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Channel

MED FACTS

@somamedfacts

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,158subscribers

+1,654 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002565727421
TypeChannel
Username@somamedfacts
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/somamedfacts

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 13 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@medzonell/13351 Aug 2026, 18:31 UTC@somamedfacts/4438 · this entry10 Aug 2026, 19:00 UTC1.009 days
@somamedfacts/4413 · this entry8 Aug 2026, 15:36 UTC@medzonell/13588 Aug 2026, 15:36 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@medzonell7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (4–3)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 32 comparable posts for this entry, running 4 August 2026 to 6 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @medzonell. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

4,5046,1875,345.57 August 2026 — 4,504 subscribers8 August 2026 — 4,505 subscribers11 August 2026 — 4,551 subscribers14 August 2026 — 4,588 subscribers17 August 2026 — 4,633 subscribers20 August 2026 — 4,688 subscribers23 August 2026 — 4,717 subscribers26 August 2026 — 4,756 subscribers30 August 2026 — 4,823 subscribers1 September 2026 — 4,949 subscribers5 September 2026 — 5,106 subscribers10 September 2026 — 5,348 subscribers14 September 2026 — 5,434 subscribers18 September 2026 — 5,816 subscribers28 September 2026 — 6,070 subscribers6 October 2026 — 6,072 subscribers12 October 2026 — 6,055 subscribers15 October 2026 — 6,179 subscribers18 October 2026 — 6,176 subscribers21 October 2026 — 6,185 subscribers23 October 2026 — 6,158 subscribers27 October 2026 — 6,178 subscribers30 October 2026 — 6,166 subscribers2 November 2026 — 6,181 subscribers5 November 2026 — 6,187 subscribers8 November 2026 — 6,179 subscribers13 November 2026 — 6,158 subscribers6,1587 August 202613 November 2026
27 measurements spanning 98 days, net +1,654. 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 4,252–6,439 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
13 Nov 2026, 20:096,158-21
8 Nov 2026, 23:206,179-8
5 Nov 2026, 11:396,187+6
2 Nov 2026, 06:456,181+15
30 Oct 2026, 08:396,166-12
27 Oct 2026, 04:066,178+20
23 Oct 2026, 20:306,158-27
21 Oct 2026, 01:116,185+9
18 Oct 2026, 06:366,176-3
15 Oct 2026, 16:066,179+124
12 Oct 2026, 14:576,055-17
6 Oct 2026, 00:426,072+2
28 Sept 2026, 17:406,070+254
18 Sept 2026, 21:595,816+382
14 Sept 2026, 10:575,434+86
10 Sept 2026, 20:215,348+242
5 Sept 2026, 17:185,106+157
1 Sept 2026, 19:344,949+126
30 Aug 2026, 03:054,823+67
26 Aug 2026, 18:094,756first reading

Engagement

63 posts held, back to 4 August 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 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.98%
avg views ÷ 6,158 subscribers
Avg views / post
245
29 posts measured
Reaction rate
2.09%
reactions ÷ views · ER floor
Posts in window
29
of 63 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 18 of 29 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 6 November 2026
Posts held63 (4 August 2026 – 6 November 2026)
Views total7,108
Reactions total98
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 16:40 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

Video runtime
46s
Average length
23s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

244 reactions across 41 posts, in 12 distinct kinds. The most used accounts for 50.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤12450.8%
🤣3715.2%
❤‍🔥2711.1%
💯156.15%
🔥104.10%
🍓93.69%
🤔62.46%
🕊52.05%
👌31.23%
😍31.23%
😭31.23%
🥰20.82%

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 42 of the 63 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 244 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 63 most recent posts we hold, published 4 August 2026 to 6 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: 1 of 29 posts held from the last 30 days (3.45%) 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).

6 Nov 2026, 16:32 UTC14 views1 reactionsread 6 November 2026
Forwarded from @Himma_Naf3

" أنا عند ظن عبدي، فليظُن عبدي بي ما يشاء " ما يشاء؟ - نعم ما يشاء! ولو عَظم المطلوب واستحالت الأسباب؟ - نعم، ولو عظم المطلوب واستحالت الأسباب! أحسِنوا الظن وألِحّوا وأكثروا، فاللَّه أجود وأكرم 🤍

❤1

6 Nov 2026, 08:23 UTC445 views4 reactionsread 6 November 2026
Photo

في يوم الجمعة لا تدع يومك يمر كغيره واجعل لسورة الكهف نصيبا من وقتك واقرأها بقلب حاضر مستشعرا فضل هذا اليوم وما فيه من أبواب الخير... ليست المسألة أن تنهي السورة سريعا وإنما أن تجعل بينك وبينها صلة تتجدد كل جمعة حتى تصبح من الأعمال التي تحرص عليها ولا تفرط فيها... وإذا كان يوم الجمعة يذكرك بسورة الكهف فاجعله كذلك يذكرك بأن لك مع القرآن عهدا لا ينقطع قراءة وتدبرا وحفظا ومراجعة... لا تؤجلها حتى آخر اليوم ولا تجعل …

❤4

5 Nov 2026, 20:22 UTC142 viewsread 6 November 2026
Photo

#3️⃣Cas_clinique La réponse : Penser à l'hydramnios → quantifier le liquide + rechercher une cause fœtale ou maternelle. @Somamedfacts

5 Nov 2026, 19:51 UTC142 viewsread 6 November 2026
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#2️⃣Cas_clinique Voici la réponse 👇 🟢 GEU non rompue et peu évolutive → indication classique du méthotrexate 🟠 Môle hydatiforme → le traitement initial est généralement une évacuation utérine par aspiration, notamment à l’aide d’une sonde de Karman. 🔴 Néoplasie trophoblastique gestationnelle (notamment certaines formes de môle invasive ou de choriocarcinome) → le méthotrexate peut être utilisé comme chimiothérapi…

5 Nov 2026, 19:36 UTC127 viewsread 6 November 2026
Photo

#1️⃣Cas_clinique 🟢 Réponse : rechercher une notion de retard de règles / date des dernières règles (DDR) ➡️ Cela permet d’orienter rapidement vers une grossesse extra-utérine (GEU) @Somamedfacts

5 Nov 2026, 19:34 UTC123 viewsread 6 November 2026

استعدوا! سننشر لكم مجموعة من الحالات السريرية (Cas cliniques) لتختبروا بها معلوماتكم 🎬🎬

5 Nov 2026, 18:14 UTC171 views11 reactionsread 6 November 2026

﴿ وَمَا تَوْفِيقِي إِلَّا بِاللَّهِ ﴾ رضا الله غايةٌ ومكسب، وكلُّ شيءٍ بعده يهون. هنا ضروري نشعر بالقهر والتقصير، وحتى البكاء! كم نحن مقصّرون في حق خالقنا! كم من مرة أبكتنا الدرجات، وكم من مرة أرهقنا أجسادنا فوق الكتب، وأتعبنا عقولنا، وكم من مرة تحطّمنا ويئسنا من أجل الدنيا! لكن، هل مرةً قهرنا أنفسنا بسبب تأخير الصلاة، أو التقصير في قراءة القرآن، أو التصدّق، أو الذكر، أو قلّة ثقتنا بالله في مثل هذه الأمور؟ كل مكا…

❤9🍓2

5 Nov 2026, 15:38 UTC186 views3 reactionsread 6 November 2026
Photo

La bonne réponse est B et C ✅ Explication : Dans un syndrome de Cushing, une ACTH élevée indique un hypercorticisme ACTH-dépendant. ➡️ B. Maladie de Cushing → Adénome/tumeur corticotrope hypophysaire → ↑ ACTH → ↑ cortisol. ➡️ C. Sécrétion ectopique d’ACTH 🫁 → Tumeur extra-hypophysaire sécrétant de l’ACTH → ↑ cortisol. ❌ A. Adénome surrénalien → ACTH généralement basse par rétrocontrôle négatif. ❌ D. Insuffisance s…

❤3

5 Nov 2026, 09:41 UTC218 views8 reactionsread 6 November 2026
Photo

⁉️علابلكم وش هذا 🧐 🔵Marbrures des extrémités => التبقع الجلدي في الأطراف ☑️يعني ظهور بقع على الجلد غالبا بلون أحمر مزرق أو بنفسجي تشبه شبكة أو الرخامAspect marbré @Somamedfacts

❤‍🔥4🤔4

5 Nov 2026, 07:46 UTC248 views8 reactionsread 6 November 2026

اللمهم شنقولكم خليت القرايا وقبضني فخر الوطن عصباح 😭🇩🇿🇩🇿🇩🇿🇩🇿 تحيا الجزائر

🔥7😭1

Showing the 12 most recent of 63 posts we hold for @somamedfacts. 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

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“MED FACTS” (@somamedfacts), 6,158 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/somamedfacts.

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.