3 measurements spanning 4 days, net -73. 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 3,782–3,877 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 10:37
3,793
-70
10 Aug 2026, 23:41
3,863
-3
10 Aug 2026, 22:16
3,866
first reading
Engagement
9 posts held, back to 24 July 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
39.2%
avg views ÷ 3,793 subscribers
Avg views / post
1,490
9 posts measured
Reaction rate
0.873%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 10 August 2026
Posts held
9 (24 July 2026 – 10 August 2026)
Views total
13,395
Reactions total
117
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 22:16 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
1m 57s
Average length
13s
Measured directly from 9 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
117 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 37.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
44
37.6%
🙏
31
26.5%
❤
20
17.1%
👏
12
10.3%
👌
7
5.98%
🔥
2
1.71%
🆒
1
0.855%
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 9 of the 9 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 117reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 24 July 2026 to 10 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.
#پروتکل_پیشرونده Half‑Kneeling Adductor Dip (الگوی ترکیبی کشش–تقویت برای اداکتور و ثبات یکطرفه لگن)
🔹 سطح ۱ – کنترل پایه
هدف: تحرکپذیری اولیه و تثبیت لگن
- دامنه کنترلشده، تنظیم راستای لگن
- کشش فعال برای کاهش سفتی اداکتور
- مناسب افراد با محدودیت حرکتی یا درد کمری
- تأکید بر تنفس دیافراگمی
🔹 سطح ۲ – افزودن بار
هدف: افزایش #تقویت_اداکتور و عضلات عمقی لگن
- اضافهکردن کتلبل برای فعالسازی بیشتر
- نیاز به کنترل …
#تحلیل_حرکت #شنا_پیلاتس در نسخههای مبتدی و متوسط
The movement analysis of Swimming Pilates in beginner and intermediate versions
🔬 حرکت شنا پیلاتس یکی از الگوهای اکستنشن کنترلشده ستون فقرات در سیستم پیلاتس است که در دو سطح #مبتدی و #متوسط با تغییر دامنه حرکتی و سطح درگیری عضلانی اجرا میشود. این حرکت با فعالسازی اکستنسورهای کمری، #گلوتئالها و تثبیتکنندههای مرکزی، نقش مهمی در بهبود عملکرد ستون فقرات و کاهش بار…
💥 پیشروی هوشمندانه؛ کلید تمرین بدون #درد_کمر
Smart progression; the key to pain‑free training
پیشروی صحیح در تمرین، یکی از مؤثرترین راهها برای کاهش دردهای کمری در #حرکات_کششی و #لیفتینگ است.
در ویدیو مراحل مختلف #روئینگ از پوزیشنهای کاملاً ساپورتشده تا حالتهای مستقل نمایش داده شدهاند؛ رویکردی که با اصول کنترل تدریجی بار بر ستون فقرات همخوانی دارد.
💡 نکتهٔ مهم این است که پیشروی باید بر اساس معیارهای مشخص …
⚙ تحلیل بیومکانیکی #ساید_پلانک_کپنهاگن
🔬 طبق مقالهی 2026، تمرین ساید پلانک کپنهاگن (long‑lever) بالاترین نیروی تولیدی در عضلهی #اداکتور_بریویس را ایجاد میکند؛ چه در فاز فعال و چه در فاز پسیو. این یعنی برای تقویت هدفمند اداکتورها—بهویژه در پروتکلهای پیشگیری از آسیب—کپنهاگن اهرم بلند یک انتخاب شواهد‑محور و بسیار مؤثر است.
🎯 هدف اصلی تمرین:
• پایداری جانبی تنه و تقویت زنجیره اداکتوری برای کنترل بهتر لگن و اندام …
📊 تحلیل بیومکانیکی #سیسی_اسکوات : مدیریت بازوی گشتاور برای حداکثر درگیری عضلانی #چهارسر
سیسیاسکوات یکی از بهترین حرکات برای #هایپرتروفی چهارسر است، به شرطی که «بازوی گشتاور» را به درستی مدیریت کنید.
1⃣ چالش اصلی: نقشِ تنه
در سیسیاسکوات، تنه باید به عنوان یک اهرمِ ثابت عمل کند. وقتی تنه را به جلو خم میکنید، مرکز جرم از مفصل ران دور میشود. این تغییر باعث میشود:
⬅️ بازوی گشتاور مفصل ران افزایش یابد.
⬅️ عضلات…
📊 مقایسه علمی #پلانک_سنتی و پلانک RKC# : بهینهسازی درگیری عضلانی
Traditional vs. RKC Plank: Optimizing Muscle Activation
1⃣ در پلانک معمولی، تمرکز صرفاً بر حفظ وضعیت خنثی ستون فقرات است. اما در RKC، با دور کردن عمدی کتفها از یکدیگر (ایجاد کمی قوز در ناحیه توراسیک)، ما عضلات دندانهای قدامی را فعال میکنیم که موجب ثبات بیشتر کمربند شانهای میشود.
2⃣ با انقباض حداکثری #باسن و چرخش لگن به سمت عقب، ما وضعیت گودی کم…
| #پرس_کوبان ؛ الگوی ترکیبی اکسترنال روتیشن–ابداکشن برای ارتقای #ثبات_شانه
Cuban Press; a combined external‑rotation–abduction pattern for enhancing shoulder stability
پرس کوبان یکی از دقیقترین الگوهای اکسترنال روتیشن + ابداکشن است که با فعالسازی همزمان #روتاتورکاف ، دلتویید جانبی و عضلات کنترلکننده کتف، ثبات شانه را بالا میبرد و دردهای مزمن را کاهش میدهد.
⚙ پوزیشن این حرکت باعث میشود وزن طبیعی دست، تنش هدف…
| تأثیر #زاویهٔ_بازو بر الگوی #فعال_سازی_عضلات در حرکات کششی با کابل
The Effect of Arm Angle on Muscle Activation Patterns in Cable Pull Movements
تفاوت الگوهای حرکتی در تمرینات کابل، مستقیماً به زاویهٔ بازو نسبت به خط مقاومت و نوع درگیری مفصل بستگی دارد.
🔵 در الگوی کابل کراس اکستنشن با زاویهٔ حدود ۴۵ درجه، خمشدن آرنج باعث بیشترین فعالیت در عضلهٔ #سه_سر_بازویی (هر سه سر) میشود؛ زیرا ماهیت حرکت بر بازکردن مفصل …
💥 اسلینگهای قدامی و افقی؛ نقش در #پایداری و #توان_چرخشی
Anterior and Horizontal Sling Systems; Role in Stability and Rotational Power
📚 اسلینگهای قدامی و افقی نقش کلیدی در انتقال نیروهای چرخشی و #پایداری_تنه دارند.
✅ هماهنگی بین عضلات #مورب_شکمی و اداکتورهای مقابل، همراه با فشار پایین شکم، موجب افزایش توان چرخشی و کنترل شتاب میشود.
🔈 تمرینات هدفمند مانند #کابل_پرس_جلو ، #پلانک با زانو، چرخش نیمزانو با کابل و …
👍35🙏25❤3👏1
Signed Saba
Showing the 9 most recent of 9 posts we hold for @fit_motion. 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 — 1,370,792 of 1,481,502entries 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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Fit Motion” (@fit_motion), 3,793 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/fit_motion.
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.