Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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.
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 word for word on 1 other registered channel. 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 (6 of the pairs behind the counts below)
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. None of the 10 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 8 August 2025 to 3 December 2025. 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).
Across the whole group of 2, the earliest publisher we hold is @Dr_Melhian. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
3 measurements spanning 4 days, net -1. 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 2,255–2,256 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 21:27
2,255
-1
7 Aug 2026, 15:35
2,256
no change
6 Aug 2026, 20:17
2,256
first reading
Engagement
20 posts held, back to 8 August 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 2 pagesof 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 3 December 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
30s
Average length
15s
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
1 reaction across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1
100.0%
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 2 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 1reactions 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 8 August 2025 to 3 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
⭕️معجون افزایش وزن رایا طب😎👇
✔️چاق کننده عالی در حد 6 الی7 کیلو
✔️ اشتها آور به شدت قوی
✔️عوارض نداره چون ترکیباتش گیاهی
✔️چاقی این معجون اصلا بازگشت نداره
✔️معجون باعث جوش یا گرمی بدن نمیشه
✔️برای افراد کم خون و ضعیف فوق العاده
✔️این محصول برای کودکان لاغرعالیه
➖➖➖➖
📍وزن نیم کیلو
📍مدت مصرف 30روز
📍ترکیبات 100درصدگیاهی
📍افزایش وزن 6تا7کیلو
با رایا طب، لاغری رو به خاطره تبدیل کن:)
┏━━━🍃🌺🍃━━━┓
@moshavereh_kosar1
┗━…
🔥رضایت جدید آقایان🔥
5کیلو افزایش وزن با پک ویژه رایا 👌
🟡میگه صورتم هم کامل پر شده🤌😎
ما ادعا نمیکنیم 😌 اثبات میکنیم 👊🏻
📥دریافت اطلاعات بیشتر ، ارتباط با من و سفارش محصول👩💻👇
👤 @moshavereh_kosar1
👤 @moshavereh_kosar1
👤 @moshavereh_kosar1
📲09024229404
معجون چاقی شما بازگشت داره🤔👆
دوستان ما هیـچ معجونی از قبل آماده نداریم حتی 1دونــه.. 📍
تمام معجون ها براساس قد و وزن هر فرد توسط پزشک تهیه میشه❗️
با این سبک تولید بازگشت وزن تقریبا غیرممکن هستش.. 🤌
┏━━━🍃🌺🍃━━━┓
@moshavereh_kosar1
┗━━━🍂
پارت5_ کم🩸خــونی دزد انرژیه؛ پس بگیرش😡
✔️چشمای گود افتاده
✔️ پوســت بیرنگ
✔️ تمرکز پایین و خواب سنگین
اگه اینا رو داری، احتمالاً کمخونی🩸 داری
و کمخونی یعنی بدن نصفهجون!
این معجون، با ترکیب دقیق:😊👇
🟣– پنج شــیره
🟡– کنجــد و انجیر
🔴– جینسینگ و ســویق
بدنتو از درون میسازه، خونتو قوی میکنه🤌
پارت 4-
وقتی فرم بدن درست شه، همه چی عالی میشه😎
🔸 صورت پرتر و نجــرال
🔸 بدن خوشفرم و جـــذاب تر
🔸 اعتماد به نفـس و رحیه ای بالا
اعتماد به نفس از درون نمیاد، از تصویر توی آینه میاد
و این معجون، تغییریه که دنبالش بودی:👀👇
📍وزن سالم بدون شکم
📍 تغذیه طبیعی بدون عوارض
📍 ظاهر قویتر، حس بهتر
دیگه وقتشه خودتو با جسارت ببینی💪
با یه قاشق معجون در روز، بدرخش!
پارت 2–برندهها همیشه بیشتر از بقیه میدونن😎
وقتی بقیه هنوز دنبال مکمل و پودر هستن
تو یه فرمول کاملاً طبیعی داری که نتیجه میده🤌
🔥 این معجون شاهکار ما هم بدن میسازه، هم حال خوب میاره چون از اینا داره😍👇
✔️– سویق گندم و ذرت برای پر شدن بدن
✔️– پودر انجیر برای تنظیم دستگاه گوارش
✔️– ریشه کاسنی برای بالا بردن اشتها
🎯 این یه تقلب نیست، یه تصمیم هوشمندانهست
پارت1هیچکس یه بدن ضعیف رو دوست نداره😔
عزیز دلم وقتی بدنت لاغــره نه خودت از خودت راضیای، نه بقیه تحویلت میگیرن❗️
🟡 این فقط لاغــری نیست👀
این یعنی کمخونی، ضعف ایمنی، ، روحیه پایین
🥄یه قاشق از🧉معجون ما😍👇 =
✔ پنج شیره خالص برای خونسازی
✔ جینسینگ برای انرژی مداوم
✔ کینـوا برای تقویت ریشهای بـــدن
⏳ صبر بیشتر = ضعف بیشتر
بدن ضعیف، روحیهتو میکشه..نذار دیر بشه!
سلام قهــرمان لاغـــر اما با اراده! 😎🙋♀
رفیق ما یه معجــون داریم به اسم رایا طب اما شاید تــو هنــوز باهاش آشنا نشــدی❗️
⭕️ولی الان جــدای معرفی میخــوام یکم از خــواب غفــلت بیدارت کنم... 👀👇
Signed خانم توانا مشاوره شما👩💻
Showing the 12 most recent of 20 posts we hold for @teb_kosar1. 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“🧉معجون چاقی کوثــر” (@teb_kosar1), 2,255 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/teb_kosar1.
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.
