMentor website, as you may find easy in accessing this in the later part of year instead of find…
RBI Grade B 2026 interview
For anyone who has AI in their biodata
Q.1 Many sectors or industries are saturated in India. Do you think that AI led investment and AI led productivity would play a key role in Viksit Bharat journey? Justify
Q.2 Use cases of AI? As an AI enthusiast, in which of the five sectors would you like to see adoption of AI and why?
Q.3 Importance of AI in ULI and Account Aggregator? Also, take o…
https://forms.gle/goGjWDdGujF3kryu7
Please fill out this Google form if you have cleared the Mains and are wanting to connect with the mentors for interview guidance.
Thanks,
Support Team
Sample Questions_RBI GRADE B Interview
For Insurance Officers
Q.1 You are working in the most evergreen sector today. We think that can you make a indelible mark in the insurance sector and help country's insurance sector grow and increase insurance penetration and density. Don't you think you should stay here only or join IRDAI for policy making, in case you want to work only in regulatory body?
For Bankers & Insu…
RBI Grade B 2026 Interview
Q. Can you please tell us the issuer of currency in the chronological manner?
Answer-
Initially, Government of India (Currency Department) under the paper currency act of 1861
👇
Then, in 1913, the Office of Controller of Currency was established replacing the Currency Department in the Government.
👇
Later, since 1935, the RBI is the sole authority of issuing currency notes as per section…
Have confidence in yourself for the last stage of RBI.
Ask yourself if you are doing too much for the interview. If yes, calm down, check transcripts, and then reflect.
For clarity, check the post-
http://youtube.com/post/UgkxXyCd7fJxsVXFfZfW1OR3GLzF_T0GKBQ-?si=QDdi_hkrBOd-eZiV
Thanks,
MockMentor
❤1
Showing the 12 most recent of 69 posts we hold for @MockMentor. 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.
Polls
The 4 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.
What is the Compressed Biogas blending obligation from Financial Year 2028–29 onwards for the Compressed Natural Gas–Transport and Piped Natural Gas–Domestic segments?
2%7%
3%19%
4%19%
5%43%
10%13%
Shares as published, totalling 101%. 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 69 most recent posts we hold, published 19 August 2026 to 2 September 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.
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.
We learn here - Gr B @we_learn_here · 28,164 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 10 September 2026
Target RBI Grade B 2027 @TargetRBI2018 · 41,093 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 29 August 2026
AskMentor (Official) @AskMentor_Official · 25,939 Telegram ranks this channel #5 of 67 here — alongside 66 others — read 13 September 2026
CGBMentors @cgbmentors · 30,711 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 7 September 2026
EduTap - RBI | NABARD | SEBI |FCI | EPFO @EduTapLearning · 132,144 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 13 August 2026
Anujjindal.in @anujjindal · 55,843 Telegram ranks this channel #12 of 78 here — alongside 77 others — read 23 August 2026
Vikram Sir GK @vikramsirgk · 31,269 Telegram ranks this channel #16 of 74 here — alongside 73 others — read 6 September 2026
Banking Cloud Current Affairs @Banking_Cloud_Current_Affairs · 56,743 Telegram ranks this channel #22 of 73 here — alongside 72 others — read 23 August 2026
RBI SEBI NABARD GRADE A B GA Exam @RBI_SEBI_NABARD_Grade_B_A_GA · 44,922 Telegram ranks this channel #24 of 71 here — alongside 70 others — read 28 August 2026
SBI IBPS RRB PO & CLERK Mains Exam 2026 @SBI_IBPS_RRB_PO_CLERK_MAINS_EXAM · 43,331 Telegram ranks this channel #29 of 69 here — alongside 68 others — read 28 August 2026
NextGen Bankers (Official) @NextGenBankers · 31,281 Telegram ranks this channel #30 of 44 here — alongside 43 others — read 6 September 2026
SBI PO & CLERK EXAM 2026 PDF Notes Group @SBI_PO_CLERK_EXAM_PDF_Group_2026 · 31,758 Telegram ranks this channel #36 of 56 here — alongside 55 others — read 5 September 2026
GA Genius by Aditya Sir @gageniusadityasir · 26,091 Telegram ranks this channel #44 of 65 here — alongside 64 others — read 13 September 2026
Gk +imp sub pdfs [ɴɪʜᴀʀ]❤️ @Banking_encyclopedia_by_Nihar · 30,685 Telegram ranks this channel #47 of 61 here — alongside 60 others — read 7 September 2026
Kush Sir Official Channel @kushsirchannel · 37,312 Telegram ranks this channel #50 of 56 here — alongside 55 others — read 1 September 2026
abdsankalp @abdsankalp · 68,270 Telegram ranks this channel #51 of 76 here — alongside 75 others — read 20 August 2026
Quant Reasoning Vault Official @qrvault0322 · 28,035 Telegram ranks this channel #52 of 57 here — alongside 56 others — read 10 September 2026
Affairs Cloud PDFs ™ @Cloud_Affairs_Pdf_free · 188,860 Telegram ranks this channel #63 of 66 here — alongside 65 others — read 11 August 2026
AffairsCloud Official @Affairscloud_PDFs · 25,230 Telegram ranks this channel #65 of 75 here — alongside 74 others — read 14 September 2026
Guidely™️ Official @guidelylearn · 56,730 Telegram ranks this channel #67 of 72 here — alongside 71 others — read 23 August 2026
Banking chronicle @bankingchronicleYT · 139,114 Telegram ranks this channel #70 of 75 here — alongside 74 others — read 13 August 2026
This channel appears in 21 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
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.