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Channel

Physiology notes & mcq's mbbs 1 St year

@physiology_mbbs_notes

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

23,420subscribers

+156 since we began measuring on 26 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001522639955
TypeChannel
Username@physiology_mbbs_notes
CreatedBetween 1 August 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 August 2026
Last confirmed live18 October 2026
Measurements held25
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/physiology_mbbs_notes

Topic

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

23,26423,42023,34226 August 2026 — 23,264 subscribers26 August 2026 — 23,264 subscribers27 August 2026 — 23,267 subscribers28 August 2026 — 23,276 subscribers29 August 2026 — 23,278 subscribers30 August 2026 — 23,288 subscribers31 August 2026 — 23,297 subscribers1 September 2026 — 23,290 subscribers2 September 2026 — 23,298 subscribers3 September 2026 — 23,294 subscribers4 September 2026 — 23,302 subscribers7 September 2026 — 23,312 subscribers11 September 2026 — 23,313 subscribers12 September 2026 — 23,310 subscribers14 September 2026 — 23,301 subscribers16 September 2026 — 23,296 subscribers18 September 2026 — 23,292 subscribers2 October 2026 — 23,303 subscribers7 October 2026 — 23,312 subscribers11 October 2026 — 23,352 subscribers14 October 2026 — 23,362 subscribers15 October 2026 — 23,378 subscribers16 October 2026 — 23,393 subscribers17 October 2026 — 23,404 subscribers18 October 2026 — 23,420 subscribers26 August 202618 October 2026
25 measurements spanning 53 days, net +156. 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 23,241–23,443 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
18 Oct 2026, 14:3823,420+16
17 Oct 2026, 11:0523,404+11
16 Oct 2026, 08:1723,393+15
15 Oct 2026, 06:5123,378+16
14 Oct 2026, 03:5823,362+10
11 Oct 2026, 21:5523,352+40
7 Oct 2026, 06:3623,312+9
2 Oct 2026, 07:3823,303+11
18 Sept 2026, 13:1823,292-4
16 Sept 2026, 08:1723,296-5
14 Sept 2026, 15:1923,301-9
12 Sept 2026, 22:0123,310-3
11 Sept 2026, 01:1923,313+1
7 Sept 2026, 23:5623,312+10
4 Sept 2026, 23:2123,302+8
3 Sept 2026, 06:2523,294-4
2 Sept 2026, 02:4423,298+8
1 Sept 2026, 03:0723,290-7
31 Aug 2026, 01:2823,297+9
30 Aug 2026, 03:0723,288first reading

Engagement

20 posts held, back to 24 November 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 00s
Average length
1m 00s

Measured directly from 1 video 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

582 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 54.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤31854.6%
👍20835.7%
🔥183.09%
😢162.75%
🥰101.72%
🐳71.20%
👏30.515%
❤‍🔥10.172%
😁10.172%

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 19 of the 20 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 582 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 24 November 2023 to 28 July 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

28 Jul 2026, 05:42 UTC≈10,600 views13 reactionsread 18 October 2026
Forwarded from @TheMedAtlas

📚 MedAtlas 2.0 – Medical Learning Hub A platform for sharing MBBS notes, clinical concepts, exam-oriented summaries, and useful medical resources. https://t.me/OfficialMedAtlas This is a backup Channel for MedAtlas All the handwritten notes of final year subjects and other educational stuff is provided in channel... We kindly request you all to join the channel and share it with your friends Hope it proves Benefi…

❤13

23 Jul 2026, 08:28 UTC≈11,300 views1 reactionsread 18 October 2026
Forwarded from @MBBS_SHALA

https://www.instagram.com/p/DbIOiP6GM3W/?img_index=1&igsh=Ym5mMnQ5MDBhNXUy

❤1

28 Mar 2026, 09:29 UTC≈25,900 views28 reactionsread 18 October 2026
Forwarded from @AskAnyTimeDrMRU_1

Kindly join our other channels too (Medicos related channels) ★ 1. Anatomy ★★ 2. Biochemistry ★★★ 3. Physiology ★★★★ 4. Pathology ★★★★★ 5. Microbiology ★★★★★★ 6. Pharmacology ★★★★★★★ 7. MBBS Shala

❤24🐳3😁1

Signed Rizwan Uddin MRU

15 Mar 2026, 23:29 UTC≈28,000 views26 reactionsread 18 October 2026
Forwarded from @TheMedAtlas

📚 MEDATLAS – Subject-wise Handwritten Notes Medicine https://t.me/TheMedAtlas/4 https://t.me/TheMedAtlas/5 https://t.me/TheMedAtlas/6 https://t.me/TheMedAtlas/7 Surgery https://t.me/TheMedAtlas/8 https://t.me/TheMedAtlas/9 https://t.me/TheMedAtlas/10 https://t.me/TheMedAtlas/11 Obstetrics & Gynecology (OBG) https://t.me/TheMedAtlas/12 https://t.me/TheMedAtlas/13 https://t.me/TheMedAtlas/14 https://t.me/TheMedAtlas…

❤26

10 Mar 2026, 07:35 UTC≈25,300 views1 reactionsread 18 October 2026

For 1st year students 👆

🥰1

Signed Rizwan Uddin MRU

10 Mar 2026, 07:35 UTC≈25,200 views12 reactionsread 18 October 2026
File

File, posted without a caption

❤12

Signed Rizwan Uddin MRU

18 Feb 2026, 09:58 UTC≈23,800 views6 reactionsread 18 October 2026
Forwarded from @MBBS_SHALA

https://youtu.be/YYajiruQoMI?si=h72TftCFkIo0bT-n

❤6

18 Feb 2026, 09:58 UTC≈28,500 views26 reactionsread 18 October 2026
Forwarded from @MBBS_SHALA

Evidence-Based Medicine (EBM) vs. Pseudoscience: A Reality Check for Medicos 🩺 Guys,we need to be very vocal about Evidence-Based Medicine. I just came across this investigative documentary on the Ayurvedic/Unani industry and it’s a massive wake-up call for our fraternity. Why we must advocate for Modern Medicine over alternative systems: 🟤The Trial Gap: We study the rigors of Phase I to IV clinical trials. In contra…

❤25😢1

30 Oct 2024, 11:49 UTC≈72,000 views86 reactionsread 18 October 2026
Forwarded from @anatomy_mbbs_notesPoll

Time you spend for a new LAQ

  1. 20 hrs12%
  2. 11-19 hrs5%
  3. 10 hrs5%
  4. 6-9 hrs7%
  5. 5 hrs9%
  6. 4 hrs🧬11%
  7. 3 hrs📌17%
  8. 2 hrs19%
  9. 1 hr👊38%

The shares total 123%, 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.

❤48👍21😢9🔥4🐳3❤‍🔥1

Signed Mohammad umer

30 Oct 2024, 10:19 UTC≈67,400 views22 reactionsread 18 October 2026
Forwarded from @MBBS_SHALA

Be perfect with definitions for prof exams, you will get 2-3 Mark's for definition and you can impress the person who is correcting your paper and score good marks... Do join us 😊 https://t.me/MBBS_SHALA

👍13❤9

Signed Mohammad umer

27 Oct 2024, 03:27 UTC≈71,600 views27 reactionsread 18 October 2026
File

Overview of clinical questions of physiology.pdf Shared by Fatima Ansari Do join us 😊 https://t.me/physiology_mbbs_notes

❤15👍8🔥4

Signed Mohammad umer

25 Oct 2024, 02:11 UTC≈67,900 views14 reactionsread 18 October 2026

https://youtu.be/deEiRCvekTU?si=HIU7KOmkptMSenEZ

❤8👍6

Signed Mohammad umer

Showing the 12 most recent of 20 posts we hold for @physiology_mbbs_notes. 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 2 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.

30 Oct 2024, 11:49 UTCAnonymous Poll7,070 voters approx.

Time you spend for a new LAQ

  1. 20 hrs12%
  2. 11-19 hrs5%
  3. 10 hrs5%
  4. 6-9 hrs7%
  5. 5 hrs9%
  6. 4 hrs🧬11%
  7. 3 hrs📌17%
  8. 2 hrs19%
  9. 1 hr👊38%

The shares total 123%, 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.

24 Nov 2023, 11:38 UTCAnonymous Quiz5,760 voters approx.

Active from of testosterone

  1. Androgen40%
  2. androstenedione14%
  3. androstenediol8%
  4. Dihydrotestosterone37%

Shares as published, totalling 99%. 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 20 most recent posts we hold, published 24 November 2023 to 28 July 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

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 3 registered channels — 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.

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.

MBBS students Maharashtra
@maharashtrambbs · 6,351
#1
Mbbs notes
@mbbsnotesunii · 5,617
#2
Bpt Notes (RGUHS)
@bptnotess · 2,830
#3
NEXT/FMGE/NEET PG/INICET 📚📖✏️
@doctorscare143 · 757 (as read 18 September 2026)
#4
MBBS All Study Material ⚡
@PROMEDMBBS · 2,826
#5
1st Year MBBS Notes
@MBBS_1st_YearNotes · 52,858
#6
MBBS 1st year internal Pct Papers
@MbbsInternalPaper · 13,123
#7
NBME||USMLE||UWORLD etc.
@NBMEandUworldforUSMLE · 369 (as read 18 September 2026)
#8
Online MedED Videos 🩺
@Online_Medico · 2,157
#9
Dr SHLOK NEET
@drshlokneet · 2,713
#10
Physiology Books📚 and Notes📝
@physiology_books_and_notes · 4,242
#11
Krok - 2 (General Medicine)
@krok2GeneralMedicine · 2,033
#12
PhysioComrade
@physiocomrade · 3,683
#13
MBBS NOTES USMLE/NEET PG/FMG/NEXT/INICET
@medicalmaterialss · 2,586
#14
22 MEDICOSSQUAD
@medicossquad · 6,192
#15
MEDEDU2023
@Mededu2023 · 1,891
#16
⚕️ MBBS Medexams Books, Mcq, Video 2025
@mbbs_mcq_books_videos_medexam · 3,675
#17
Cerebellum Academy video
@cerebellumacademynotespdf · 20,387
#18
GP Dr : DHA Dubai & Omsb Oman
@TheMiddleEastGP · 2,476
#19
Physio's Helping hand
@physiohelpinghand · 5,668
#20
Cerebellum Academy Notes
@cerebellumacademyneetpg · 5,656
#21
Medical Books
@pharmacologybooks · 11,482
#22
MBBS FINAL YEAR
@MBBS_Final_year · 17,352
#23
1st Year MBBS notes
@mbbs1st_yearNotes · 4,134
#24
Pathology mbbs
@pathology_mbbs · 6,409
#25
Mbbs Practical VIVA Spotting histology clinical posting
@mbbs_practical_Posting · 21,932
#26
Neet UG Counselling 2026
@NEET_counselling_2026 · 2,430
#27
University 2nd 3rd final year MBBS Papers
@university_2ndYearMbbsPaper · 10,878
#28
MBBS Flashcards 📚🩺🩻🥼👩‍⚕️👨‍⚕️🏥
@NEXTmbbsbooks · 527 (as read 18 September 2026)
#29
RGUHS/MBBS/Question Bank
@rguhsmbbs · 5,434
#30
MBBS Library 📚📚
@firstyearmbbslibrary · 1,426
#31
English & Reels
@c1vocabulary · 547
#32
Blum: All Crypto – One App
@blumcrypto · 13,485,698
#33
DOGS Community
@dogs · 6,725,405
#34
SBMU | Medical Students 🩺
@sbumedical · 838
#35
КРОК 1 [МЕДИКИ/СТОМАТ] yana.alhasan➡️[krok_academy]
@krok12yanaalhasan · 1,413
#36
КРОК 1 (підготовка)
@krok1_baza · 1,365
#37
STAR UPDATES
@star_updatesss · 8,568
#38
Neet PG MATRIALS
@nexpgmatriallll · 2,109
#39
Staff Nurse
@Staffnurses1 · 8,537
#40
1ST MBBS EXAM +NEXT BASIC + USMLE BASIC
@helptoallmedicalstudents · 2,155
#41
Rowdy Sports 🏏
@RowdySports · 615
#42
Hollywood Club 🎬
@HollywoodClubTG · 2,261
#43

Read from Telegram’s recommendation API, most recently 18 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.

1st Year MBBS Notes
@MBBS_1st_YearNotes · 52,858
Telegram ranks this channel #7 of 39 here — alongside 38 others — read 4 September 2026
PHYSIO ki Pathshala 🦚 by Ashish
@agrawalashish · 23,619
Telegram ranks this channel #10 of 42 here — alongside 41 others — read 17 September 2026
JOHARI MBBS LECTURES | YOUTUBE
@joharimbbsofficial · 180,740
Telegram ranks this channel #26 of 72 here — alongside 71 others — read 27 September 2026
Mbbs Practical VIVA Spotting histology clinical posting
@mbbs_practical_Posting · 21,932
Telegram ranks this channel #28 of 60 here — alongside 59 others — read 27 September 2026

This channel appears in 4 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 October 2026 — this entry's latest reading, not the date you are reading this.

“Physiology notes & mcq's mbbs 1 St year” (@physiology_mbbs_notes), 23,420 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/physiology_mbbs_notes.

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.