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 the other topics.
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 in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 26 of the 26 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 514 comparable posts for this entry, running 6 August 2026 to 10 November 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).
Of the group of 3 channels, the one whose matching posts we hold earliest is @StudifiedPDF — 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 11 November 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.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
63 measurements spanning 94 days, net +8,611. 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 448,415–462,427 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 00:20
458,643
-173
8 Nov 2026, 14:59
458,816
-180
7 Nov 2026, 09:56
458,996
-194
6 Nov 2026, 13:26
459,190
-142
5 Nov 2026, 14:10
459,332
-131
4 Nov 2026, 12:34
459,463
-63
3 Nov 2026, 13:37
459,526
-30
1 Nov 2026, 15:47
459,556
-62
31 Oct 2026, 15:28
459,618
-79
30 Oct 2026, 13:37
459,697
-102
29 Oct 2026, 11:30
459,799
-69
28 Oct 2026, 08:16
459,868
-87
27 Oct 2026, 04:48
459,955
-74
26 Oct 2026, 06:08
460,029
-46
25 Oct 2026, 03:14
460,075
-36
24 Oct 2026, 03:19
460,111
-71
22 Oct 2026, 23:49
460,182
-2
21 Oct 2026, 19:59
460,184
-104
20 Oct 2026, 17:39
460,288
-51
19 Oct 2026, 15:38
460,339
first reading
Engagement
834 posts held, back to 5 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 207 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.88%
avg views ÷ 458,643 subscribers
Avg views / post
22,400
229 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
229
of 834 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 11 November 2026
Posts held
834 (5 August 2026 – 11 November 2026)
Views total
5,125,670
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 04:23 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
≈2,900
Videos
≈129
Links
≈4,380
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Video runtime
11m 45s
Average length
59s
Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
Telegram’s own ‘edited’ marker: 21 of 229 posts held from the last 30 days (9.17%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Showing the 12 most recent of 834 posts we hold for @StudifiedPDF. 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
@StudifiedPDF edited 3 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
8 September 2026
Most recent edit
3 November 2026
Posts recorded as deleted after publishing
We recorded 13 posts on @StudifiedPDF as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
10 September 2026
Most recent seen missing
7 November 2026
Median time before seen missing
17 hours
Seen missing in the last 30 days
7
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.
What should be the ideal timing for tomorrow’s Mains live class so that maximum students can attend live on Studified?
Please vote with your preferred time.
12:30 pm58%
10:00 am45%
The shares total 103%, 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 834 most recent posts we hold, published 5 August 2026 to 11 November 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.
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.
ANKUSH LAMBA - Bank Exams IBPS PO SBI PO AND CLERK @BANKERS10 · 231,723#1
English with Nimisha Bansal @NimishaMam · 678,376#2
Read from Telegram’s recommendation API, most recently 13 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.
AffairsCloud Official @Affairscloud_PDFs · 25,088 Telegram ranks this channel #1 of 75 here — alongside 74 others — read 14 September 2026
Current Affairs @CurrentAffairs_Cloud · 28,389 Telegram ranks this channel #1 of 66 here — alongside 65 others — read 10 September 2026
Kush Sir Official Channel @kushsirchannel · 37,987 Telegram ranks this channel #1 of 56 here — alongside 55 others — read 1 September 2026
Oliveboard Official @OliveboardApp · 75,646 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 19 August 2026
Anil Aggarwal YouTube ( anilaggarwalchannel) @anilaggarwalchannel · 74,540 Telegram ranks this channel #1 of 70 here — alongside 69 others — read 19 August 2026
Constant Guide @theconstantguide · 76,629 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 19 August 2026
Quant Target Group @tg149 · 87,605 Telegram ranks this channel #1 of 61 here — alongside 60 others — read 17 August 2026
GA By Abhijeet Sir Ji @gabyabhijeetsirji · 134,250 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 14 August 2026
AskMentor Academy @AskMentor_Official · 26,554 Telegram ranks this channel #2 of 67 here — alongside 66 others — read 13 September 2026
Current Affairs @affairscloud_ca_pdf · 41,400 Telegram ranks this channel #2 of 57 here — alongside 56 others — read 29 August 2026
Maths by Shantanu Sir channel @mathsbyshantanusir · 53,042 Telegram ranks this channel #2 of 65 here — alongside 64 others — read 27 August 2026
Sheetal Sharma Ma'am Official @sheetalsharma01 · 131,635 Telegram ranks this channel #2 of 73 here — alongside 72 others — read 14 August 2026
Vishal Parihar Telegram @vishalparihartelegram · 52,222 Telegram ranks this channel #3 of 59 here — alongside 58 others — read 24 August 2026
Exam Genius ™ @Exam_Genius_Official · 85,259 Telegram ranks this channel #3 of 65 here — alongside 64 others — read 18 August 2026
Bank Adda247 @SBICLERKADDA247 · 84,677 Telegram ranks this channel #3 of 67 here — alongside 66 others — read 18 August 2026
Smartkeeda Official @smartkeedaofficial · 99,005 Telegram ranks this channel #3 of 70 here — alongside 69 others — read 15 August 2026
Bankers Way by Unacademy @bankersway_avp · 23,583 Telegram ranks this channel #4 of 48 here — alongside 47 others — read 16 September 2026
The R.H.A - Banking Empire Official @rha4747 · 37,715 Telegram ranks this channel #4 of 42 here — alongside 41 others — read 31 August 2026
Banking Cloud Current Affairs @Banking_Cloud_Current_Affairs · 56,280 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 23 August 2026
Maths By Arun Sir Official @mathsbyarunsirchannel · 90,375 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 17 August 2026
Banking Wallah IBPS RRB , SBI , IBPS PO / Clerk @pwbankingwallah · 110,217 Telegram ranks this channel #4 of 75 here — alongside 74 others — read 15 August 2026
𝐁𝐚𝐧𝐤𝐢𝐧𝐠 𝐀𝐜𝐚𝐝𝐞𝐦𝐲 @RRB_PO_2026 · 21,794 Telegram ranks this channel #6 of 43 here — alongside 42 others — read 23 September 2026
Ashish Gautam Ga Guru (Channel) @ashishgautamgaguru93 · 27,988 Telegram ranks this channel #6 of 64 here — alongside 63 others — read 9 September 2026
This channel appears in 60 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.
Domains linked from posts
7 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Studified™ - Content & Updates” (@StudifiedPDF), 458,643 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/StudifiedPDF.
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.