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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. 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.
Matching posts — open both and compare (4 of the pairs behind the counts below)
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 4 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 19 comparable posts for this entry, running 2 January 2024 to 25 September 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.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @super_foud. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
5 measurements spanning 6 days, net +7. 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 4,267–4,276 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 20:33
4,275
+3
10 Aug 2026, 00:51
4,272
+3
6 Aug 2026, 14:04
4,269
+1
6 Aug 2026, 08:45
4,268
no change
6 Aug 2026, 08:39
4,268
first reading
Engagement
20 posts held, back to 2 January 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 5 pagesof 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 25 September 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
12m 49s
Average length
1m 36s
Measured directly from 8 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
301 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 49.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
149
49.5%
👍
144
47.8%
👎
7
2.33%
🔥
1
0.332%
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 19 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 301reactions 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 2 January 2024 to 25 September 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.
🔴 کمبود ویتامین D منجر به چاقی میشود.
🔸در صورتی که مقدار ویتامین D بدنتان کم باشد، سطح هورمون پاراتیروئید و کلسترول افزایش مییابد و در نتیجه چربیها در بدن ذخیره میشوند.
۱۱ ماده غذایی که منبع ویتامین D هستند.
۱. ماهی سالمون
۲. شاه ماهی و ماهی ساردین
۳. روغن کبد ماهی کاد
۴. کنسرو ماهی تن
۵. میگو
۶. زرده تخم مرغ
۷. قارچها
۸. شیر گاو
۹. شیر سویا
۱۰. آب پرتقال
۱۱. غلات و جودوسر
#سوپر_فود غنی از ۲۴ ویتامین اورگان…
🔴غذاهای غنی از منیزیم و لوتئین مغز شما را از پیری نجات میدهد
🔸مصرف روزانه ۵۵۰ میلیگرم منیزیم میتواند مغز را در ۵۵ سالگی یک سال جوانتر نگه دارد و تا ۴۱ درصد سلامت مغز را بهبود بخشد.
🔸غذاهای غنی از منیزیم شامل تخمه کدو، بادام، دانه چیا، اسفناج، شاتوت، شیر سویا، بادام هندی و کره بادام زمینی است.
🔸لوتئین نیز به حفظ عملکرد شناختی و کاهش خطر زوال عقل کمک میکند.
یا اینها را مصرف کنید یا میتوانید سوپر فود مصرف کنید
🔴 خواص بی نظیر کنجد برای بدن
▫️ تقویت گردش خون، کاهش التهاب
▫️ بهبود هضم، مناسب برای مو
▫️ سلامت تنفسی، سلامت چشم
▫️ سلامت نوزادان
▫️ تقویت سلامت استخوان ها
▫️ جلوگیری از چین و چروک
▫️ درمان آرتریت، درمان کم خونی
▫️ کاهش اضطراب
▫️ پیشگیری از سرطان
▫️ تقویت سلامت قلب
▫️ کلسترول پایین تر
▫️ کاهش فشار خون
▫️ کنجد از دیابت جلوگیری می کند
🔴برای پاکسازی روده ها از سرکه سیب استفاده کنید
🔸دو قاشق غذا خوری سرکه سیب را با یک لیوان آب مخلوط کرده و خوب تکان دهید و هم بزنید و میل کنید. از این مخلوط صبح ها بنوشید و خواهید دید که بعد از چند روز حرکات روده شما منظم و طبیعی خواهد شد
🔸سرکه سیب حاوی آنزیم هایی است که موجب رشد پروبیوتیک ها می شود. همچنین ماهیت اسیدی این ماده بی نظیر می تواند به سختی با موادی که سال ها روده بزرگ را مسدود کرده اند مبارزه کند.
شیر تاریخ مصرف گذشته را دور نریزید
کلسیم موجود در آن برای شادابی و تقویت رشد گل و گیاهان عالیست !
👈مقداری از شیر را با آب ترکیب و در گلدان یا باغچه بریزید
🔻دفع سموم وتصفیه خون وتصفیه هوا باقراردادن پیازدرجورابتان ⬇️
🔸مزایای قرار دادن یک حلقه پیاز در جورابتان ( روی کف پا ) هنگامی که خواب هستید:
1. تصفیه خونتان:
اسید فسفریک پیاز مانند داروهای ترنس درمال از طریق پوست به داخل بدن نفوذ کرده و خون را تصفیه میکند.
2. از بین بردن میکروب، باکتری و عوامل بیماری زا:
پیاز ( و سیر ) مزایای ضد ویروس و ضد باکتری زیادی دارند.
3. تصفیه هوا:
همین بوی بد پیاز که کمی اطراف شما را در ب…
آلوئهورا نجاتی واقعی برای کسانی است که از مشکلات بینایی رنج میبرند. من دستور تهیه یک درمان فوقالعاده با آب آلوئهورا را با شما به اشتراک میگذارم.
این درمان یک التیام واقعی برای چشمهاست! میتوان آن را با موفقیت برای درمان آبمروارید، درد چشم و همچنین التهاب پلکها استفاده کرد.
چگونه بینایی خود را بازگردانیم
مواد لازم:
• ۱۰۰ گرم آب آلوئهورا
• ۵۰۰ گرم گردوی خرد شده
• ۳۰۰ گرم عسل
• ۳ تا ۴ عدد لیمو
روش تهیه…
منشا ۹۰ درصد بیماریها همین کمبود وعدم بالانس به ریز مغذی هاست.
ومنشا اصلی این مهم تغدیه ناصحیح ونادرسته .البته بهترین وگرانترین وبالانس ترین تغذیه های جهان هم نمیتونه صد در صد این نسبتهای ریز مغذی ها رو تامین وتنظیم کنه .مثلا نسبت امگا۳ به امگا۶ در بدن باید حدود یک به یک باشه یعنی شما در ازای خوردن یک گرم امگا۳ نیاز به مصرف یک گرم امگا۶ دارین در حالی که این نسبت یک به ده هست وحتی یک به پنجاه خوب طبیعیه که اینهمه مشک…
📽کلیپ رو حتما حتما ببینید👆👆👆
درمان کبد چرب گرید 3😍
#رفع_کامل_مشکل_کبد_چرب_گرید_۳_و _نرمال_شدن_کبد
#نرمال_شدن_آنزیمهای_کبد
#رفع_کامل_کیست
#چربی_دور_قلبشون_هم طبیعی شده
جهت مشاوره و سفارش محصول آیدی زیر را لمس کنید
@nbsfoud
باسلام ودرود به خانواده بزرگ ان بی اس
اومدیم بایه رضایت توپ 😍😍👇👇👇👇👆👆👆👆
پدرایشون دیابت چربی فشار داشتن
ویکی از مویرگ های عصب چشمی بسته شده بود که دکترها گفتن بعد ۶ماه خودبه خود یا خوب میشه یا تا اخر عمر همین طور باقی میماند و این بسته شدن رگ باعث انحراف چشمی شده بودن و به اسرار پسرشون بسته رو تهیه کردن استفاده کردن و جای تعجب داره دکترا که گفتن ۶ماه اونم ۵۰۵۰ بااستفاده این پودر که بادوز اندازه عدس شروع کردند و درنهای…
👍6❤4
Showing the 12 most recent of 20 posts we hold for @dr_ravazade. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“دکتر روازاده (طب سنتی)” (@dr_ravazade), 4,275 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/dr_ravazade.
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.