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Channel

کارگاه آموزشی سموم و سم زدایی

@LaboratoryDetoxification

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

292subscribers

+3 since we began measuring on 4 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002217442045
TypeChannel
Username@LaboratoryDetoxification
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded5 October 2026
Last confirmed live6 October 2026
Measurements held5
Confirmed unchanged1 time, most recently 6 October 2026
On Telegramt.me/LaboratoryDetoxification

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 5 October 2026 and assigned it the closest of 31 fixed categories, at 90% 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.

Growth

2892932914 September 2026 — 289 subscribers6 September 2026 — 290 subscribers25 September 2026 — 293 subscribers5 October 2026 — 293 subscribers6 October 2026 — 292 subscribers2924 September 20266 October 2026
5 measurements spanning 31 days, net +3. 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 288–294 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 04:42292-1
5 Oct 2026, 00:22293no change
25 Sept 2026, 10:17293+3
6 Sept 2026, 19:21290+1
4 Sept 2026, 23:47289first reading

Engagement

20 posts held, back to 10 November 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.9%
avg views ÷ 292 subscribers
Avg views / post
72.6
5 posts measured
Reaction rate
4.13%
reactions ÷ views · ER floor
Posts in window
5
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
WindowRolling 30 days · latest post in window 27 September 2026
Posts held20 (10 November 2025 – 27 September 2026)
Views total363
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Oct 2026, 00:22 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

117 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7160.7%
👍2117.9%
👏75.98%
👌54.27%
🙏54.27%
🏆21.71%
💯21.71%
😍21.71%
💘10.855%
🥰10.855%

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 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 117 reactions 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 10 November 2025 to 27 September 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.

Recent posts

27 Sept 2026, 13:05 UTC40 views4 reactionsread 5 October 2026

✔جایگزین قرص سرماخوردگی با دم کرده گیاهان دارویی : ✅- دمکرده پونه رفع آبریزش بینی و حساسیت ✅- دمکره گل گاوزبان تقویت سیستم عمومی بدن و درمان فوری مسمومیت معده و سرما خوردگی ✅- دمکرده نعنا ضد سرماخوردگی و اسهال عفونی ✅- دمکرده بنفشه رفع حساسیت و سرفه های خشک ✅- دمکرده آویشن رفع خلط و شستشوی مجاری گوارشی و درمان سرما خوردگی ✅- دمکرده بابونه رفع میکروب معده و خون تقویت سیستم ایمنی بدن @LaboratoryDetoxification

❤3🙏1

26 Sept 2026, 04:16 UTC47 views3 reactionsread 5 October 2026

🔶 با صورت پر از آرایش، ورزش نکنید !🧘‍♀ وقتی عرق میکنید منافذ پوست بطور طبیعی باز میشوند، آرایش وارد منافذ پوست شده و آنها را مسدود میکند و باعث پیری پوست و بروز جو‌شهای سرسیاه و سفید میشود. ✅ #آرایش @LaboratoryDetoxification

❤2👍1

22 Sept 2026, 13:57 UTC68 views3 reactionsread 5 October 2026
Photo

✅ پاکسازی سموم بدن ☕️ 📍بعد از درست کردن قهوه یک یا دو برگ نعنا را به آن اضافه کنید و اجازه دهید ۵ دقیقه در آن باقی بماند. 📍این نوشیدنی برای کاهش وزن و پاکسازی بدن از سموم فوق العاده است. @LaboratoryDetoxification

❤2👍1

19 Sept 2026, 14:34 UTC86 views3 reactionsread 5 October 2026
Photo

✅ ترش مزه هایی که بدن را سم زدایی میکند: 📍 برخی ترشیجات مثل رب انار ترش ،تمبر هندی و آلوچه برای کلیه ها و کبد بسیار مفید بوده و سبب پاکسازی و سم زدایی کلیه و کبد از رسوب آن میشود. @LaboratoryDetoxification

🙏2❤1

13 Sept 2026, 08:21 UTC122 views2 reactionsread 5 October 2026
Photo

سيب زمینی پخته شده در آتش؛ یک ساعته در معده هضم مي شود. سیب زمینی آب پز در 4 ساعت هضم مي شود. سیب زمینی سرخ کرده یا چیپس ظرف 12 ساعت نصفش هضم و نصفش دفع می شود. @LaboratoryDetoxification

❤2

9 Sept 2026, 09:07 UTC150 views4 reactionsread 5 October 2026
Photo

*درمان آلزایمر با عصاره گل سرخ !🌹 - متخصصان تایید کردند استفاده از دمنوش گل سرخ کاهش دهنده الزایمر در سنین بالا می باشد و آثار بهبودی پس از ۳ هفته مصرف در افراد ظاهر می شود.* #سموم #سمزدایی 📢کارگاه سموم و سم زدایی 🗣 @LaboratoryDetoxification

❤4

7 Sept 2026, 06:34 UTC138 views4 reactionsread 5 October 2026
Photo

از بهترین انرژی زا ها #سموم #سمزدایی 📢کارگاه سموم و سم زدایی 🗣 @LaboratoryDetoxification

❤4

5 Sept 2026, 08:00 UTC157 views6 reactionsread 5 October 2026
Photo

. آب برنج چه خواصی برای پوست دارد؟❗️❗️✅ هنگام آبکش کردن، آب برنج را دور نریزید. روزانه صورت و موهای خود را با آب برنج شستشو دهید. برای قرنها زنان آسیایی از این روش برای افزایش زیبایی پوست و موی خود استفاده کرده اند رفع سموم پوست @LaboratoryDetoxification

❤6

2 Sept 2026, 06:24 UTC371 views6 reactionsread 5 October 2026
Photo

🍜نودل زیاد نخورید زیرا ▫️براحتی هضم نمیشود ▫️مسبب بیماریهای قلبی‌ست ▫️حاوی مواد نگهدارنده مضرست ▫️حاوی اسانس و افزودنی شیمیایی‌ست + سرشار از چربیهای اشباع شده و نمک است افراط نودل افزایش سموم @LaboratoryDetoxification

❤3🙏2👍1

30 Aug 2026, 11:52 UTC116 views3 reactionsread 5 October 2026
Photo

بسم الله الرحمن الرحیم بمناسبت میلاد پیامبر اکرم و امام جعفر صادق علیه السلام دوره آموزشی تشخیص بیماری ها از روی ‌چشم تدریس کتاب عنبیه شناسی آزمایشگاه همراه توسط استاد علی تیموری دوره خود آموز هست و بدون نیاز به پشتیبانی قیمت اصلی دوره سه میلیون تومان بمناسبت روز ولادت قیمت فقط ۶۵۰ هزار تومان فقط به مدت دو روز (۷ و ۸ شهریور ) دوره فقط در تلگرام هست شماره کارت 5022291524373246 علی تیموری آیدی هماهنگی 👇👇👇👇 @a786_1

❤3

29 Aug 2026, 12:38 UTC146 views6 reactionsread 5 October 2026
Photo

تقویت سیستم ایمنی بدن #سموم #سمزدایی 📢کارگاه سموم و سم زدایی 🗣 @LaboratoryDetoxification

❤6

25 Aug 2026, 12:40 UTC182 views7 reactionsread 5 October 2026

#سمزدایی 🔴 آناناس دفع کننده تجمع مواد زائد از بدن هست 🔴 رفع تجمع مواد موجب سم زدایی بدن میشه استاد علی تیموری 📢کارگاه سموم و سم زدایی 🗣💊 @LaboratoryDetoxification

❤7

Showing the 12 most recent of 20 posts we hold for @LaboratoryDetoxification. 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.

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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“کارگاه آموزشی سموم و سم زدایی” (@LaboratoryDetoxification), 292 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/LaboratoryDetoxification.

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.