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Channel

Pathology + Pharmacology

@PathoPharma1

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

1,849subscribers

-16 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002817739050
TypeChannel
Username@PathoPharma1
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held11
Confirmed unchanged3 times, most recently 18 September 2026
On Telegramt.me/PathoPharma1

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 16 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

1,8491,8701,859.57 August 2026 — 1,865 subscribers7 August 2026 — 1,865 subscribers10 August 2026 — 1,863 subscribers14 August 2026 — 1,865 subscribers17 August 2026 — 1,868 subscribers23 August 2026 — 1,870 subscribers26 August 2026 — 1,868 subscribers29 August 2026 — 1,865 subscribers1 September 2026 — 1,861 subscribers5 September 2026 — 1,855 subscribers10 September 2026 — 1,849 subscribers7 August 202610 September 2026
11 measurements spanning 34 days, net -16. 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 1,846–1,873 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 18:411,849-6
5 Sept 2026, 20:161,855-6
1 Sept 2026, 18:541,861-4
29 Aug 2026, 23:461,865-3
26 Aug 2026, 13:131,868-2
23 Aug 2026, 18:161,870+2
17 Aug 2026, 09:351,868+3
14 Aug 2026, 02:091,865+2
10 Aug 2026, 11:131,863-2
7 Aug 2026, 15:321,865no change
7 Aug 2026, 13:171,865first reading

Engagement

20 posts held, back to 11 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 17 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

7 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
685.7%
👍114.3%

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 8 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 7 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 11 May 2026 to 17 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

17 Jul 2026, 09:45 UTC195 views1 reactionsread 7 August 2026

Addison disease (Primary adrenal insufficiency) Autoimmune Addison disease → Bilateral diffuse cortical atrophy (most common) Tuberculous Addison disease → Enlarged adrenal glands initially; later may become atrophic and calcified

👍1

9 Jul 2026, 06:54 UTC346 viewsread 7 August 2026

Most common gallstone: Cholesterol stone. Most common complication of gallstones: Cholecystitis. Black pigment stones: Chronic hemolytic anemia. Brown pigment stones: CBD infection. Gold standard for gallstones: Ultrasound. Murphy sign: Acute cholecystitis. Porcelain gallbladder → Gallbladder adenocarcinoma. Most common malignancy of the extrahepatic biliary tract: Gallbladder adenocarcinoma.

30 Jun 2026, 04:56 UTC446 viewsread 7 August 2026

Tricuspid atresia refers to complete obstruction of tricuspid orifice. It is a developmental disorderwhich arises due to unequal division of atrioventricular canal. This unequal division results in larger mitral valve. The right ventricle is hypoplastic. Individual with tricuspid atresia presents with cyanosis from newborn period

28 Jun 2026, 12:21 UTCviews —

Pathology + Pharmacology pinned «AFIP هو اختصار لـ Armed Forces Institute of Pathology. كان هذا المعهد الأمريكي يمتلك واحدة من أكبر مجموعات العينات والصور الباثولوجية في العالم، ولذلك فإن عبارة: AFIP images تعني أن الصور النسيجية أو العيانية مأخوذة من أرشيف معهد AFIP، وليست اسم مرض أو…»

28 Jun 2026, 12:20 UTC456 viewsread 7 August 2026

AFIP هو اختصار لـ Armed Forces Institute of Pathology. كان هذا المعهد الأمريكي يمتلك واحدة من أكبر مجموعات العينات والصور الباثولوجية في العالم، ولذلك فإن عبارة: AFIP images تعني أن الصور النسيجية أو العيانية مأخوذة من أرشيف معهد AFIP، وليست اسم مرض أو علامة مرضية. في مواقع الباثولوجي (مثل Pathology Outlines)، تُستخدم عبارة AFIP images للدلالة على أن الصور التعليمية مصدرها أرشيف هذا المعهد، وتشمل صورًا مجهرية (Hi

20 Jun 2026, 06:51 UTC518 viewsread 7 August 2026

https://claude.ai/public/artifacts/911d33c7-02d7-4ae6-b67f-a6fde34282fe

19 Jun 2026, 15:24 UTC440 views1 reactionsread 7 August 2026

http://youtube.com/post/Ugkx1qsXn9KKfBcSwmWM24Hqsm8Mix17DTg4?si=tLrPfnnwrBthm_9K

1

19 Jun 2026, 14:42 UTC421 views1 reactionsread 7 August 2026

https://claude.ai/share/bc2fb1f7-4bbc-416e-a9f8-7ca22b8b45ee

1

19 Jun 2026, 13:58 UTC340 views1 reactionsread 7 August 2026

http://youtube.com/post/UgkxaE5UX6hhWg2PlfNoX8CVqp7bzK4PWnfE?si=DrSSH6_nIIPwGA7g

1

Showing the 12 most recent of 20 posts we hold for @PathoPharma1. 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.

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.

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

“Pathology + Pharmacology” (@PathoPharma1), 1,849 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/PathoPharma1.

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.