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Channel

Medical channels and bots

@bots772

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

8,165subscribers

+423 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 live26 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/bots772

Topic

Software piracy — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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

7,7428,1657,953.56 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 subscribers31 August 2026 — 7,893 subscribers4 September 2026 — 7,914 subscribers10 September 2026 — 7,934 subscribers13 September 2026 — 7,956 subscribers17 September 2026 — 7,964 subscribers26 September 2026 — 8,165 subscribers6 August 202626 September 2026
15 measurements spanning 51 days, net +423. 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 7,679–8,228 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 21:588,165+201
17 Sept 2026, 16:007,964+8
13 Sept 2026, 19:577,956+22
10 Sept 2026, 09:407,934+20
4 Sept 2026, 19:557,914+21
31 Aug 2026, 20:147,893+71
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 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 18 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 19 posts for this entry, the most recent from 22 August 2026. An engagement rate over an empty window would be a number about nothing.

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 72 reactions 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

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❤3

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

🚨 Starting a FREE USMLE Step 1 Accountability System for serious aspirants. Daily tasks • System-wise revision • Accountability • Live revision sessions • Error tracking If you want consistency and structured preparation, join us now 👇 📌 Group Link: https://t.me/USMLEedge_01 📌 Channel Link: https://t.me/USMLEedge_15 USMLEedge 🔥 Consistency → Pattern Recognition → Score Improvement

❤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.

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

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Medical channels and bots” (@bots772), 8,165 subscribers as measured 26 September 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.