Education — 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 10 August 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.
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 (2 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 0 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 19 comparable posts for this entry, running 24 May 2026 to 19 July 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).
Across the whole group of 2, the earliest publisher we hold is @morabishooo — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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.
7 measurements spanning 5 days, net -20. 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 11,798–11,824 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 05:46
11,801
-3
12 Aug 2026, 06:54
11,804
-1
11 Aug 2026, 07:02
11,805
-7
10 Aug 2026, 06:31
11,812
-8
9 Aug 2026, 06:43
11,820
-1
8 Aug 2026, 03:20
11,821
no change
7 Aug 2026, 22:16
11,821
first reading
Engagement
20 posts held, back to 24 May 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 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.1%
avg views ÷ 11,801 subscribers
Avg views / post
2,260
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 20 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
Window
Rolling 30 days · latest post in window 19 July 2026
Posts held
20 (24 May 2026 – 19 July 2026)
Views total
6,770
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 03:52 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
2m 36s
Average length
2m 36s
Measured directly from 1 video 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.
سلام 😉
💯نحوه آموزش دیدن فیلم ها
لطفا با دقت فیلم نگاه کنید و طبق ویدیو پیش برید
😇همانطور ک درجریان هستید برنامه اسپات پلیر پولی هست و باید اشتراک تهیه کنید
که این اشتراک به صورت خودکار از طریق سیستم ما برای شما تهیه میشه
و شما فقط هزینه ۱۵ هزارتومان لایسنس مربوط به گوشی خودتون پرداخت میکنید
و این فقط درصورتی ک شما در اون دوره شرکت کرده باشید🕯
❤️
اوقات خوش دوست عزیز
کانال اطلاع رسانی دوره های مربی شو در پیام رسان بله
http://ble.ir/morabi_shooo
لطفا حتما عضو کانال باشید اطلاعات کامل برگزاری دوره ها👈🏼 شامل زمان کلاس ها، شرایط حضور و هزینه ها مدارک مورد نیاز خدمتتون در کانال اطلاع رسانی میشه
از همراهی شما سپاسگزاریم❤️
🌸🌸🌸🌸
✅ اطلاعیه ی مهم جهت کسب مدارک های پستی دوره های گذرانده شده در مربی شو
📣 قابل توجه تمامی دوستان و مربیانِ گرامی
تمامی مدارک گذرانده شده ی1404 دوره های قبل در سایت مربی شو آماده ی تحویل می باشد.(به غیر از دوره های فنی حرفه ای که از طریق خود سامانه فنی حرفه ای تحویل داده میشود)
✅مدارک ۱۴۰۵ تحویل پستی
دوره طراحی تمرین نوین و کاربردی Vip آماده تحویل پستی میباشد.
❌دوستان عزیز توجه کنید با توجه به جابه جایی فعلا دریا…
❌اطلاعیه تحویل مدارک الکترونیکی❌
مدارک وبینار برنامه نویسی تمرین از مبتدی تا پیشرفته ۲۵ اردیبهشت ماه
و مدارک ۵ وبینار علم ورزش ۱ خرداد ماه
🟢ارتباط و عملکرد پروتئین ها در فعالیت ورزشی
🟠ارتباط چربی ها با فعالیت ورزشی
🔵ارتباط کربوهیدرات ها با فعالیت های ورزشی
🟡ساختار و عملکرد عضله اسکلتی
🟣آشنایی با منابع انرژی در فعالیت های ورزشی
🌐مدرک آموزش حرکات اصلاحی ۱۲ تیرماه
آماده تحویل میباشد.
این سری از مدارک به صورت الکتر…
سلام دوستان عزیز 🌺
به دلیل استقبال خوب و درخواستهای متعدد برای ثبتنام، ۳۰ دقیقه فرصت بیشتر برای پیوستن علاقهمندان در نظر گرفتیم.
⏰ شروع کلاس: ساعت ۱۰:۳۰
اگر هنوز کسی از دوستانتان قصد شرکت دارد، این فرصت آخر را از دست ندهد. منتظرتان هستیم. ✨
لینکمستقیم ثبت نام کلاس
https://www.morabishooo.com/courses/613
🚨 شمارش معکوس برای کلاس اموزش حرکات اصلاحی شروع شد...
⏳ فقط ۳۰ دقیقه تا شروع کلاس!
اگه میخوای جا نمونی، همین الان بیا؛ چون تا چند دقیقه دیگه استارت میزنیم! 🔥🎓
🔰ثبت نام در کلاس حرکات اصلاحی و دریافت مدرک کلاس با توجه به اینکه فیلم کلاس به عزیزان داده میشود همچنان تا پایان امروز امکان پذیر است
🔰لینک مستقیم ثبت نام
https://morabishooo.com/courses/613
*⭕️اطلاعیه⭕️
نحوه شرکت در وبینار روز جمعه ۱۲ تیر
🟢وبینار جامع آموزش حرکات اصلاحی 🟢
👨🏫مدرس دکتر وحید رضایی دکتری آسیب شناسی و حرکت اصلاحی
ساعت برگزاری:
۱۰ الی ۱۳ سکشن اول
۱۶ الی ۱۹ سکشن دوم
1️⃣ابتدا با کاربری خود وارد سایت مربی شو شوید
(وارد سایت مربی شو بشید گزینه ورود بزنید)👇🏼
Www.morabishooo.com
2️⃣در صفحه اصلی سایت پنل سمینارها انتخاب میکنید
3️⃣پوستر دوره ای که ثبت نام کرده اید را انتخاب کنید
4️⃣در قسمت ان…
اگر میخواهی حرکات اصلاحی را علمی، اصولی و کاربردی یاد بگیری، این دوره همان چیزی است که دنبالش بودی!
🎓 آموزش زیر نظر دکتر وحید رضایی ✅ عضو هیئت علمی دانشگاه ✅ مدرس رسمی فدراسیون آمادگی جسمانی و بدنسازی ✅ متخصص حرکات اصلاحی و توانبخشی ورزشی
💥 از تئوری تا اجرای عملی، همه چیز را از یک مدرس باتجربه یاد بگیر و مهارتت را چندین سطح ارتقا بده.
⏳ ظرفیت دوره محدود است. فرصت را از دست نده و همین امروز ثبتنامت را قطعی کن!
ثب…
حرکات اصلاحی
فقط یک دوره نیست... یه نقطه شروع جدیده!
اگه دوست داری علمیتر تمرین کنی، نتیجه بهتری بگیری و از بقیه چند قدم جلوتر باشی، این دوره دقیقاً برای توئه.
✅ آموزش کاربردی ✅ نکات کاملاً علمی ✅ قابل استفاده برای مربیان و ورزشکاران
منتظر نباش، روی خودت سرمایهگذاری کن و با ما وارد یه مسیر حرفهای شو. 💪✨
👌حرکات اصلاحی
فقط چند تمرین ساده نیست؛ بلکه راهکاری علمی برای اصلاح ناهنجاریهای اسکلتی-عضلانی، کاهش درد، بهبود وضعیت بدن و افزایش کیفیت زندگی است.
با ارزیابی صحیح و اجرای تمرینات اصولی، میتوان از بسیاری از آسیبهای ورزشی و مشکلات ناشی از سبک زندگی کمتحرک پیشگیری کرد. یادگیری این علم، سرمایهای ارزشمند برای هر مربی، درمانگر و علاقهمند به سلامت و ورزش است.
🌿 بدن سالم، از حرکت صحیح آغاز میشود.
Showing the 12 most recent of 20 posts we hold for @morabishooo. 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 — 342,493 of 1,169,250entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“سامانه آموزشی مربی شو” (@morabishooo), 11,801 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/morabishooo.
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.