میخواین بدونید که شما چاقید یا لاغر؟ یا اینکه کمبود وزن دارین یا اضافه وزن؟! ◽️بر اساس این نمودار وضعیت خودتون رو بسنجید! #سلامت #پزشکی @stationHealth
👏1🔥1
Signed @stationHealth_bot

Channel
@stationHealth
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Cite this entry
392subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001144937255 |
|---|---|
| Type | Channel |
| Username | @stationHealth |
| Created | Between 1 May 2017 and 30 June 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/stationHealth |
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.
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.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 464 channels that share the same post bodies with each other. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @Doctor_tel/9365316 Dec 2024, 07:21 UTC | @stationHealth/4129 · this entry30 Dec 2024, 05:04 UTC | 0.97 | 14 days |
| @Doctor_tel/9367418 Dec 2024, 08:32 UTC | @stationHealth/4139 · this entry4 Jan 2025, 06:08 UTC | 0.96 | 17 days |
| @Doctor_tel/9367618 Dec 2024, 08:32 UTC | @stationHealth/4141 · this entry5 Jan 2025, 06:10 UTC | 0.96 | 18 days |
| @Doctor_tel/9368218 Dec 2024, 18:00 UTC | @stationHealth/4145 · this entry7 Jan 2025, 06:13 UTC | 0.96 | 20 days |
| @Doctor_tel/9367017 Dec 2024, 17:02 UTC | @stationHealth/4138 · this entry3 Jan 2025, 18:07 UTC | 0.96 | 17 days |
| @Doctor_tel/9366817 Dec 2024, 17:01 UTC | @stationHealth/4137 · this entry3 Jan 2025, 06:06 UTC | 0.95 | 17 days |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @Doctor_tel | 7 (7/7 hand-verifiable sample passed) | 0.96 | 17 days | @Doctor_tel (7–0) |
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 7 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 18 comparable posts for this entry, running 29 December 2024 to 8 January 2025. 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.
Across the whole group of 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 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.
This channel’s posts match, word for word or near enough, posts on 463 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.
413 more channels are in this same group but not listed individually here.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 01:16 | 392 | -1 |
| 6 Aug 2026, 19:52 | 393 | no change |
| 6 Aug 2026, 03:44 | 393 | first reading |
20 posts held, back to 29 December 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 January 2025. An engagement rate over an empty window would be a number about nothing.
58 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 27.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 27.6% | |
| 🙏 | 16 | 27.6% | |
| 👏 | 11 | 19.0% | |
| 👌 | 9 | 15.5% | |
| 🔥 | 4 | 6.90% | |
| 👍 | 2 | 3.45% |
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 58reactions 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 29 December 2024 to 8 January 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
میخواین بدونید که شما چاقید یا لاغر؟ یا اینکه کمبود وزن دارین یا اضافه وزن؟! ◽️بر اساس این نمودار وضعیت خودتون رو بسنجید! #سلامت #پزشکی @stationHealth
👏1🔥1
Signed @stationHealth_bot
فواید برهنه خوابیدن ! ◽️برهنه خوابیدن ممکن است کیفیت خواب را با حمایت از تنظیم دمای بدن در شب بهبود بخشد. دمای مرکزی بدن شما به طور طبیعی قبل و در طول خواب کاهش می یابد و بدن شما می تواند به طور موثرتری دمای خود را بدون لایه های لباس تنظیم کند. ◽️برهنه خوابیدن باعث می شود هنگام رفتن به رختخواب احساس خنکی بیشتری داشته باشید و به شما کمک می کند سریعتر بخوابید. بدن شما می تواند در حالت برهنه بودن، دمای خود را بهتر تنظ…
👏1🔥1
Signed @stationHealth_bot
قلب سالم تر با آووکادو 🥑🫀 ▫️مصرف منظم آووکادو میتواند به کاهش کلسترول منجر شود و خطر بیماریهای قلبی و بیماریهای عروق کرونر را کم کند. بنابراین افزودن آن به رژیم غذایی بیشتر افراد فایده دارد. ▫️در مطالعه دیگری اشاره می شود که افرادی که در هفته حداقل دو وعده آووکادو میخورند (معادل یک آووکادوی کامل)، خطر ابتلا به بیماریهای قلبیعروقی ۱۶ درصد و خطر بیماریهای عروق کرونر ۲۱ درصد کاهش یافت. ▫️دلیل دیگری که آووکادو…
❤1👌1👏1
Signed @stationHealth_bot
آجیل خطر ابتلا به ۱۷ سرطان را کاهش میدهد ▫️نتیجه این تحقیقات نشان داد که افراد دارای سن بالای ۶۵ که سه وعده یا بیشتر آجیل در هقته مصرف میکنند در مقایسه با افرادی که در مواقع نادر آجیل میخورند یا تقریبا از این میوههای خشک نمیخورند ممکن است کمتر در معرض خطر مرگ ناشی از بیماریهای قلبی و عروقی و سرطان قرار گیرند. ▫️نتایج این تحقیقات همچنین نشان داده که خوردن روزانه یک مشت میوه خشک میتواند خطر ابتلا به ۱۷ نوع سرط…
❤1👌1👏1
Signed @stationHealth_bot
چالش تقویت عضلات سیکس پک و پهلو 😎 ▫️با برنامه تمرین و رژیم مختص شرایط بدنی خودتون ، میزان چربی بدنتون رو کاهش بدید، عضله سازی کنید و به تناسب اندام دلخواه تون برسید. #سلامت #پزشکی @stationHealth
❤1👏1🙏1
Signed @stationHealth_bot
ادویههای مفید برای سرماخوردگی ◽️هل: خلط آور ◽️سیر: آنتی بیوتیک ◽️زردچوبه: ضد التهاب ◽️چوب میخک: ضد ویروس ◽️دارچین: ضد عفونی کننده ◽️گشنیز: تقویت کننده سیستم ایمنی #سلامت #پزشکی @stationHealth
❤1👏1🙏1
Signed @stationHealth_bot
کم کاری تیروئید و زنجبیل ◽️از هر ۱۰۰ نفر، ۳ تا ۷ نفر دارای کم کاری تیروئید هستند و باید دارو مصرف کنند. طبق گزارشها زنجبیل در کنترل علائم کم کاری تیروئید موثر است. ◽️در یک مطالعه بالینی که بر روی ۶۰ نفر انجام گردیده است مصرف ۵۰۰ میلیگرم پودر زنجبیل دو بار در روز به مدت ۳۰ روز بر روی علائم کم کاری تیروئید بررسی گردید. ◽️مصرف زنجبیل باعث بهبود شاخصهای ارزیابی کم کاری تیروئید گردید. در گروه مصرف زنجبیل، افزایش وز…
❤1👏1🙏1
Signed @stationHealth_bot
توصیه مهم درباره آنفلوانزای کودکان! ◽️جعفری متخصص اطفال: انتقال فرد به فرد بسیار است. آنتی بیوتیک در این بیماری جایگاهی ندارد #سلامت #پزشکی @stationHealth
❤1👏1🙏1
Signed @stationHealth_bot
صبحانهای که به مبارزه با سرطان می رود! ▫️فولات طبیعی یک ویتامین B مهم است که ممکن است به محافظت در برابر سرطان روده بزرگ، رکتوم و سینه کمک کند. می توانید آن را به وفور در میز صبحانه پیدا کنید. غلات صبحانه غنی شده و محصولات گندم کامل منابع خوبی از فولات هستند. ▫️همینطور آب پرتقال، خربزه و توت فرنگی سایر منابع خوب فولات مارچوبه و تخم مرغ هستند. شما همچنین می توانید آن را در لوبیا، تخمه آفتابگردان و سبزیجات سبز برگ …
❤1👏1🙏1
Signed @stationHealth_bot
فواید غرغره کردن با آب نمک ◽️اگر گلودرد دارید، غرغره کردن آب نمک (نصف قاشق چایخوری نمک در یک فنجان آب گرم) درمان ساده و طبیعی برای تسکین گلودرد است. آب نمک میتواند به از بین بردن باکتریها، باز کردن گلو و تسکین درد و تورم ناشی از گلودرد کمک کند. ◽️غرغره کردن آب نمک راهی سریع، راحت و مقرونبهصرفه است که با آب گرم احساس آرامش بیشتری میدهد اما با آب سرد هم موثر است. این روش برای بزرگسالان و کودکانی که میتوانند د…
❤1👏1🙏1
Signed @stationHealth_bot
لحاف سنگین سبب بهبود خواب می شود؟ وزن اضافی لحاف ممکن است به مغز پیام بدهد هورمونی به نام اکسیتوسین را که بهعنوان هورمون عشق شناخته میشود، ترشح کند. این هورمون هنگام ارتباط و در آغوش گرفتن تولید میشود و میتواند اضطراب را کاهش دهد کارشناسان توصیه میکنند وزن لحاف سنگین تقریبا ۱۰ درصد وزن بزرگسالان سالم باشد. بنابراین یک فرد ۷۰ کیلویی باید از پتوی هفت کیلویی استفاده کند. +لحاف سنگین برای نوزادان یا کودکان نوپا …
❤1🔥1🙏1
Signed @stationHealth_bot
برنج و ماکارونی پخته را چند روز میتوان در یخچال نگه داشت؟ #سلامت #پزشکی @stationHealth
❤1🔥1🙏1
Signed @stationHealth_bot
Showing the 12 most recent of 20 posts we hold for @stationHealth. 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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“ایستگاه سلامت” (@stationHealth), 392 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/stationHealth.
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.