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Channel

Physiology

@physiology_yaqob

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

33,585subscribers

-64 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-1001335398005
TypeChannel
Username@physiology_yaqob
DescriptionFor Cross Promotion, Ads, Suggetions, Copyright Issues Contact: @YAQOB2022 بوت ديجرام د ناجي👇 @Diagram_Nagi_Bot لإقتراحاتكم وطلباتكم : @Physiology_yaqobbot بالنماذج والتفريغات👇 @MCQs_mogahedbot
Created4 June 2018 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/physiology_yaqob

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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

33,57133,67133,6216 August 2026 — 33,649 subscribers6 August 2026 — 33,655 subscribers7 August 2026 — 33,660 subscribers8 August 2026 — 33,658 subscribers10 August 2026 — 33,654 subscribers10 August 2026 — 33,649 subscribers11 August 2026 — 33,646 subscribers12 August 2026 — 33,651 subscribers14 August 2026 — 33,657 subscribers15 August 2026 — 33,669 subscribers16 August 2026 — 33,668 subscribers17 August 2026 — 33,669 subscribers19 August 2026 — 33,670 subscribers20 August 2026 — 33,668 subscribers21 August 2026 — 33,671 subscribers22 August 2026 — 33,664 subscribers24 August 2026 — 33,655 subscribers25 August 2026 — 33,642 subscribers26 August 2026 — 33,639 subscribers27 August 2026 — 33,630 subscribers28 August 2026 — 33,628 subscribers29 August 2026 — 33,623 subscribers30 August 2026 — 33,636 subscribers31 August 2026 — 33,629 subscribers1 September 2026 — 33,625 subscribers2 September 2026 — 33,635 subscribers3 September 2026 — 33,627 subscribers6 September 2026 — 33,624 subscribers9 September 2026 — 33,620 subscribers12 September 2026 — 33,597 subscribers13 September 2026 — 33,585 subscribers15 September 2026 — 33,589 subscribers17 September 2026 — 33,582 subscribers25 September 2026 — 33,571 subscribers4 October 2026 — 33,630 subscribers8 October 2026 — 33,658 subscribers14 October 2026 — 33,655 subscribers15 October 2026 — 33,658 subscribers16 October 2026 — 33,640 subscribers17 October 2026 — 33,645 subscribers18 October 2026 — 33,623 subscribers19 October 2026 — 33,603 subscribers20 October 2026 — 33,601 subscribers21 October 2026 — 33,594 subscribers22 October 2026 — 33,591 subscribers23 October 2026 — 33,589 subscribers24 October 2026 — 33,594 subscribers25 October 2026 — 33,602 subscribers26 October 2026 — 33,598 subscribers27 October 2026 — 33,600 subscribers28 October 2026 — 33,598 subscribers29 October 2026 — 33,599 subscribers30 October 2026 — 33,592 subscribers1 November 2026 — 33,587 subscribers1 November 2026 — 33,584 subscribers2 November 2026 — 33,581 subscribers3 November 2026 — 33,576 subscribers4 November 2026 — 33,581 subscribers5 November 2026 — 33,585 subscribers33,5856 August 20265 November 2026
59 measurements spanning 92 days, net -64. 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 33,556–33,686 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
5 Nov 2026, 19:3933,585+4
4 Nov 2026, 19:0633,581+5
3 Nov 2026, 21:2033,576-5
2 Nov 2026, 21:4533,581-3
1 Nov 2026, 22:0633,584-3
1 Nov 2026, 00:2133,587-5
30 Oct 2026, 22:4533,592-7
29 Oct 2026, 21:1533,599+1
28 Oct 2026, 22:3033,598-2
27 Oct 2026, 20:3733,600+2
26 Oct 2026, 19:3733,598-4
25 Oct 2026, 22:1033,602+8
24 Oct 2026, 23:1933,594+5
23 Oct 2026, 22:2933,589-2
22 Oct 2026, 20:4233,591-3
21 Oct 2026, 17:2933,594-7
20 Oct 2026, 15:0633,601-2
19 Oct 2026, 11:5933,603-20
18 Oct 2026, 09:0633,623-22
17 Oct 2026, 08:0933,645first reading

Engagement

55 posts held, back to 10 February 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 165 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.23%
avg views ÷ 33,585 subscribers
Avg views / post
1,760
32 posts measured
Reaction rate
0.299%
reactions ÷ views · ER floor
Posts in window
32
of 55 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 25 of 32 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 October 2026
Posts held55 (10 February 2026 – 24 October 2026)
Views total56,238
Reactions total133
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 06:53 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
132
Videos
430
Links
172

Lifetime counters from Telegram’s own channel header, read 6 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

315 reactions across 40 posts, in 9 distinct kinds. The most used accounts for 41.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13041.3%
👏5417.1%
🔥5116.2%
🤩3511.1%
🥰288.89%
👍82.54%
😍61.90%
💔20.635%
😁10.317%

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 45 of the 55 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 315 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 55 most recent posts we hold, published 10 February 2026 to 24 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: 0 of 32 posts held from the last 30 days (0%) 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).

24 Oct 2026, 16:46 UTC≈1,070 viewsread 6 November 2026
Forwarded from @medicals_2017

Differential diagnosis Harrison book base

21 Oct 2026, 18:41 UTC≈2,000 views8 reactionsread 6 November 2026

0.9% NaCl (normal saline) is an isotonic solution with an osmolality similar to that of extracellular fluid (ECF). ECF volume: Increases by approximately 2 liters. ICF volume: Remains unchanged because the osmolarity of the ECF does not change significantly. Water movement: There is no significant net movement of water between the ECF and ICF.

🤩5❤3

21 Oct 2026, 18:31 UTC≈1,890 views2 reactionsread 6 November 2026
Poll

Two liters of 0.9% NaCl is administered to a 12-year old boy with moderate isotonic dehydration. What is the expected change in ICF volume after NaCl administration?

  1. A. No change46%
  2. B. Increase by 0.5 liter26%
  3. C. Increase by 2 liters23%
  4. D. Decrease by 0.5 liter3%
  5. E. Decrease by 2 liters3%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

💔2

21 Oct 2026, 12:22 UTC≈1,610 viewsread 6 November 2026
Poll

Which of the following contributes least to the osmolality of plasma?

  1. A. Glucose12%
  2. B. Proteins33%
  3. C. Sodium23%
  4. D. Urea32%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Oct 2026, 12:12 UTC≈1,540 views0 reactionsread 6 November 2026
Poll

Which compartment does the term “sucrose space " refer to ?

  1. A. Extracellular fluid (ECF)28%
  2. B. Interstitial fluid (ISF)33%
  3. C. Intracellular fluid (ICF)18%
  4. D. Plasma21%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Oct 2026, 12:10 UTC≈1,420 views0 reactionsread 6 November 2026
Poll

Which of the following markers administered intravenously distributes exclusively in intracellular fluid?

  1. A. Evans blue dye22%
  2. B. Heavy water27%
  3. C. Sucrose24%
  4. D. None of the above27%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

17 Oct 2026, 15:09 UTC≈1,720 viewsread 6 November 2026

In each of the following questions, select the "single best" response unless instructed otherwise

Showing the 12 most recent of 55 posts we hold for @physiology_yaqob. 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 recorded as deleted after publishing

We recorded 1 post on @physiology_yaqob 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
19 October 2026
Most recent seen missing
19 October 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
1

Polls

The 6 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.

21 Oct 2026, 18:31 UTCAnonymous Quiz101 voters

Two liters of 0.9% NaCl is administered to a 12-year old boy with moderate isotonic dehydration. What is the expected change in ICF volume after NaCl administration?

  1. A. No change46%
  2. B. Increase by 0.5 liter26%
  3. C. Increase by 2 liters23%
  4. D. Decrease by 0.5 liter3%
  5. E. Decrease by 2 liters3%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

21 Oct 2026, 12:22 UTCAnonymous Quiz173 voters

Which of the following contributes least to the osmolality of plasma?

  1. A. Glucose12%
  2. B. Proteins33%
  3. C. Sodium23%
  4. D. Urea32%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Oct 2026, 12:12 UTCAnonymous Quiz109 voters

Which compartment does the term “sucrose space " refer to ?

  1. A. Extracellular fluid (ECF)28%
  2. B. Interstitial fluid (ISF)33%
  3. C. Intracellular fluid (ICF)18%
  4. D. Plasma21%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Oct 2026, 12:10 UTCAnonymous Quiz78 voters

Which of the following markers administered intravenously distributes exclusively in intracellular fluid?

  1. A. Evans blue dye22%
  2. B. Heavy water27%
  3. C. Sucrose24%
  4. D. None of the above27%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

22 May 2026, 17:21 UTCAnonymous Quiz639 voters

The activation of which clotting factor is crucial for the extrinsic mechanism of blood coagulation?

  1. A. V9%
  2. B. VII47%
  3. C. VIII28%
  4. D. X16%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

22 May 2026, 17:17 UTCAnonymous Quiz729 voters

Which of the WBCs rise in number in parasitic infections?

  1. A. Monocyte14%
  2. B. Basophil17%
  3. C. Eosinophil57%
  4. D. Neutrophil13%

Shares as published, totalling 101%. 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 55 most recent posts we hold, published 10 February 2026 to 24 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

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.

تجميعات للدكتور وليد الذاهبي
@DrWaleed2020 · 3,128
#1
internal medicine
@easymedicine7 · 29,502
#2
محتوى الطب البشري جامعة الحكمة
@Golden1hawk1 · 7,966
#3
قناة الفهرس الطبي doctor data links
@Index_of_medical_channels · 8,743
#4
Blood_lymph_System
@Blood_lymph · 2,146
#5
Osmosis
@osmosis_mogahed772 · 68,510
#6
يعقوب السميعي
@Yaqob_alsomae · 1,322
#7
Physiology MCQ
@All_Physiology_MCQ · 4,003
#8
تفريغات مواد طبية
@tafrighat · 47,316
#9
SCFB21-Pediatrics 👶🩺
@SCFB21_Pediatrics · 1,238
#10
Pharmacology
@pharmacology2017 · 32,036
#11
Surgery 🔪
@surgery772 · 11,058
#12
مراجع و كتب و برامج طبية
@medicalrefrencess · 53,553
#13
Medical MCQs🩺
@medical_MCQs_official · 16,721
#14
فسيولوجي-Level4
@physiologylevel3 · 1,192
#15
Polite Doctor🩺
@skills_first · 43,511
#16
Surgery⁵
@SurgeryBatch5 · 693 (as read 4 September 2026)
#17
Medical books store 📚
@CNS_MEDKBOOK · 16,059
#18
اقرب من الطب وغنيله🔰
@Med_Is_Fun · 16,870
#19
نماذج و اختبارات الدفعة السابعة طب عام وجراحة
@SC7MCQ · 1,265
#20
GIT System
@GIT_first · 12,698
#21
Hematology system
@Blood_module_Fahd · 5,389
#22
🛰 برامج ومراجع طبية📱📚Applications and Medical References
@km77027medical · 9,321
#23
اللجنة العلمية للدفعة الخامسة طب بشري
@ScientifiChannelHumanMedicine · 1,389
#24
Clinical Practice guidelines
@ClinicalPharmGuideline · 62,476
#25
MusculoSkeletal Systems
@MSK_SYS_TEM · 10,223
#26
كل ما يحتاجة طالب الطب
@formedicalstudent · 5,996
#27
GIT system
@GIT_SYS · 2,884
#28
قسم Pathology الدفعة السابعة |USF|
@Pathology_th7 · 1,621
#29
Physiology🩸
@IRAN_PHYSIOLOGY · 942
#30
EasyG | Yassen Ayad
@yassenayad · 15,048
#31
ANESTHESIA BOOKS
@anesthesia110 · 4,707
#32
فريق سواعد وبناء
@Sawad_Wa_Banaa_Team · 5,467
#33
اللجنة العلمية - مستوى خامس [ ➅ ] 📚
@USF_amran_medecin_5 · 999
#34
Dr Alaa Fathy Elsaid, Critical Care, MD
@alaafathyelsaid · 4,846
#35
INTERNAL MEDICINE
@tib131278 · 6,894
#36
Medical information
@pqe1xeI8MtIwNWY6 · 2,486
#37
Medicine Way | MW
@Medicine_Way2 · 134,229
#38
Kaplan Step 2 CK (videos)
@Kaplan_USMLE2 · 8,659
#39
Sciencosis ExcEptionalis(SEE) 🩺
@Sciencosis · 1,149
#40
𝐙𝐚𝐠 𝐄𝐱𝐚𝐦 54
@zagexams2021 · 7,422
#41
Clinical
@ClinicalChannel · 1,315
#42
Medical Notes( NINJA Nerd) 📝
@Notes_772 · 82,515
#43
CardioVascular System
@cardio_vascular_system · 11,296
#44
Clinical pharmacology 👑
@be_doctor2 · 17,651
#45
𝘴𝘵𝘶𝘥𝘺 𝘸𝘪𝘵𝘩 𝘮𝘦 📚
@MED_SWM · 4,580
#46
نماذج إمتحانات كلية الطب والعلوم الصحية جامعة عمران
@exams_forms_A_U_M_C · 2,044
#47
Medical Guidelines 2025_2026
@Mmmmmm221234 · 37,407
#48
Amboss Yemen
@Ambossyemen · 8,242
#49
المكتبه الطبيه الإلكترونيه Genius
@MuGUST · 2,483
#50
Urogenital System
@uro_first · 11,774
#51
المرجعية الطبية 🩺🥼
@ambtionandsuccess · 1,606
#52
Surgery Videos and Books
@Surgery_Videose · 36,106
#53
Internal Medicine
@inter_first · 30,341
#54
"Armando" videos&PDF
@Armando_Hasudungan_Videos · 4,168
#55
Golden Encyclopedia of Medicine
@golencmedical · 3,957
#56
2nd Stage
@Dr_2nd · 13,216
#57
Anatomy
@Anatomy_Fahd · 9,396
#58
Osmosis
@JustOsmosis · 59,466
#59
Dr. Wahdan Surgery د. وهدان
@WahdanSurgery · 14,220
#60
Endocrine system
@Endocrine_system · 5,464
#61
Yaqob Hamood
@Yaqob_Hamood · 4,875
#62
🔵تجميعات مستوى ثاني-طب بشري-جامعة ذمار🔵
@lev2el · 998
#63
Respiratory MCQ
@all_Respiratory_MCQ · 2,805
#64
SCFB 21-Surgery💉🩺
@SCFB21_Surgery · 1,995
#65
المكتبة الطبية الإلكترونية م1
@USFMedicineDr1 · 1,090
#66
🔴تجميعات مستوى ثالث_طب بشري_جامعة ذمار🔴
@lev3el · 1,009
#67
Medical Books
@medical_library25 · 18,163
#68
معلومات عامة 39
@Lab_39 · 641 (as read 4 September 2026)
#69
pediatric MCQ
@All_pediatric_MCQ · 2,617
#70
Medical Notes
@Aseel_Al_Humidi · 11,495
#71
Medical MCQ
@MCQ_MCQ_Fahd · 8,493
#72
Blood MCQ
@Blood_MCQ · 3,062
#73
Cardiology Updates
@Cardiology_Updates · 20,502
#74
ملتقى طلاب جامعات اليمن
@genisdhamr1 · 8,507
#75
Cardiology
@Cardiography_Videos · 49
#76
Internal medicine Lectures, books,Mcqs & usmle💊
@internalM7 · 13,417
#77
يوميــات طالــب جامعــي | Yawmiat talab
@YawmiatTalabUSF · 235
#78
SCFB 21-Internal Medicine 🥼🩺
@SCFB21_Internalmedicine · 1,449
#79
روسی لند
@rusiland1 · 1,383
#80
“Echocardiography Channel“Azin Alizadehasl, FASE
@echocardiograph · 9,773
#81
جامعة ذمار | USF
@USFDhamar · 17,538
#82

Read from Telegram’s recommendation API, most recently 4 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.

Pharmacology
@pharmacology2017 · 32,036
Telegram ranks this channel #3 of 80 here — alongside 79 others — read 5 September 2026
مراجع و كتب و برامج طبية
@medicalrefrencess · 53,553
Telegram ranks this channel #8 of 83 here — alongside 82 others — read 24 August 2026
قناة البوت الطبي 👨🏻‍⚕️
@Medical_MhM · 85,260
Telegram ranks this channel #9 of 81 here — alongside 80 others — read 5 September 2026
تفريغات مواد طبية
@tafrighat · 47,316
Telegram ranks this channel #9 of 86 here — alongside 85 others — read 26 August 2026
Osmosis
@osmosis_mogahed772 · 68,510
Telegram ranks this channel #18 of 75 here — alongside 74 others — read 26 August 2026
Medical Notes( NINJA Nerd) 📝
@Notes_772 · 82,515
Telegram ranks this channel #21 of 76 here — alongside 75 others — read 26 August 2026
internal medicine
@easymedicine7 · 29,502
Telegram ranks this channel #27 of 73 here — alongside 72 others — read 8 September 2026
Boards and Beyond 2026
@Boards_Beyond · 47,947
Telegram ranks this channel #32 of 68 here — alongside 67 others — read 27 August 2026
Medical USMLE
@kaplanusmles · 43,662
Telegram ranks this channel #37 of 74 here — alongside 73 others — read 28 August 2026
Kaplan Videos | Step 1 | 2 CK | 3
@USMLEKaplan · 61,057
Telegram ranks this channel #42 of 74 here — alongside 73 others — read 26 August 2026
Osmosis
@JustOsmosis · 59,466
Telegram ranks this channel #48 of 80 here — alongside 79 others — read 26 August 2026
Ninja Nerd Notes
@NinjaNerd_Notes · 74,823
Telegram ranks this channel #59 of 75 here — alongside 74 others — read 26 August 2026

This channel appears in 12 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Physiology” (@physiology_yaqob), 33,585 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/physiology_yaqob.

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.