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 12 September 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.
Growth
14 measurements spanning 40 days, net -55. 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 6,623–6,694 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 10:39
6,631
-6
11 Sept 2026, 15:38
6,637
-7
6 Sept 2026, 19:56
6,644
-4
2 Sept 2026, 04:33
6,648
-4
30 Aug 2026, 05:47
6,652
-5
26 Aug 2026, 21:13
6,657
-6
24 Aug 2026, 04:03
6,663
-9
20 Aug 2026, 02:54
6,672
-3
17 Aug 2026, 10:37
6,675
-5
13 Aug 2026, 14:36
6,680
-2
11 Aug 2026, 00:41
6,682
-3
7 Aug 2026, 13:56
6,685
-1
6 Aug 2026, 19:00
6,686
no change
6 Aug 2026, 18:57
6,686
first reading
Engagement
13 posts held, back to 22 October 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 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 13 posts for this entry, the most recent from 7 April 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 04s
Average length
1m 41s
Measured directly from 3 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
80 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 71.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
57
71.3%
❤
14
17.5%
👏
3
3.75%
👌
2
2.50%
🙏
2
2.50%
👎
1
1.25%
🥰
1
1.25%
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 12 of the 13 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 22 October 2023 to 7 April 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
✅مراجعه کننده عزیزمان حدود ۱۱ سال دچار #اضطراب و #وسواس شدید بودند که به دلیل همین #اضطراب دچار #دندان_قروچه و #عصبانیت
می شدند پس از انجام درمان های مختلف ونتیجه بخش نبودن درمان های قبلی طی این سالیان. به #زیما_درمان مراجعه کردند و بعد از ویزیت توسط متخصص اعصاب و روان خانم دکتر کاملی انجام ۱۰ جلسه ار تی برایشان تجویز شد. هماکنون بسیاری از مشکلاتشان، برطرف شده است
🔻ارتباط جهت مشاوره باآیدی و تلفن زیر👇
🆔 @Drmshcli…
جهت دریافت نوبت لطفا با شماره های کلینیک تماس بگیرید
📡 راه های ارتباطی جهت دریافت نوبت و مشاوره :
🏥 سعادت اباد بلوار سرو غربی ضلع شمال غربی چهارراه سرو، ابتدای خیابان نامی، پلاک ۱۹ جنب پلیس +۱۰ طبقه چهارم داروخانه دکتر داشبلاغی، کلینیک زیما درمان
https://maps.app.goo.gl/epXYajsV89vXpmrQA
☎️ 09129478256
☎️02125917864
🌐Zimadarman.com
Showing the 12 most recent of 13 posts we hold for @clinic_shenakht. 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 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.
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.
فرشید پاکذات (دانشگاه ثروت تخصصی ،NLP و هیپنوتیزم) @farshidpakzat_nlp · 22,039 Telegram ranks this channel #15 of 64 here — alongside 63 others — read 21 September 2026
کتاب های علوم غریبه @uloomgharibeh · 23,512 Telegram ranks this channel #28 of 64 here — alongside 63 others — read 18 September 2026
اکو آنلاین @econline_ir · 24,900 Telegram ranks this channel #30 of 51 here — alongside 50 others — read 15 September 2026
This channel appears in 3 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“کلینیک مغز، اعصاب و روان زیمان درمان” (@clinic_shenakht), 6,631 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/clinic_shenakht.
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.
