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 10 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 the other topics.
Growth
56 measurements spanning 90 days, net -744. 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 28,313–29,281 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
4 Nov 2026, 21:36
28,425
-22
4 Nov 2026, 00:40
28,447
-8
3 Nov 2026, 03:07
28,455
-17
2 Nov 2026, 03:50
28,472
-9
1 Nov 2026, 04:30
28,481
-19
31 Oct 2026, 02:56
28,500
-6
30 Oct 2026, 01:47
28,506
-8
29 Oct 2026, 01:29
28,514
-17
27 Oct 2026, 21:57
28,531
-14
26 Oct 2026, 22:35
28,545
-10
26 Oct 2026, 02:00
28,555
-10
24 Oct 2026, 22:28
28,565
-8
24 Oct 2026, 01:49
28,573
-11
23 Oct 2026, 03:11
28,584
-7
22 Oct 2026, 02:50
28,591
-23
20 Oct 2026, 18:28
28,614
-8
19 Oct 2026, 17:20
28,622
-8
18 Oct 2026, 20:49
28,630
-8
17 Oct 2026, 17:48
28,638
-10
16 Oct 2026, 20:07
28,648
first reading
Engagement
125 posts held, back to 5 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 149 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.19%
avg views ÷ 28,425 subscribers
Avg views / post
624
8 posts measured
Reaction rate
0.165%
reactions ÷ views · ER floor
Posts in window
8
of 125 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 2 of 8 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 25 October 2026
Posts held
125 (5 July 2026 – 25 October 2026)
Views total
4,991
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 01:28 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
606
Videos
53
Links
428
Lifetime counters from Telegram’s own channel header, read 5 November 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
92 reactions across 43 posts, in 2 distinct kinds. The most used accounts for 98.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
91
98.9%
👍
1
1.09%
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 65 of the 125 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 92 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 125 most recent posts we hold, published 5 July 2026 to 25 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 8 posts held from the last 30 days (12.5%) 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 125 posts we hold for @PYQchannel. 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
@PYQchannel 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
6 October 2026
Most recent edit
6 October 2026
Posts recorded as deleted after publishing
We recorded 10 posts on @PYQchannel 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
8 August 2026
Most recent seen missing
4 October 2026
Median time before seen missing
13 days
Seen missing in the last 30 days
0
Polls
The 3 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.
2660) A 6-year-old presents with a fracture through the growth plate and metaphysis, with the epiphysis unaffected. This is best classified as which Salter-Harris type?
#PYQtimes
A) Type I12%
B) Type II57%
C) Type III26%
D) Type IV6%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
2546. A female patient with a history of fall few months back presents with the deformity shown in the image. Probing into history reveals it was managed with traditional treatment. This deformity is likely to be due to?
A Intra-articular fracture of wrist24%
B Extra-articular fracture of wrist56%
C Barton's fracture12%
D Boxer's fracture8%
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 125 most recent posts we hold, published 5 July 2026 to 25 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
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.
FMGE | NEXT | USMLE | PLAB | KROK with Nextillo @nextillowonder · 1,059#67
Read from Telegram’s recommendation API, most recently 9 September 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.
One_stop_medico✨ @one_stop_medico · 68,259 Telegram ranks this channel #3 of 55 here — alongside 54 others — read 26 August 2026
NEET PG 2027 | INI CET 2027 | @Doctorusmlechannel · 76,006 Telegram ranks this channel #4 of 55 here — alongside 54 others — read 26 August 2026
Mission NEETPG/FMGE 2025!! @CerebellumAcademyPvtLtd · 37,631 Telegram ranks this channel #5 of 61 here — alongside 60 others — read 31 August 2026
PSMSID AGONY AUNT @PSMSID · 27,784 Telegram ranks this channel #9 of 60 here — alongside 59 others — read 10 September 2026
Dr.G.Bhanu Prakash - Official👨⚕️ @bhanuprakashdr · 139,909 Telegram ranks this channel #9 of 62 here — alongside 61 others — read 26 August 2026
DAMS OFFICIAL @damsdelhiofficial · 59,211 Telegram ranks this channel #10 of 65 here — alongside 64 others — read 26 August 2026
DBMCI Official @DBMCIOfficialChannel · 44,198 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 28 August 2026
Virtual Study Group For NEET PG/ INI / FMGE 2026 @studywithdrdeepak · 25,242 Telegram ranks this channel #12 of 59 here — alongside 58 others — read 15 September 2026
Dr Neha Taneja Community Medicine @crackpsmwithdrneha · 49,772 Telegram ranks this channel #13 of 64 here — alongside 63 others — read 26 August 2026
Integrated Learning Channel @integratedlearningchannel · 34,689 Telegram ranks this channel #14 of 62 here — alongside 61 others — read 4 September 2026
Doctor_Priyesh NEET PG EDUCATOR @Drpriyeshorthobioc · 64,749 Telegram ranks this channel #14 of 53 here — alongside 52 others — read 26 August 2026
USMLE RECALLS STEP 1 2and 3 2026 @USMLERECALLS2021 · 30,565 Telegram ranks this channel #18 of 73 here — alongside 72 others — read 6 September 2026
Channel- DR PREETI SHARMA @pathologybydrpreeti · 124,645 Telegram ranks this channel #21 of 61 here — alongside 60 others — read 26 August 2026
Channel : Dr. Nikita Nanwani @drnikitarwm · 83,361 Telegram ranks this channel #24 of 62 here — alongside 61 others — read 26 August 2026
Dr. Rohan Khandelwal - Surgery Updates @rohankhandelwalsurgery · 21,071 Telegram ranks this channel #27 of 66 here — alongside 65 others — read 25 September 2026
Cerebellum academy notes @cerebellumacademyCA · 20,023 Telegram ranks this channel #28 of 57 here — alongside 56 others — read 29 September 2026
OBGYN with Dr Deepti Bahl @obgynwithDrDeepti · 75,246 Telegram ranks this channel #30 of 66 here — alongside 65 others — read 26 August 2026
MRCP Up To Date @DrThobanMohammed · 63,362 Telegram ranks this channel #32 of 77 here — alongside 76 others — read 28 August 2026
Cerebelllum academy official @Cerebellum_academy_official · 20,756 Telegram ranks this channel #34 of 51 here — alongside 50 others — read 26 September 2026
Cerebellum Academy Notes & Q bank @CEREBELLUMNEETPGFMG · 62,993 Telegram ranks this channel #39 of 55 here — alongside 54 others — read 26 August 2026
Radiology Unplugged Dr Sumer Sethi @RadiologywithSumer · 34,397 Telegram ranks this channel #41 of 66 here — alongside 65 others — read 3 September 2026
Dr. Zainab Vora Channel @zainabvorachannel · 117,941 Telegram ranks this channel #51 of 55 here — alongside 54 others — read 26 August 2026
This channel appears in 22 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“💡𝕡𝕪𝕢 𝕔𝕙𝕒𝕟𝕟𝕖𝕝 💡” (@PYQchannel), 28,425 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/PYQchannel.
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.