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Channel

مرکز طب اسلامی

@markazetebbeeslami

On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

16,076subscribers

-81 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001084672765
TypeChannel
Username@markazetebbeeslami
CreatedBetween 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/markazetebbeeslami

Topic

Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 5 other registered channels, 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.

Growth

16,07616,15716,116.56 August 2026 — 16,157 subscribers6 August 2026 — 16,157 subscribers6 August 2026 — 16,156 subscribers7 August 2026 — 16,155 subscribers8 August 2026 — 16,150 subscribers9 August 2026 — 16,146 subscribers10 August 2026 — 16,142 subscribers11 August 2026 — 16,139 subscribers12 August 2026 — 16,132 subscribers13 August 2026 — 16,128 subscribers15 August 2026 — 16,122 subscribers17 August 2026 — 16,113 subscribers18 August 2026 — 16,114 subscribers19 August 2026 — 16,107 subscribers20 August 2026 — 16,106 subscribers21 August 2026 — 16,107 subscribers23 August 2026 — 16,105 subscribers24 August 2026 — 16,099 subscribers26 August 2026 — 16,098 subscribers28 August 2026 — 16,095 subscribers29 August 2026 — 16,102 subscribers31 August 2026 — 16,098 subscribers2 September 2026 — 16,095 subscribers2 September 2026 — 16,096 subscribers4 September 2026 — 16,088 subscribers7 September 2026 — 16,086 subscribers10 September 2026 — 16,076 subscribers6 August 202610 September 2026
27 measurements spanning 36 days, net -81. 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 16,064–16,169 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
10 Sept 2026, 16:4016,076-10
7 Sept 2026, 11:3716,086-2
4 Sept 2026, 13:2016,088-8
2 Sept 2026, 23:5716,096+1
2 Sept 2026, 00:2216,095-3
31 Aug 2026, 03:4416,098-4
29 Aug 2026, 04:5516,102+7
28 Aug 2026, 06:2516,095-3
26 Aug 2026, 02:3416,098-1
24 Aug 2026, 23:4316,099-6
23 Aug 2026, 07:4616,105-2
21 Aug 2026, 17:1916,107+1
20 Aug 2026, 13:0316,106-1
19 Aug 2026, 10:5816,107-7
18 Aug 2026, 11:3716,114+1
17 Aug 2026, 09:3616,113-9
15 Aug 2026, 14:3816,122-6
13 Aug 2026, 23:2716,128-4
12 Aug 2026, 16:5216,132-7
11 Aug 2026, 16:0216,139first reading

Engagement

78 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.66%
avg views ÷ 16,076 subscribers
Avg views / post
1,230
44 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
44
of 78 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
WindowRolling 30 days · latest post in window 2 September 2026
Posts held78 (1 August 20262 September 2026)
Views total54,149
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:09 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
4m 47s
Average length
41s

Measured directly from 7 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.

Recent posts

2 Sept 2026, 17:57 UTC544 viewsread 3 September 2026

🔹 سویق گندم #سویق_گندم را عموماً برای افزایش وزن استفاده می‌کنند، به‌خصوص مادران باردار که می‌خواهند جنین‌شان وزن‌گیری و رشد مناسبی داشته باشد. به‌طور کلی، خواص این مدل سویق عبارت است از: _چاق‌کننده _مناسب برای رشد کودکان _افزایش میل جنسی در صورت استفاده به‌همراه روغن زیتون _تقویت استخوان و یکی از راه‌های درمانی پوکی استخوان 🔸 سویق جو #سویق_جو که از ترکیب آرد و سبوس جو به‌دست می‌آید، کاربردهای زیادی برای کاهش وزن د

2 Sept 2026, 09:31 UTC769 viewsread 3 September 2026

🔹 #سویق چیست؟ سویق که در فارسی قدیم به آن پِست یا پَست می‌گفتند، در واقع پودری انرژی‌زا است که از ترکیب حبوبات و غلات مختلفی مثل گندم، برنج، جو، نخود، عدس و .. به‌دست می‌آید. در گذشته از این ماده غذایی برای رفع درد و درمان بیماری‌ها استفاده می‌کردند. امروزه اما از سویق به‌عنوان یک مدل غذا یا مکمل غذایی استفاده می‌شود تا کودکان، نوجوانان، بزرگ‌سالان و زنان باردار برای تقویت سیستم بدن‌شان و حتی چاقی، از آن استفاده کن

1 Sept 2026, 14:52 UTC963 viewsread 3 September 2026

🔴 فقط غذای سالم بخوریم، کافی است؟ 🤔 ❇️ خیلی‌ها تصور می‌کنند راز سلامتی فقط در انتخاب غذای سالم خلاصه می‌شود؛ اما در #طب_ایرانی_اسلامی، شیوه زندگی به همان اندازه اهمیت دارد. حتی اگر بهترین غذاها را مصرف کنید، اما: 🔸 دیر بخوابید. 🔸 بدون اشتها غذا بخورید. 🔸 بلافاصله بعد از غذا دراز بکشید یا بخوابید. 🔸 فعالیت بدنی کافی نداشته باشید. ✅ به‌مرور زمان، بدن دچار ضعف و زمینه بسیاری از بیماری‌ها فراهم می‌شود. 🌿 سلامتی فقط

1 Sept 2026, 14:51 UTC946 viewsread 3 September 2026

🔴 #دمنوش_غوره؛ انتخابی طبیعی برای کمک به کنترل #فشار_خون ❇️ اگر فشار خون بالا دارید، به‌ویژه زمانی که با قرمزی صورت و #سردرد همراه است، #غوره می‌تواند انتخاب مناسبی باشد. ✅️ غوره دارای طبیعت سرد و خشک است و مصرف تازه، خشک‌شده یا فریز شده آن، امکان بهره‌مندی از خواصش را در تمام سال فراهم می‌کند. ✅️ برای تهیه دمنوش، ۱۰ تا ۱۲ عدد غوره خشک یا یک قاشق مرباخوری پُر گرد غوره را در یک لیوان آب جوش ریخته، حدود ۳۰ دقیقه دم

29 Aug 2026, 17:43 UTC≈1,480 viewsread 3 September 2026
Video

✨خورشید، محمد است و صادق ماه است✨ ✨خورشید همیشه با قمر همراه است✨ ✨یعنی که ولادت امام صادق✨ ✨در روز ولادت رسول الله است✨ 🌸میلاد رسول مهربانی‌ها پیامبر اعظم (ص)💚 و امام جعفر صادق (ع)💚 مبارک باد 🌸🎊🌸 🌸 مرکز طب اسلامی آیت‌الله تبریزیان 💐 @MarkazeTebbeEslami

29 Aug 2026, 09:06 UTC≈1,600 viewsread 3 September 2026
Photo

🔴 برای این که بین روز ناگهان انرژی‌تان ته نکشد، #آلوخشک، #زردآلوی_خشک یا #کشمش میل کنید، ⚜ این میوه‌های خشک سرشار از آهن هستند و مانند یک ماده‌ی #ضدخستگی عمل می‌کنند. ✅ مرکزطب‌اسلامی‌آیت‌الله‌تبریزیان 🆔 @MarkazeTebbeEslami | mte24.ir

28 Aug 2026, 05:35 UTC≈1,530 viewsread 3 September 2026
Photo

#برنج_قهوه‌ای؛ یبوست نمی آورد رژیم غذایی کامل و معجزه‌آسایی است برعکس برنج سفید شما را #چاق نمیکند خاصیت سفید کردن مو را مثل برنج سفید ندارد ✅ مرکزطب‌اسلامی‌آیت‌الله‌تبریزیان 🆔 @MarkazeTebbeEslami | mte24.ir

28 Aug 2026, 05:35 UTC≈1,300 viewsread 3 September 2026
Photo

🔴 می‌خواهید پرانرژی باشید و چاق هم نشوید، این‌ها را نخورید ! نان سفید نوشابه بستنی غذاهای پر چرب آبمیوه‌ها قهوه‌ های طعم دار مارگارین سرخ‌ کردنی‌ها اسنک‌ ها ✅ مرکزطب‌اسلامی‌آیت‌الله‌تبریزیان 🆔 @MarkazeTebbeEslami | mte24.ir

27 Aug 2026, 16:56 UTC≈1,260 viewsread 3 September 2026
Photo

☘ #رفع_سردی_مثانه یکی از قوی ترین داروهای در درمان در #سردی_مثانه ، تکرر و بی اختیاری ادرار ، نوشیدن مخلوط شیر و زردچوبه یک قاشق چایخوری زردچوبه را در یک فنجان شیرداغ حل کرده و پس از اینکه کمی ولرم شد ، با مقداری عسل شیرین کنید و شبها قبل خواب میل کنید ✅ مرکزطب‌اسلامی‌آیت‌الله‌تبریزیان 🆔 @MarkazeTebbeEslami | mte24.ir

27 Aug 2026, 16:55 UTC≈1,360 viewsread 3 September 2026
Photo

▫️برای #درمان_اسهال سیب‌زمینی را با شیر بپزید و آن را به صورت سوپ به کودک بدهید. #اسهال سریع متوقف می‌شود. ✅ مرکزطب‌اسلامی‌آیت‌الله‌تبریزیان 🆔 @MarkazeTebbeEslami | mte24.ir

Showing the 12 most recent of 78 posts we hold for @markazetebbeeslami. 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 8 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

دفتر آیت الله تبریزیان
@DaftareAyatollahTabrizian · 153,669
Telegram ranks this channel #28 of 85 here — alongside 84 others — read 14 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“مرکز طب اسلامی” (@markazetebbeeslami), 16,076 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/markazetebbeeslami.

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.