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 97% 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 (6 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 0 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 13 comparable posts for this entry, running 25 July 2026 to 2 August 2026. 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 @amozeshetebesonatikotobetebi — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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.
14 measurements spanning 43 days, net +86. 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 6,159–6,271 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:18
6,258
+11
15 Sept 2026, 10:57
6,247
+11
11 Sept 2026, 12:58
6,236
+16
6 Sept 2026, 22:16
6,220
+9
2 Sept 2026, 13:04
6,211
-4
30 Aug 2026, 08:08
6,215
+9
27 Aug 2026, 11:03
6,206
+5
24 Aug 2026, 06:17
6,201
+9
20 Aug 2026, 03:57
6,192
+9
16 Aug 2026, 21:18
6,183
+6
13 Aug 2026, 05:15
6,177
-1
10 Aug 2026, 05:11
6,178
+5
7 Aug 2026, 11:18
6,173
+1
7 Aug 2026, 06:01
6,172
first reading
Engagement
27 posts held, back to 25 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 9 pages of 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 27 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
24m 01s
Average length
1m 51s
Measured directly from 13 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.
ورزش نکردن حتی میتونه از سیگار هم خطرناکتر باشه!
وقتی حرف از مرگومیر و بیماری میشه، احتمالاً اولین چیزی که به ذهنتون میاد سیگاره.
ولی یه تحقیق بزرگ روی بیش از ۱۲۲ هزار نفر به یه نتیجه جالب رسید: آمادگی جسمانی خیلی پایین، با خطر مرگ بیشتری همراه بود و این ارتباط حتی از سیگار کشیدن و دیابت هم قویتر دیده شد.
یعنی چی؟ یعنی تحرک و ورزش فقط برای لاغر شدن یا عضله ساختن نیست؛ یکی از مهمترین کارهاییه که میتونید برای …
به یاد داشته باشیم
که کووید-19 با دکل های مخابراتی و امواج ارتباط مستقیم دارد
کرونا و فعال شدن ویروسهای خاموش بدن
یک مطالعه روی بیش از ۱۰۰۰ بیمار مبتلا به کووید-۱۹ نشان داد که کرونا میتواند باعث فعال شدن دوباره برخی ویروسهای نهفته در بدن شود.
حدود نیمی از بیماران حداقل یک ویروس نهفته، از جمله اپشتینبار (EBV) و برخی ویروسهای هرپس، را دوباره فعال کردند.
این اتفاق حتی در بعضی افراد سالم هم دیده شد و با کووید شدیدت…
هر نوع نوشابه معمولی، سرشار از شکر است.
معمولا این شکر به شکل شربت ذرت با فروکتوز بالا می باشد که برای افراد دارای سنگ کلیه مضر می باشد.
این مقدار شکر می تواند سطوح کلسیم ادرار را افزایش دهد و منجر به افزایش خطر سنگ های کلیه کلسیمی شود.
در حقیقت، مصرف کنندگان نوشابه معمولی، بیشتر در معرض خطر سنگ های کلیه قرار دارند.
میخچهای که بدون تیغ و خونریزی، در یک هفته درمان شد!
تهیه پماد :
مقداری روغن نارگیل
مقدار کمی جوششیرین خالص و اورجینال
ترکیب کنید تا خمیری نرم و قابلاستفاده به دست آید.
او مقدار کمی از خمیر را فقط روی محل میخچه قرار داد و خوشبختانه طی یک هفته، میخچهاش بهبود قابلتوجهی پیدا کرد؛ بدون جراحی، خونریزی یا هزینههای سنگین.
هیچ وقت ادرار خود را نگه ندارید!
◽️عوارض نگهداشتن ادرار در بانوان شایع تر و خطرناکتر است؛ فرد علاوه بر سندروم دفع ناقص، دچار یبوست مزمن نیز میشود. اهمیت توجه به نگه نداشتن ادرار در بانوان باردار بسیار بیشتر خواهد بود. زیرا عفونت ادراری ایجاد شده بر اثر نگهداری ادرار در بانوان باردار سریعتر اتفاق افتاده و آسیبهای جدی را بر جنین وارد می سازد.
پس بگذارید از شما بپرسم. بیماری های روانی چقدر رایج شدهاند؟ چقدر برای شما عجیب بوده است که به اینترنت بروید و بفهمید که بسیاری از مردم فراز و نشیب و اضطراب دارند و خسته یا بیحال هستند و نمیدانند چرا، اما به نظر میرسد همه ما این را به عنوان یک گروه تجربه میکنیم؟ چند مورد از این مشکلات روانی در نسل والدین یا پدربزرگ و مادربزرگهای ما وجود داشته است؟ و چند مورد از اینها به نظر میرسد القائئ است که در محیط پخش میشو…
ادامه خلاصه ویدیو فوق☝🏻☝🏻☝🏻☝🏻☝🏻☝🏻
«چشماندازهای دنیای جدید» نیروی هوایی (1994):
گوینده به این گزارش استناد میکند که در آن پتانسیل نظری استفاده از انرژی الکترومغناطیسی برای کنترل احساسات، القای خواب، حذف خاطرات و انتقال «مجموعههای تجربه» به سوژههای انسانی مورد بحث قرار گرفته است.
سعی وی در این ویدیو این است که بگوید این فناوری برای دههها در «دنیای سیاه» تحقیقات نظامی نگه داشته شده است. آنها معتقدند که افزایش فعل…
گوینده استدلال میکند که فناوری مدرن رابط مغز و کامپیوتر (مانند اسباببازی «Mind Flex» ابتدایی است و عموم مردم در مورد وضعیت واقعی فناوری عصبی گمراه میشوند.
خلاصهای از نکات هم ویدیو:
گوینده می گوید که فناوری نظارت و نفوذ از راه دور بر مغز بیش از 50 سال است که وجود دارد و بسیار پیشرفتهتر از هدستهای تجاریست که در حال حاضر در دسترس عموم قرار دارند.
شواهد تاریخی ذکر شده در ویدیو
ثبت اختراع ایالات متحده 3,951,134 (…
Showing the 12 most recent of 27 posts we hold for @amozeshetebesonatikotobetebi. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 3 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.
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.
Satvica Holistic Academy @satvica · 30,299 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 7 September 2026
کانال رسمی استاد کاوه @ostadkavehchanel · 45,046 Telegram ranks this channel #29 of 91 here — alongside 90 others — read 5 September 2026
استوری اینستاگرام @insta_sttory · 40,132 Telegram ranks this channel #54 of 74 here — alongside 73 others — read 18 September 2026
نهج البلاغه @nahjolbalagheh · 28,438 Telegram ranks this channel #66 of 78 here — alongside 77 others — read 9 September 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“کانال آموزش طب سنتی و کتب و نسخه های طبی” (@amozeshetebesonatikotobetebi), 6,258 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/amozeshetebesonatikotobetebi.
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.