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Channel
NEET PG 2027 | INI CET 2027 |
@Doctorusmlechannel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
75,923subscribers
-1,817 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001359079925 |
|---|---|
| Type | Channel |
| Username | @Doctorusmlechannel |
| Description | Join @doctorusmle for NEETPG prep contact admin @murtazakuchay for any queries |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/Doctorusmlechannel |
Topic
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 20 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 02:08 | 75,923 | -41 |
| 6 Nov 2026, 01:17 | 75,964 | -42 |
| 4 Nov 2026, 23:11 | 76,006 | -16 |
| 3 Nov 2026, 22:26 | 76,022 | -40 |
| 2 Nov 2026, 20:47 | 76,062 | -31 |
| 1 Nov 2026, 21:51 | 76,093 | -30 |
| 31 Oct 2026, 18:08 | 76,123 | -52 |
| 30 Oct 2026, 15:46 | 76,175 | -30 |
| 29 Oct 2026, 17:29 | 76,205 | -19 |
| 28 Oct 2026, 20:58 | 76,224 | -25 |
| 27 Oct 2026, 22:50 | 76,249 | -17 |
| 26 Oct 2026, 23:49 | 76,266 | -19 |
| 25 Oct 2026, 22:27 | 76,285 | -25 |
| 24 Oct 2026, 21:06 | 76,310 | -23 |
| 23 Oct 2026, 20:07 | 76,333 | -29 |
| 22 Oct 2026, 20:56 | 76,362 | -35 |
| 21 Oct 2026, 15:38 | 76,397 | -16 |
| 20 Oct 2026, 13:48 | 76,413 | -31 |
| 19 Oct 2026, 13:27 | 76,444 | -26 |
| 18 Oct 2026, 14:18 | 76,470 | first reading |
Engagement
83 posts held, back to 16 May 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 187 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.43%
- avg views ÷ 75,923 subscribers
- Avg views / post
- 4,120
- 18 posts measured
- Reaction rate
- 0.037%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 83 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 15 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 83 (16 May 2026 – 7 November 2026) |
| Views total | 74,230 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 07:29 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
- 58
- Videos
- 2
- Links
- 46
Lifetime counters from Telegram’s own channel header, read 7 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.
- Video runtime
- 2m 36s
- Average length
- 1m 18s
Measured directly from 2 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.
Reaction mix
454 reactions across 52 posts, in 9 distinct kinds. The most used accounts for 85.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 389 | 85.7% | |
| 🔥 | 29 | 6.39% | |
| 👎 | 17 | 3.74% | |
| 👍 | 11 | 2.42% | |
| 👏 | 2 | 0.441% | |
| 🤔 | 2 | 0.441% | |
| 🥰 | 2 | 0.441% | |
| 😱 | 1 | 0.22% | |
| 🤬 | 1 | 0.22% |
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 62 of the 83 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 454 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 83 most recent posts we hold, published 16 May 2026 to 7 November 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: 2 of 18 posts held from the last 30 days (11.1%) 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 83 posts we hold for @Doctorusmlechannel. 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
@Doctorusmlechannel 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
- 14 August 2026
- Most recent edit
- 14 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.
How was the NEET PG 2026 PAPER
- easy😄6%
- Moderate😐31%
- Tough😞31%
- Very tough😔13%
- Didn't appear, Want to see poll results 🤔19%
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 83 most recent posts we hold, published 16 May 2026 to 7 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.
Republishes
Channels on the register whose posts this channel has forwarded.
@paedsvideos · 50,2152 postsENT Videos & books
@ENTVideos · 37,5741 postPhysiology
@Physiology_videos · 71,3981 postRadiology
@Radiology_videos · 49,4311 postCommunity Medicine
@communitymedicinevideos · 44,6731 postDermatology
@dermatology_vid · 29,3821 postForensic medicine
@forensicmedicine_videos · 29,0301 postOrthopaedics
@ortho_vid · 29,9101 postPharmacology
@pharma_vid · 66,7191 postPathology videos & books
@sketchymedical · 90,6171 postSurgery videos & books
@surgeryvideos · 82,6071 post
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
Names
Channels on the register whose handles appear in this channel's posts.
@RecallabNEETPG · 1598 postsNEET PG 2027 | INICET 2027 Group
@doctorusmle · 118,4955 postsNEET PG 2026 Counseling
@NeetPG2026_counselling · 32,3194 postsAnesthesia
@anaesthesia_vid · 28,7262 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,4922 postsBiochemistry Videos & Books
@biochemistry_videos · 62,9432 postsDr Conard Fischer Lectures
@doctorConardFischer · 22,7312 postsENT Videos & books
@ENTVideos · 37,5742 postsFMGE Dec 2026
@Fmge_Preparation · 13,1732 postsKAPLAN VIDEOS
@kaplanvideos · 93,0822 postsMedflix 2.0- The book Store
@Medflix2_0 · 84,7502 postsInternal Medicine Videos & books
@medicinevideoss · 103,1392 postsNEET SS | INI SS | 2026 | DM | Mch | Prep Group
@Neet_SS · 38,5532 postsNinja_Nerd
@ninja_nerdy · 13,1292 postsObsterics & Gynecology
@Obs_gynee · 25,6302 postsOrthopaedics
@ortho_vid · 29,9102 postsPATHOMA VIDEOS
@pathomaavideos · 141,8142 postsPharmacology
@pharma_vid · 66,7192 postsPLAB, MRCP, MRCS, NBME
@Plab_MRcp · 69,5872 postsPYQ Channel - NEET PG , FMGE , INICET
@PYQ_CHANNEL · 82,5002 postsRadiology
@Radiology_videos · 49,4312 postsPathology videos & books
@sketchymedical · 90,6172 postsSurgery videos & books
@surgeryvideos · 82,6072 postsUWorld 2026 USMLE
@U_World · 139,6282 posts
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@Doctorusmlechannel named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 4 posts, 8 August 2026 – 21 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 4 posts, 8 August 2026 – 21 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
@pyqneetpgfmge · 31,728#1
@pathologybydrpreeti · 124,636#2
@QuizFmgeNeetpg · 18,008#3
@PYQchannel · 28,394#4
@nextpgneetmcq · 16,578#5
@NEETPG2023DISCUSSIONCHANNEL · 15,634#6
@NEETPGCOUNSELLOR · 233 (as read 26 August 2026)#7
@MedicalNewsUpdates · 6,930#8
@tnmrbexamquiz · 3,128#9
@Medicine_Youtube · 13,450#10
@CEREBELLUMNEETPGFMG · 62,998#11
@NEETPG_Counselling · 12,095#12
@CerebellumAcademyPvtLtd · 37,593#13
@PYQNEETPGFMGEINICET · 12,249#14
@cerebellumacademychannel · 16,926#15
@NEETPGCounsellingChannel · 23,083#16
@inicetneetpg24 · 5,671#17
@TNMRBUPDATES · 16,902#18
@medtalkss00 · 11,544#19
@zainabvorachannel · 117,908#20
@drnikitarwm · 83,284#21
@obgynwithDrDeepti · 75,251#22
@rmojobs · 7,761#23
@kayspsm · 42,411#24
@damsdelhiofficial · 59,195#25
@All_Coaching_Lectures_Available · 19,247#26
@WorldOfMagicalMnemonics · 1,632#27
@one_stop_medico · 68,298#28
@btrinicet · 21,507#29
@MedicineHUBs · 4,627#30
@DBMCIOfficialChannel · 44,168#31
@medicalshark · 8,655#32
@medicalsnippets · 8,980#33
@FitDocMedFMGE · 2,450#34
@eyementor_rajarathna · 3,320#35
@mcqhubfmge · 2,908#36
@pwmeded · 54,019#37
@medicaltheorist · 13,667#38
@Med_UPSC_CMS · 13,882#39
@sethsparshsethoscopemedics · 597 (as read 26 August 2026)#40
@ashwanisirnew · 2,717#41
@abvmuup · 9,211#42
@bhanuprakashdr · 139,886#43
@NEXT_MATERIALS · 4,188#44
@alhayatedu · 22,295#45
@ECG_Videoes · 21,934#46
@AIIMSPGINICET · 6,401#47
@microghg · 11,818#48
@DoctorgovtjobMedexupdate · 18,712#49
@medin_marsu · 745#50
@revolut2024ion · 14,765#51
@medicaljobss · 5,134#52
@damsfmge · 10,845#53
@upsccmsprep23 · 1,526#54
@RadiologywithSumer · 34,344#55
Read from Telegram’s recommendation API, most recently 26 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.
@CerebellumAcademyPvtLtd · 37,593
Telegram ranks this channel #16 of 61 here — alongside 60 others — read 31 August 2026
@PYQ_CHANNEL · 82,500
Telegram ranks this channel #20 of 47 here — alongside 46 others — read 4 September 2026
@PYQchannel · 28,394
Telegram ranks this channel #26 of 67 here — alongside 66 others — read 9 September 2026
@btrinicet · 21,507
Telegram ranks this channel #35 of 49 here — alongside 48 others — read 23 September 2026
@one_stop_medico · 68,298
Telegram ranks this channel #38 of 55 here — alongside 54 others — read 26 August 2026
@pathologybydrpreeti · 124,636
Telegram ranks this channel #42 of 61 here — alongside 60 others — read 26 August 2026
@zainabvorachannel · 117,908
Telegram ranks this channel #43 of 55 here — alongside 54 others — read 26 August 2026
@obgynwithDrDeepti · 75,251
Telegram ranks this channel #44 of 66 here — alongside 65 others — read 26 August 2026
@kayspsm · 42,411
Telegram ranks this channel #53 of 63 here — alongside 62 others — read 28 August 2026
@damsdelhiofficial · 59,195
Telegram ranks this channel #57 of 65 here — alongside 64 others — read 26 August 2026
@drnikitarwm · 83,284
Telegram ranks this channel #58 of 62 here — alongside 61 others — read 26 August 2026
This channel appears in 11 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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“NEET PG 2027 | INI CET 2027 |” (@Doctorusmlechannel), 75,923 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/Doctorusmlechannel.
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.