Telegram RegisterThe public register of Telegram

Channel

آموزش تصویری آکوپانکچر

@acuvideo

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

1,649subscribers

+8 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001172317137
TypeChannel
Username@acuvideo
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/acuvideo

Topic

Education — 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 85% 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 4 other registered channels. They sit inside a group of 6 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.

Matching posts — open both and compare (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@acubook/114726 Jul 2026, 04:34 UTC@acuvideo/807 · this entry26 Jul 2026, 04:34 UTC1.00under a minute
@tehranacupuncture/456521 Jul 2026, 16:50 UTC@acuvideo/807 · this entry26 Jul 2026, 04:34 UTC1.004 days
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@acubook11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (92)
@tehranacupunctureshop14 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (122)
@medacubook20 (8/8 hand-verifiable sample passed)1.00under a minute@medacubook (128)
@tehranacupuncture7 (7/7 hand-verifiable sample passed)1.0027 minutes@tehranacupuncture (61)

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 1 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 21 comparable posts for this entry, running 12 May 2026 to 6 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 6, the earliest publisher we hold is @acuvideo — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · 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 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

1,6411,6491,6456 August 2026 — 1,641 subscribers7 August 2026 — 1,642 subscribers12 August 2026 — 1,649 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net +8. 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 1,640–1,650 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:231,649+7
7 Aug 2026, 09:501,642+1
6 Aug 2026, 14:341,641first reading

Engagement

21 posts held, back to 12 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.85%
avg views ÷ 1,649 subscribers
Avg views / post
80.0
6 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
6
of 21 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 6 August 2026
Posts held21 (12 May 20266 August 2026)
Views total480
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:53 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.

Recent posts

6 Aug 2026, 16:14 UTC28 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

چرا بعضی بیماران با طب سوزنی در درمان دردهای مختلف نتیجه خوبی می‌گیرند، اما بعضی درمان‌ها آن‌طور که انتظار داریم پیش نمی‌روند؟ پست ها و توضیحات کانال زیر را با دقت مطالعه کنید : https://t.me/painacu 🌹🌹🌹🌹🌹

3 Aug 2026, 06:28 UTC49 viewsread 7 August 2026
Forwarded from @embeddingbookPhoto

فقط امروز .... آخرین فرصت خرید کتاب امبدینگ با قیمت ۳ میلیون تومان هست از فردا سه شنبه قیمت به ۳/۴۰۰ افزایش پیدا میکنه اگه قصد دارید تا قبل از افزایش قیمت کتاب امبدینگ رو خریداری کنید فقط تا فردا سه شنبه مبلغ ۳ میلیون تومان به کارت زیر واریز کنید ۶۱۰۴۳۳۷۵۸۵۶۶۱۸۴۴ راهله رمضانی عکس فیش واریزی و آدرس و شماره تماس و نام گیرنده رو به تلگرام یا واتس آپ یا بله و‌ روبیکا ۰۹۳۹۰۸۶۳۵۵۴ ارسال کنید

31 Jul 2026, 07:38 UTC84 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

مجموعه *۲۰ ویدئو *آموزشی طب سوزنی اورژانسی برای بیماریها و شرایط اورژانسی با *زیرنویس فارسی* هزینه مجموعه فیلمها با زیرنویس فارسی درمان اورژانسی بیماریهای اورژانسی ۱/۵۰۰ میلیون تومان هست ۶۱۰۴۳۳۷۵۸۵۶۶۱۸۴۴ بانک ملت ، رمضانی عکس فیش واریزیتونو به خانم ایین ارسال کنید که لایسنس ورود به دوره فیلم آموزشی طب سوزنی اورژانسی برای شرایط اورژانسی با زیرنویس فارسی در اسپات پلیر براتون ایجاد بشه 📱📱 +98 990 281 6361 شماره وات

26 Jul 2026, 04:34 UTC111 viewsread 7 August 2026
Photo

اگر درمان ناباروری با طب سوزنی را به‌صورت علمی یاد بگیرید، می‌توانید یکی از پرتقاضاترین حوزه‌های درمانی را به خدمات خود اضافه کنید. در این دوره، قدم‌به‌قدم با اصول و پروتکل‌های درمان ناباروری در طب سوزنی آشنا می‌شوید؛ به‌گونه‌ای که بتوانید با اطمینان بیشتری بیماران خود را ارزیابی و درمان کنید. ✅ آموزش کاملاً آفلاین و ضبط‌شده ✅ دسترسی همیشگی به تمام ویدیوها ✅ امکان مشاهده در هر زمان و هر مکان مشخصات دوره: مدرس: دک

16 Jul 2026, 04:37 UTC114 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

قابل توجه دوستانی که کتاب امبدینگ رو پیش خرید کردند 👇🏻👇🏻👇🏻 سلام اگه کتاب دیگه ای از این لیست نیاز دارید که بخواین به دلیل صرفه جویی در هزینه پست با کتاب امبدینگتون ارسال بشه ، نهایتا تا فردا سفارشتونو ثبت کنید کتابهای این لیست همه چاپی هستند و اینکه بعضیاشون تعدادشون خیلی محدود و رو به اتمام هست برای سفارش به خانم آیین با ای دی زیر پیام بدید @Aeinacupuncture

15 Jul 2026, 04:30 UTC94 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

قابل توجه دوستانی که کتاب درمان ۱۰۰ بیماری با امبدینگ رو پیش خرید کردید طبق قول چاپخونه کتاب اوایل هفته آینده از چاپ در میاد و تحویلمون میدن لطفا برای اینکه سفارشتون رو یکبار چک کنید که جا نمونه حتما از طریق شماره زیر با خانم آیین در پیام رسانهای ایرانی و خارجی در ارتباط باشید که چک کنن سفارشتون حتما ثبت شده باشه شماره خانم آیین در پیام رسانهای ایرانی و خارجی : 09902816361

7 Jul 2026, 09:07 UTC141 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

‎ترجمه فارسی تکنیک‌ درمانی جدید و اعجاب انگیز دانمارکی طب سوزنی ۲۰۰۰ یا معروف به تکنیک آکونوا با تمرکز بر ۱۰ سبک درمانی مختلف 1-AcuNova 2-AcuLine 3-AcuChronic 4-AcuMagic 5-AcuKnee 6-AcuSpine 7-AcuStomach 8-AcuOne 9-AcuDNA 10-Acuking این ده سبک جدید در درمان بیشتر بیماریها تاثیر عالی و فوری دارد ، که با درمان هر مفصلی در بدن با تاثیر بر روی مغز بر قسمتهای مختلف بدن تاثیر میگذارد این ده سبک به فارسی ترجمه شده و در

2 Jul 2026, 15:21 UTC139 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

اولین کتاب در زمینه آموزش امبدینگ یا کاشت نخ در نقاط طب سوزنی برای درمان چاقی و بیش از ۱۰۰ بیماری تا دو هفته دیگه از چاپ در میاد توی این کتاب به طور کامل روش کاشت نخ در هر نقطه، سایز نخ و سوزن مناسب هر نقطه به همراه روش اجرا کاشت نخ برای بیش از ۱۰۰ بیماری با جزییات کامل آموزش داده شده اگه این کتاب رو هنوز نخریدی الان میتونی با واریز ۳ میلیون تومان بابت هزینه کتاب و پست این کتاب کاربردی و عالی رو تهیه کنی 610433871

26 Jun 2026, 05:22 UTC168 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

میدونستی کتاب «درمان ۱۰۰ بیماری با امبدینگ» رو فقط تا فردا فرصت داری با تخفیف خرید کنی ؟ مجوز و فیپا کتاب صادر شده و از شنبه فرآیند چاپ به‌طور رسمی شروع می‌شود. از این مرحله به بعد، چون هزینه چاپ به‌طور کامل باید به چاپخانه پرداخت بشه، دیگه امکان ادامه شرایط پیش خرید با تخفیف وجود نداره اگر هنوز قصد تهیه کتاب با ۲۰٪ تخفیف ویژه پیش خرید را دارید، تنها تا فردا فرصت دارید. برای پبش خربد کتاب با ۲۰ درصد تخفیف و هزینه

21 Jun 2026, 07:58 UTC176 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

اگر امبدینگ کار می‌کنید، احتمالاً بارها برایتان این سؤال پیش آمده: برای هر بیماری از چه نقاطی استفاده کنم؟ سایز نخ و سوزن چقدر باشد؟ عمق و زاویه کاشت در هر نقطه چطور انتخاب شود؟ کتاب «درمان ۱۰۰ بیماری با امبدینگ» دقیقاً برای پاسخ به همین نیاز آماده شده است. در این کتاب، آموزش درمان چاقی به‌همراه ۱۰۸ بیماری دیگر با جزئیات کامل روش اجرایی، نقاط مورد استفاده، سایز نخ و سوزن، عمق و زاویه کاشت در هر نقطه توضیح داده ش

12 Jun 2026, 08:21 UTC181 viewsread 7 August 2026
Forwarded from @tehranacupuncture

📌📌📌 خبر دارین کلی فایلهای آموزشی طب سوزنی کاربردی به صورت رایگان براتون تهیه شده و خیلی از دوستان دارن از این فایلها استفاده میکنن ؟ اگه شما هم مایل هستید این فایلها رو دریافت کنید مراحل زیر رو انجام بدید : ۱- شماره ۰۹۳۵۸۳۵۶۸۶۴ رو به اسم راهله رمضانی ذخیره کنید ۲- به تلگرام یا واتس آپ خط ۰۹۳۵۸۳۵۶۸۶۴ اطلاعات خودتون شامل اسم و فامیل و شماره موبایلتونو بفرستید که منم بتونم شماره شما رو ذخیره کنم ۳- پوستر موضوعات آم

10 Jun 2026, 16:31 UTC175 viewsread 7 August 2026
Forwarded from @tehranacupuncturePhoto

طب سوزنی ناف یکی از میکروسیستم‌های خاص و عمیق در طب چینیه که به دلیل ارتباط هولوگرافیک ناحیه ناف با اندام‌های داخلی، برای درمان بیماری‌های صعب‌العلاج، تومورها و حتی سرطان میتونه به‌عنوان یک درمان کمکی در کنار روند درمان پزشکی، برای کاهش علائم، تقویت بدن و بهبود کیفیت زندگی استفاده بشه. سوزن گذاری در این روش فقط در دیواره ناف انجام میشه و با روش طب سوزنی لاک پشتی یا طب سوزنی شکم که سوزنگذاری روی شکم و برای دردهای اسک

Showing the 12 most recent of 21 posts we hold for @acuvideo. 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

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

“آموزش تصویری آکوپانکچر” (@acuvideo), 1,649 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/acuvideo.

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.