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 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.
Views per post sit far above this size band
2,440 average views per post against 1,182 subscribers — an engagement rate of 206.5%. Across the 15,449 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Persian — the middle half sit between 7.93% and 30.5%, with a median of 16.3%.
What this was computed from
Window
30 days (18 July 2026 – 17 August 2026)
Posts measured
13 of 13 published in the window (2 exact, 11 rounded by Telegram)
Views totalled
31,731
Mature posts only
236.8% over 11 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 17 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.
Growth
5 measurements spanning 10 days, net -5. 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 1,181–1,191 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 21:38
1,182
-8
13 Aug 2026, 04:25
1,190
+1
10 Aug 2026, 14:12
1,189
+1
7 Aug 2026, 08:30
1,188
+1
6 Aug 2026, 23:01
1,187
first reading
Engagement
20 posts held, back to 11 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
206.5%
avg views ÷ 1,182 subscribers
Avg views / post
2,440
13 posts measured
Reaction rate
12.1%
reactions ÷ views · ER floor
Posts in window
13
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 6 August 2026
Posts held
20 (11 July 2026 – 6 August 2026)
Views total
31,731
Reactions total
3,855
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 23:01 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.
Reaction mix
4,785 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 14.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🥰
709
14.8%
🔥
700
14.6%
👍
692
14.5%
❤
690
14.4%
👏
690
14.4%
🎉
652
13.6%
🤩
652
13.6%
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 20 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 4,785reactions 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 July 2026 to 6 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.
🥗 یک اشتباه رایج که باعث میشود رژیم غذاییتان نتیجه ندهد!
@regim
بسیاری از افراد تصور میکنند برای کاهش وزن باید فقط کالری را کم کنند، اما تحقیقات جدید نشان میدهد کیفیت غذایی که میخورید، به اندازه مقدار آن اهمیت دارد.
مثلاً:
✅ پروتئین کافی، احساس سیری را افزایش میدهد.
✅ فیبر موجود در سبزیجات، حبوبات و غلات کامل به کنترل اشتها کمک میکند.
✅ چربیهای سالم مانند روغن زیتون و مغزها، اگر متعادل مصرف شوند، بخشی از یک ر…
🥚 چرا این روزها پوست تخممرغ سختتر جدا میشود؟
@regim
اگر موقع پوست کندن تخممرغ آبپز متوجه شدهاید که پوستش به سفیده میچسبد و تکهتکه جدا میشود، تنها نیستید!
دلیل اصلی معمولاً تازه بودن تخممرغ است، نه کیفیت پایین آن.
🔬 چرا این اتفاق میافتد؟
در تخممرغ تازه، pH سفیده پایینتر است و غشای نازک زیر پوسته محکمتر به سفیده میچسبد. به همین دلیل هنگام پوست کندن، بخشی از سفیده هم جدا میشود.
اما با گذشت حدود ۷ تا ۱۰ ر…
✨ راز پوست سالم در ۲۰۲۶؛ کمتر، اما هوشمندانهتر!
@regim
اگر فکر میکنید برای داشتن پوست زیبا باید از دهها محصول مختلف استفاده کنید، تحقیقات جدید خلاف این را نشان میدهند.
🔬 بر اساس تازهترین شواهد علمی، سه اصل بیشترین تأثیر را بر سلامت و جوانی پوست دارند:
☀️ ۱. ضدآفتاب؛ مهمترین محصول مراقبت از پوست
قرار گرفتن در معرض نور خورشید، مهمترین عامل پیری زودرس پوست است. استفاده روزانه از ضدآفتاب، حتی در روزهای ابری، به …
🧠 مغزتان را با غذا بیمه کنید!
@regim
دو خبر علمی تازه از ۲۰۲۶:
✅ رژیم MIND (مدیترانهای + DASH) رسماً تأیید شد:
🔹 کند کردن پیری مغز
🔹 کاهش خطر آلزایمر و دمانس
🔹 کاهش افسردگی و اضطراب
✅ میوه و سبزیجات در برابر رژیم پرچرب:
محققان دریافتند مصرف مداوم میوه و سبزیجات، از آسیبهای مغزی ناشی از فستفود و چربیهای بالا جلوگیری میکند!
پس امروز با یک سیب یا سالاد، به مغزتان محبت کنید! 🍎🥗
#تغذیه_و_سلامت #مغز_سالم
🍕 پیتزای رژیمی با نان لواش!
@regim
هوس پیتزا کردی؟ لازم نیست رژیمت را کنار بگذاری.
مواد لازم:
🌯 نان لواش نازک
🍗 مرغ ریشریش یا تن ماهی در آب
🍄 قارچ، فلفل دلمهای و ذرت (اختیاری)
🧀 کمی پنیر موزارلای کمچرب
🍅 سس گوجهفرنگی بدون شکر
همه مواد را روی نان بچین، ۱۰ دقیقه داخل فر یا ایرفرایر بگذار.
✅ یک پیتزای خوشمزه، پرپروتئین و با کالری بسیار کمتر از پیتزای معمولی!
#رژیم #غذای_رژیمی #کاهش_وزن #آشپزی_سالم
❌ باور غلط رژیمی: «غذاهای رژیمی را هرچقدر بخوریم چاق نمیشویم!»
@regim
مواد غذایی با برچسب «رژیمی»، «کمچرب» یا «بدون شکر» هم کالری دارند.
بعضی از آنها برای جبران کاهش چربی یا شکر، حاوی نشاسته یا شیرینکنندههای دیگری هستند.
✅ همیشه برچسب ارزش غذایی را بررسی کنید و به اندازه مصرف کنید.
🥔 سیبزمینی تنوری با ماست یونانی؛ یک شام رژیمی فوقالعاده
@regim
یک سیبزمینی را با پوست بپز یا در فر تنوری کن. بعد روی آن:
🥣 ماست یونانی
🌿 شوید یا جعفری
🧄 سیر رندهشده
🧂 کمی نمک و فلفل
🍗 تکههای مرغ گریلشده
✨ نتیجه؟ غذایی خوشمزه، سیرکننده و سرشار از پروتئین که بدون احساس گرسنگی به کاهش وزن کمک میکند.
🥣 صبحانه پرفیبر؛ یک تغییر کوچک با اثر بزرگ!
@regim
تحقیقات جدید نشان میدهد که کیفیت صبحانه میتواند بر احساس سیری، کنترل اشتها و حتی سلامت روده تأثیر بگذارد.
در یک مطالعه جدید، افرادی که صبحانهای سرشار از فیبر (مانند جو دوسر، نان سبوسدار، میوه و حبوبات) مصرف کردند، در مقایسه با صبحانههای کمفیبر:
✅ مدت بیشتری احساس سیری داشتند.
✅ تنوع باکتریهای مفید روده در آنها بیشتر بود.
✅ برخی شاخصهای سلامت متابولیک نیز به…
😴 خواب کم، اشتهای بیشتر!
@regim
کمبود خواب باعث تغییر هورمونهای تنظیمکننده اشتها میشود و میل به غذاهای پرچرب و شیرین را افزایش میدهد.
✅ بیشتر بزرگسالان به حدود ۷ تا ۹ ساعت خواب شبانه نیاز دارند.
#رژیم #سلامتی #خواب_کافی #لاغری
💧 شاید گرسنه نیستید، فقط تشنهاید!
@regim
گاهی بدن کمآبی را با احساس گرسنگی اشتباه میگیرد. اگر بین وعدهها احساس گرسنگی کردید، ابتدا یک لیوان آب بنوشید و ۱۵ تا ۲۰ دقیقه صبر کنید. اگر هنوز گرسنه بودید، یک میانوعده سالم میل کنید.
#رژیم #لاغری #سلامتی
⏱️ برای لاغر شدن آهسته غذا بخور
@regim
مغز حدود ۲۰ دقیقه زمان نیاز دارد تا پیام سیری را دریافت کند. غذا خوردن با سرعت بالا میتواند باعث شود بیش از نیاز بدن غذا بخورید.
✅ لقمههای کوچکتر بردارید.
✅ بین لقمهها قاشق یا چنگال را روی میز بگذارید.
#رژیم #سلامتی #غذا_خوردن #لاغری
💡 جمعبندی:
@regim
فستینگ میتواند یک ابزار مؤثر برای کاهش وزن و بهبود سلامت باشد، اما نتیجه آن به کیفیت تغذیه، میزان کالری دریافتی و پایبندی به برنامه بستگی دارد، نه صرفاً ساعتهای ناشتایی.
🎉26👍25🥰25🤩24🔥20👏18❤17
Showing the 12 most recent of 20 posts we hold for @regim. 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 — 203,507 of 1,480,975entries 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 2 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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“رژیم، سلامت غذایی، زیبایی و سبک زندگی” (@regim), 1,182 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/regim.
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.