Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @adda247live — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
33 measurements spanning 50 days, net +1,935. 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 440,176–442,691 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
26 Sept 2026, 16:17
442,401
+1,069
19 Sept 2026, 16:02
441,332
+180
17 Sept 2026, 05:59
441,152
+59
15 Sept 2026, 09:55
441,093
+47
13 Sept 2026, 19:21
441,046
-66
12 Sept 2026, 02:19
441,112
-141
9 Sept 2026, 15:19
441,253
-53
6 Sept 2026, 10:00
441,306
-109
4 Sept 2026, 03:40
441,415
+63
2 Sept 2026, 17:55
441,352
-59
1 Sept 2026, 13:02
441,411
-2
31 Aug 2026, 09:58
441,413
-149
30 Aug 2026, 08:47
441,562
-141
29 Aug 2026, 06:25
441,703
-154
28 Aug 2026, 03:34
441,857
-101
27 Aug 2026, 01:37
441,958
+61
26 Aug 2026, 02:12
441,897
+32
25 Aug 2026, 02:04
441,865
-111
23 Aug 2026, 18:23
441,976
+85
22 Aug 2026, 03:07
441,891
first reading
Engagement
1,218 posts held, back to 7 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.24%
avg views ÷ 442,401 subscribers
Avg views / post
5,470
622 posts measured
Reaction rate
0.065%
reactions ÷ views · ER floor
Posts in window
629
of 1,218 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 531 of 622 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 26 September 2026
Posts held
1,218 (7 August 2026 – 26 September 2026)
Views total
3,402,940
Reactions total
1,957
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 23:39 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
≈24,900
Videos
≈397
Links
≈71,100
Lifetime counters from Telegram’s own channel header, read 26 September 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
2,947 reactions across 803 posts, in 7 distinct kinds. The most used accounts for 85.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,523
85.6%
👍
185
6.28%
🙏
146
4.95%
🔥
45
1.53%
💯
23
0.78%
👏
20
0.679%
👌
5
0.17%
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 839 of the 1,000 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 2,947 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 15 August 2026 to 26 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.
🚀 AI AkashVani is here for Banking Aspirants! 🔥
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🚨 SBI Clerk Pre 2026 Shift 4 Exam Analysis LIVE हो गई है 🔥
📢 Exam Centre से Students का Direct Review ✅
जानिए —
✔️ Paper का Level कैसा रहा?
✔️ English, Reasoning & Quant का Detailed Analysis
✔️ Shift 4 में पूछे गए Questions & Good Attempts
🔥 सबसे तेज़ और सटीक SBI Clerk Analysis के लिए अभी देखें!
➡️ https://youtube.com/live/zpJMbnV-3lg
🚨 SBI Clerk Pre 2026 Shift 4 Exam Analysis LIVE 🔥
📢 Exam Centre से Direct Review के साथ जानिए —
✅ Paper का Level कैसा रहा?
✅ English, Reasoning & Quant का Detailed Analysis
✅ Students का Real Feedback
⏰ Live @ 5:30 PM
📌 सबसे सटीक SBI Clerk Analysis के लिए जरूर जुड़ें! 🚀
➡️ https://www.youtube.com/live/HxZjQbJZEa8?si=wII9uF03ZXPKh1v5
🚨SBI Clerk Pre 2026 Shift 1 Quant Analysis 🔥
📌 Exact Paper Discussion | All 35 Questions Solved ✅
📊 Based on Student Review — जानिए Quant का Real Level!
क्या आपका SBI Clerk का Exam आने वाला है? तो ये Analysis जरूर देखें! 💯
➡️ https://www.youtube.com/live/tQ5FN4wC5JU?si=zBo0oN1yVuNkZizq
🚨SBI Clerk Pre 2026 Shift 3 Analysis OUT 🔥
Exam Centre से Students का Direct Review
⌛ पेपर कैसा था? Easy या Tough? जानिए पूरा Analysis अभी
➡️ https://www.youtube.com/watch?v=tQ5FN4wC5JU
🚨🚨 SBI Clerk Pre 2026 Shift 3 Exam Analysis LIVE हो चुका है! 🔥
📢 26 September | Shift 3
🎯 जानिए:
✅Paper Level कैसा रहा?
✅English, Reasoning & Quant का Difficulty Level
✅Students का Direct Review
✅Good Attempts & Expected Cut-Off Discussion
🚀 सबसे तेज़ और सटीक SBI Clerk Analysis के लिए अभी देखें!
🚨SBI Clerk Shift 1 is DONE!
How Was The Paper?👀
Check The 26 September Shift 1 Exam Analysis For:
📌Difficulty Level
📌Good Attempts
📌Section-Wise Review
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https://adda247.go.link/921xn
➡️ https://www.youtube.com/live/kQHZcWuRdMI?si=Uzra1jFJe3wLYLt9
🚨 Students का Real Reaction on SBI Clerk Exam Analysis 🔥
SBI Clerk 2026 का Exam देने वाले Students बता रहे हैं अपना Experience 🎯
🤔 Paper कैसा रहा?
📚 Difficulty Level क्या था?
⏱️ Time Management कैसा रहा?
देखिए Students क्या बोल रहे हैं SBI Clerk Exam Analysis के बारे में 👀🔥
🔴 Direct Student Reaction सिर्फ Adda247 पर! 🚀
➡️ https://www.youtube.com/live/kQHZcWuRdMI?si=plszm1S2kUGfZcoe
🚨 SBI Clerk 2026 Shift-2 Exam Review LIVE 🔥
हमारे साथ जुड़ा है एक SBI Clerk Aspirant Direct Exam Centre से 🎯
जानिए Student से उनका Real Exam Experience 👇
📌 Exam में क्या रहा सबसे बड़ा Challenge?
🔥 देखिए एक Student का Direct Review और जानिए SBI Clerk Shift-2 की Ground Reality!
🔴 अभी LIVE देखें 🚀
❤1
Showing the 12 most recent of 1,218 posts we hold for @adda247live. 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 6 most recent of 8 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.
📢 🔥 Kya aap kal 10 AM hone wale SBI Clerk Prelims 2026 Exam Analysis ke liye ready hain? 🚀
🟢 Bilkul Ready! 🔥 Analysis miss nahi karunga75%
🔵 Haan, sabse pehle Good Attempts jaanne hain 📊38%
The shares total 113%, 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.
The shares total 117%, 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.
The shares total 115%, 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.
🔥 Raftaar Reloaded की पहली Class के लिए कितने Ready हो? 🚀
🔘 100% Ready Sir 🔥53%
🔘 बस Revision चाहिए 💯19%
🔘 Last Moment Strategy चाहिए ⚡️26%
🔘 अभी तैयारी शुरू करनी है 📚16%
The shares total 114%, 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.
🔴 🔴Quant Section me sabse zyada dikkat kis cheez me aati hai?⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️
☄️ Calculation Speed42%
💬 Concept Clarity31%
⁉️ Question Selection23%
⌛ Time Management37%
The shares total 133%, 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.
The shares total 129%, 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 15 August 2026 to 26 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.
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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
Read from Telegram’s recommendation API, most recently 10 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.
Banking - IBPS | SBI | RRB | ECGC (PO | SO | Clerk) @Ibps_sbi_rrb_ecgc_po_so_clerk · 42,388 Telegram ranks this channel #1 of 47 here — alongside 46 others — read 28 August 2026
Notification Adda247 @bankersadda_Official · 71,760 Telegram ranks this channel #1 of 66 here — alongside 65 others — read 20 August 2026
Bank Adda247 @SBICLERKADDA247 · 85,648 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 18 August 2026
THE BANKING BRAINS @TheBankingBrains · 31,201 Telegram ranks this channel #2 of 60 here — alongside 59 others — read 6 September 2026
SSC Adda247 @sscadda_official · 378,101 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 10 August 2026
Ashish Gautam Ga Guru (Channel) @ashishgautamgaguru93 · 28,601 Telegram ranks this channel #5 of 64 here — alongside 63 others — read 9 September 2026
BANKING IBPS SBI PO CLERK SO RRB @BANKING_IBPS_SBI_PO_CLERK_SO_RRB · 188,967 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 11 August 2026
Let's learn Gk @Letslearn_gk · 51,461 Telegram ranks this channel #7 of 68 here — alongside 67 others — read 25 August 2026
Saurav Singh Official @championsreasoningchannel · 27,419 Telegram ranks this channel #8 of 45 here — alongside 44 others — read 11 September 2026
Studified Ashish Arora PDFs @Studified_Ashish_Arora_pdfs · 54,138 Telegram ranks this channel #8 of 67 here — alongside 66 others — read 24 August 2026
Testbook.com Official @testbookcom · 102,341 Telegram ranks this channel #10 of 72 here — alongside 71 others — read 15 August 2026
Railway Adda247 @adda247railway · 85,335 Telegram ranks this channel #11 of 46 here — alongside 45 others — read 18 August 2026
Parcham Classes @PARCHAMCLASSES06 · 329,911 Telegram ranks this channel #12 of 86 here — alongside 85 others — read 10 August 2026
Banking Wallah IBPS RRB , SBI , IBPS PO / Clerk @pwbankingwallah · 109,057 Telegram ranks this channel #14 of 75 here — alongside 74 others — read 15 August 2026
Adda247 Odia @Adda247Odia · 105,590 Telegram ranks this channel #14 of 73 here — alongside 72 others — read 15 August 2026
English by Banking wallah @Rupammampw · 30,378 Telegram ranks this channel #15 of 51 here — alongside 50 others — read 7 September 2026
Maths by Shantanu Sir channel @mathsbyshantanusir · 49,624 Telegram ranks this channel #15 of 65 here — alongside 64 others — read 27 August 2026
Adda247 Tamil @Adda247tamil · 53,734 Telegram ranks this channel #15 of 71 here — alongside 70 others — read 24 August 2026
PUNJAB ADDA247 @punjabadda247 · 69,814 Telegram ranks this channel #16 of 70 here — alongside 69 others — read 20 August 2026
The Winners Institute (Official) 🎯 @WinnersInstituteIndoreAdityaSir · 698,533 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 8 August 2026
NIRMAN IAS @IASNiRMAN · 35,209 Telegram ranks this channel #20 of 55 here — alongside 54 others — read 2 September 2026
Gs by Pawan Moral Sir @Studybypawanmoral · 77,505 Telegram ranks this channel #22 of 64 here — alongside 63 others — read 19 August 2026
Geo politics memes, News & Updates™ @Geopolitics_memes · 201,488 Telegram ranks this channel #22 of 81 here — alongside 80 others — read 11 August 2026
महाराष्ट्र रेल्वे भरती - SuperCoaching Railways Bharti Marathi by Testbook @SuperCoachingRailwayMarathi · 24,993 Telegram ranks this channel #23 of 61 here — alongside 60 others — read 14 September 2026
This channel appears in 54 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Adda247” (@adda247live), 442,401 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/adda247live.
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.