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 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
58 measurements spanning 91 days, net +1,972. 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 15,901–18,465 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
6 Nov 2026, 15:14
18,169
+6
4 Nov 2026, 11:47
18,163
+12
3 Nov 2026, 09:01
18,151
+7
2 Nov 2026, 09:27
18,144
+1
1 Nov 2026, 10:16
18,143
-6
31 Oct 2026, 13:16
18,149
+9
30 Oct 2026, 16:10
18,140
+17
29 Oct 2026, 12:41
18,123
+1
28 Oct 2026, 12:29
18,122
+2
27 Oct 2026, 12:30
18,120
+5
25 Oct 2026, 11:27
18,115
+11
24 Oct 2026, 12:00
18,104
-1
23 Oct 2026, 08:35
18,105
+17
22 Oct 2026, 07:29
18,088
+18
21 Oct 2026, 03:17
18,070
+40
19 Oct 2026, 23:34
18,030
+39
19 Oct 2026, 00:04
17,991
+45
17 Oct 2026, 20:40
17,946
+12
16 Oct 2026, 19:57
17,934
+18
15 Oct 2026, 17:28
17,916
first reading
Engagement
68 posts held, back to 1 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.9%
avg views ÷ 18,169 subscribers
Avg views / post
2,890
12 posts measured
Reaction rate
0.069%
reactions ÷ views · ER floor
Posts in window
12
of 68 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 10 of 12 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 5 November 2026
Posts held
68 (1 October 2025 – 5 November 2026)
Views total
34,730
Reactions total
22
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 15:50 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
23
Links
163
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
305 reactions across 56 posts, in 9 distinct kinds. The most used accounts for 78.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
240
78.7%
🆒
27
8.85%
🔥
12
3.93%
👍
8
2.62%
👎
7
2.30%
👏
6
1.97%
😭
2
0.656%
🥰
2
0.656%
🤔
1
0.328%
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 61 of the 68 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 305 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 68 most recent posts we hold, published 1 October 2025 to 5 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: 0 of 12 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).
A 48-year-old man with decompensated cirrhosis and severe alcoholic hepatitis (Maddrey Discriminant Function = 38) requires corticosteroid therapy. Why is oral Prednisolone preferred over oral Prednisone in this patient?
Prednisolone has zero mineralocorticoid activity14%
Prednisolone is directly active and bypasses hepatic 11-Beta-HSD1 conversion62%
Prednisolone selectively blocks COX-2 in Kupffer cells19%
Prednisone is excreted 100% unchanged by the biliary tract5%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A patient taking Mirtazapine 15 mg at bedtime complains of severe morning grogginess. His psychiatrist increases the dose to 30 mg, and his daytime sedation improves. Which mechanism explains why higher doses of Mirtazapine are LESS sedating?
Downregulation of hepatic CYP2D6 active metabolites27%
A 32-year-old man started on Trazodone for SSRI-induced insomnia presents to the ED with a painful erection lasting 6 hours. Blockade of which receptor is responsible for this adverse effect, and what is the first-line pharmacologic antidote?
5-HT2A blockade — Treat with IV Cyproheptadine8%
Alpha-1 blockade — Treat with Intracavernosal Phenylephrine58%
Histamine H1 blockade — Treat with IV Diphenhydramine17%
Muscarinic M3 blockade — Treat with IV Physostigmine17%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 28-year-old patient with Bipolar I Depression improves significantly on Quetiapine 300 mg/day. Which hepatic metabolite and mechanism primarily mediates Quetiapine's antidepressant efficacy at this moderate dose?
A 34-year-old woman on Fluoxetine takes Tramadol for an ankle fracture. She has poor pain relief and presents with fever (39.4°C), agitation, diaphoresis, and ankle clonus. What explains BOTH findings?
A 62-year-old man with severe diabetic peripheral neuropathy and a known CYP2D6 poor metabolizer genotype requires a centrally acting analgesic. Why is Extended-Release Tapentadol effective in this patient whereas Tramadol fails?
It is a prodrug activated exclusively by hepatic CYP3A421%
It is directly active(MOR agonist+NRI)and cleared via PhaseII glucuronidation without needing CYP2D664%
It selectively blocks COX-2 in dorsal root ganglia10%
It irreversibly inhibits monoamine oxidase-B6%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
A patient taking chronic Extended-Release Oxycodone is started on Clarithromycin for atypical pneumonia. Three days later, he develops severe lethargy, pinpoint pupils, and a respiratory rate of 6/min. Which mechanism best explains this acute interaction?
Induction of CYP2D6 causing rapid conversion to Noroxycodone29%
Inhibition of hepatic CYP3A4 blocking the major clearance pathway of Oxycodone56%
Direct displacement of Oxycodone from renal tubular transporters6%
Upregulation of blood-brain barrier P-glycoprotein efflux pumps9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A patient with a glioblastoma receives IV Dexamethasone for vasogenic cerebral edema. The next morning, he is afebrile, but his WBC count is 17,500/mm³ with 0% bands. What is the primary mechanism responsible for this lab finding?
Occult nosocomial bacterial sepsis8%
Downregulation of endothelial adhesion molecules (Demargination)44%
Inhibition of leukocyte apoptosis in lymph nodes25%
Direct stimulation of IL-2 transcription22%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
A 6-day-old breastfed newborn presents to the ED with severe lethargy, pinpoint pupils, and respiratory rate of 8/min. His mother has been taking Codeine for episiotomy pain. Which maternal genetic variation explains this infant's condition?
CYP2C9 poor metabolizer39%
CYP2D6 ultra-rapid metabolizer29%
UGT1A1 deficiency16%
NAT2 slow acetylator16%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 68-year-old patient on Lisinopril and Hydrochlorothiazide starts taking Naproxen for knee osteoarthritis. 4 days later, his serum creatinine doubles. How did Naproxen precipitate this acute kidney injury?
Dilating the efferent arteriole11%
Constricting the afferent arteriole46%
Direct acute tubular necrosis27%
Blocking aldosterone receptors15%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 68 posts we hold for @medical_library25. 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 6 most recent of 11 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.
A 48-year-old man with decompensated cirrhosis and severe alcoholic hepatitis (Maddrey Discriminant Function = 38) requires corticosteroid therapy. Why is oral Prednisolone preferred over oral Prednisone in this patient?
Prednisolone has zero mineralocorticoid activity14%
Prednisolone is directly active and bypasses hepatic 11-Beta-HSD1 conversion62%
Prednisolone selectively blocks COX-2 in Kupffer cells19%
Prednisone is excreted 100% unchanged by the biliary tract5%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A patient taking Mirtazapine 15 mg at bedtime complains of severe morning grogginess. His psychiatrist increases the dose to 30 mg, and his daytime sedation improves. Which mechanism explains why higher doses of Mirtazapine are LESS sedating?
Downregulation of hepatic CYP2D6 active metabolites27%
A 32-year-old man started on Trazodone for SSRI-induced insomnia presents to the ED with a painful erection lasting 6 hours. Blockade of which receptor is responsible for this adverse effect, and what is the first-line pharmacologic antidote?
5-HT2A blockade — Treat with IV Cyproheptadine8%
Alpha-1 blockade — Treat with Intracavernosal Phenylephrine58%
Histamine H1 blockade — Treat with IV Diphenhydramine17%
Muscarinic M3 blockade — Treat with IV Physostigmine17%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 28-year-old patient with Bipolar I Depression improves significantly on Quetiapine 300 mg/day. Which hepatic metabolite and mechanism primarily mediates Quetiapine's antidepressant efficacy at this moderate dose?
A 34-year-old woman on Fluoxetine takes Tramadol for an ankle fracture. She has poor pain relief and presents with fever (39.4°C), agitation, diaphoresis, and ankle clonus. What explains BOTH findings?
A 62-year-old man with severe diabetic peripheral neuropathy and a known CYP2D6 poor metabolizer genotype requires a centrally acting analgesic. Why is Extended-Release Tapentadol effective in this patient whereas Tramadol fails?
It is a prodrug activated exclusively by hepatic CYP3A421%
It is directly active(MOR agonist+NRI)and cleared via PhaseII glucuronidation without needing CYP2D664%
It selectively blocks COX-2 in dorsal root ganglia10%
It irreversibly inhibits monoamine oxidase-B6%
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 68 most recent posts we hold, published 1 October 2025 to 5 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.
Mentions
Names
Channels on the register whose handles appear in this channel's 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.
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.
Medical Books @MedicalBooksStoreA · 43,850 Telegram ranks this channel #3 of 67 here — alongside 66 others — read 29 August 2026
Boards and Beyond 2024 @Boards_Beyond_videos · 43,049 Telegram ranks this channel #4 of 76 here — alongside 75 others — read 30 August 2026
📚Medicine Books📚 @medallbooks · 45,795 Telegram ranks this channel #4 of 62 here — alongside 61 others — read 28 August 2026
orthopedic surgery books @orthobooksandlectures · 21,207 Telegram ranks this channel #10 of 66 here — alongside 65 others — read 25 September 2026
Medical Guidelines 2025_2026 @Mmmmmm221234 · 37,433 Telegram ranks this channel #26 of 66 here — alongside 65 others — read 2 September 2026
Uworld USMLE 2024 @Uworld_USMLE_2023 · 22,270 Telegram ranks this channel #27 of 75 here — alongside 74 others — read 21 September 2026
MBFD2018 @mbfd2018 · 77,739 Telegram ranks this channel #27 of 64 here — alongside 63 others — read 21 August 2026
My Sarkari Naukri @mysarkarinaukri · 27,222 Telegram ranks this channel #34 of 63 here — alongside 62 others — read 12 September 2026
UPDATES IN MEDICINE @Updates_in_Medicine · 49,449 Telegram ranks this channel #41 of 74 here — alongside 73 others — read 26 August 2026
Family Physician @FamilyPhysician_1 · 28,425 Telegram ranks this channel #42 of 75 here — alongside 74 others — read 10 September 2026
Oxford Handbooks @Oxfordhandbookk · 21,615 Telegram ranks this channel #43 of 74 here — alongside 73 others — read 26 September 2026
Osmosis @osmosis_mogahed772 · 68,518 Telegram ranks this channel #45 of 75 here — alongside 74 others — read 26 August 2026
Internal medicine Videos and Books 📚 @Internal_medicine_material · 20,833 Telegram ranks this channel #52 of 80 here — alongside 79 others — read 26 September 2026
Pharmacology @pharmacology2017 · 32,036 Telegram ranks this channel #54 of 80 here — alongside 79 others — read 5 September 2026
Learn ECG Easily @ECG_Videoes · 21,943 Telegram ranks this channel #56 of 73 here — alongside 72 others — read 21 September 2026
Dr.k.ahmadi @drkahmadi · 18,984 Telegram ranks this channel #59 of 85 here — alongside 84 others — read 5 October 2026
Pediatrics & Neonatology Journals [Ahmed Manfy] @AhmedManfyJournals · 34,224 Telegram ranks this channel #62 of 73 here — alongside 72 others — read 20 September 2026
Polite Doctor🩺 @skills_first · 43,511 Telegram ranks this channel #63 of 73 here — alongside 72 others — read 29 August 2026
Al-Azhar Assiut Medical School @AlAzharAssiutMedicalSchool · 26,718 Telegram ranks this channel #65 of 73 here — alongside 72 others — read 13 September 2026
Internal Medicine - Medicina Interna @loacro01 · 30,944 Telegram ranks this channel #68 of 72 here — alongside 71 others — read 7 September 2026
Physiology @physiology_yaqob · 33,589 Telegram ranks this channel #68 of 82 here — alongside 81 others — read 4 September 2026
CRITICAL CARE Medicine @criticalcaremedicin · 22,200 Telegram ranks this channel #69 of 78 here — alongside 77 others — read 24 September 2026
doctor's notebook @doctorsnotebooks · 25,719 Telegram ranks this channel #70 of 75 here — alongside 74 others — read 16 September 2026
Surgery Videos and Books @Surgery_Videose · 36,112 Telegram ranks this channel #70 of 73 here — alongside 72 others — read 2 September 2026
This channel appears in 28 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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Medical Books” (@medical_library25), 18,169 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/medical_library25.
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.