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Channel

Medical channels and bots

@bots772

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,822subscribers

+80 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001990471212
TypeChannel
Username@bots772
CreatedBetween 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live28 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/bots772

Growth

7,7427,8227,7826 August 2026 — 7,742 subscribers6 August 2026 — 7,743 subscribers9 August 2026 — 7,748 subscribers12 August 2026 — 7,758 subscribers16 August 2026 — 7,761 subscribers19 August 2026 — 7,767 subscribers22 August 2026 — 7,791 subscribers25 August 2026 — 7,806 subscribers28 August 2026 — 7,822 subscribers6 August 202628 August 2026
9 measurements spanning 22 days, net +80. 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 7,730–7,834 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 17:247,822+16
25 Aug 2026, 13:077,806+15
22 Aug 2026, 14:127,791+24
19 Aug 2026, 10:587,767+6
16 Aug 2026, 08:067,761+3
12 Aug 2026, 21:577,758+10
9 Aug 2026, 18:117,748+5
6 Aug 2026, 20:587,743+1
6 Aug 2026, 18:047,742first reading

Engagement

19 posts held, back to 2 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
45.4%
avg views ÷ 7,822 subscribers
Avg views / post
3,550
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 August 2026
Posts held19 (2 January 202622 August 2026)
Views total10,647
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 20:26 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
25
Links
83

Lifetime counters from Telegram’s own channel header, read 28 August 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

72 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 70.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5170.8%
👏912.5%
🥰79.72%
🔥22.78%
👍11.39%
💯11.39%
😁11.39%

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 15 of the 19 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 72reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 2 January 2026 to 22 August 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

22 Aug 2026, 14:31 UTC307 viewsread 28 August 2026
Forwarded from @Qbankly_Official

🧠 Your medical prep is stuck in the past. Let’s upgrade it.🛑 Imagine having ᴜWᴏʀʟᴅ, ᴀᴍBᴏꜱꜱ, NBME forms, and Sketchy videos open in one seamless dashboard. No more switching tabs. No more paying for five different subscriptions. 💻 We brought THE OFFICIAL MEDICAL RESOURCES you trust under one roof. Built for 2026, Qbankly is the complete ecosystem for the USMLE, PLAB, MCCQE, and AMC, utilizing next-gen AI and interac

15 Jun 2026, 11:54 UTC≈10,700 views5 reactionsread 28 August 2026

🤍 رسائل دينية، اقتباسات ملهمة، وكلمات جميلة تُضيف ليومك أثرًا طيبًا.. ✅https://t.me/stories_lulu

5

28 May 2026, 15:45 UTC≈30,200 views8 reactionsread 28 August 2026

✅Mehlmann Medical High Yield 🎁

3👏3🥰2

19 May 2026, 14:29 UTC≈17,500 views3 reactionsread 28 August 2026
Photo

Exam Real interface Time mode Data synchronization AI 2 days free trail before buying Qbankly is the complete ecosystem: Videos, AI Personal Assistant, and top-tier Qbanks (ᴜWᴏʀʟᴅ, ᴀᴍBᴏꜱꜱ... ) for a fraction of the cost. 👇 INSTANT ACCESS TO PREMIUM QBANKS: ✅ ᴜWᴏʀʟᴅ ✅ ᴀᴍBᴏꜱꜱ ✅ Mᴇʜʟᴍᴀɴ✅Bᴏᴀʀᴅꜱ ᴀɴᴅ Bᴇyᴏɴᴅ 2025 (NEW!) ✅ NBME Step1&2 - CMS Forms ✅ CᴀɴᴀᴅᴀQʙᴀɴᴋ✅ PᴀꜱꜱMᴇᴅɪᴄɪɴᴇ ✅ ᴇMᴇᴅɪᴄɪ ✅ AᴄᴇQʙᴀɴᴋ ✅ ᴍPʟᴜꜱX ...plus USMLE Hig

3

15 May 2026, 18:14 UTC≈18,900 views4 reactionsread 28 August 2026
Photo

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2👏1🥰1

1 Apr 2026, 13:31 UTC≈6,390 views5 reactionsread 28 August 2026

Medical books Jaypee brother Books https://t.me/+3kqzKOUaBqQ3OTdk Medical books https://t.me/+lHr3BzrjZP4yNWQ0 Medical series books https://t.me/+Qsg_BFly7IszY2Y0 Gyne and Obs books https://t.me/+QN6Y7iic8OpmY2Jk Critical care medicine Books https://t.me/+IVjL3thKf5hkNTZk Psychiatry books https://t.me/+kfpB5Ar5uywxYTI0 Books requested by subscribers https://t.me/Bookss772 Medical Books store https://t.me/medical_book

5

31 Mar 2026, 20:23 UTC≈90,600 views10 reactionsread 28 August 2026

✅Best Medical channels Collections 1⃣Amboss Amboss library 2026 https://t.me/+EPBJ81TAMTRiNTRk Amboss qbanks https://t.me/+bCGv6UpOsW4yYjE0 Amboss algorithm&Pictures https://t.me/+JVDCi6cDEesyZWM8 Amboss group https://t.me/+QFMwFsxOteo4Mjhk Amboss Bot @Amboss772Bot 2⃣Ninja nerd Ninja nerd Notes https://t.me/Notes_772 Ninja nerd videos https://t.me/Ninja7722 Ninja nerd nursing https://t.me/Nursing7722 Ninja nerd medic

7🔥2😁1

13 Feb 2026, 13:18 UTC≈18,700 views8 reactionsread 28 August 2026

🎖The Best Medical Courses — The Most Popular Courses of 2026 Now at Discounted Price Heart Rhythm Society Heart Rhythm On Demand Full Program 2025 https://medicalamboss.com/product/heart-rhythm-society-heart/ Houston Methodist 10th Annual Sepsis Symposium Outcomes and Impact of Sepsis 2025 https://medicalamboss.com/product/houston-methodist-10th-annual-sepsis-symposium-outcomes-and-impact-of-sepsis-2025/ Houston

8

Showing the 12 most recent of 19 posts we hold for @bots772. 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.

Citation-graph rank

Citation-graph rank — 361,532 of 1,625,954entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

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.

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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“Medical channels and bots” (@bots772), 7,822 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/bots772.

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.