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 13 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
8 measurements spanning 24 days, net +242. 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 3,560–4,911 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:56
3,958
-95
13 Sept 2026, 03:57
4,053
-120
8 Sept 2026, 22:39
4,173
-210
3 Sept 2026, 15:36
4,383
-177
31 Aug 2026, 01:04
4,560
-195
28 Aug 2026, 05:45
4,755
+716
25 Aug 2026, 05:37
4,039
+323
24 Aug 2026, 05:30
3,716
first reading
Engagement
19 posts held, back to 13 August 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 1 page 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 19 posts for this entry, the most recent from 23 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
35s
Average length
18s
Measured directly from 2 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
190 reactions across 18 posts, in 24 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
❤
94
49.5%
🤣
26
13.7%
🍓
10
5.26%
👍
10
5.26%
💔
10
5.26%
🎉
8
4.21%
😍
8
4.21%
👌
3
1.58%
💅
3
1.58%
👏
2
1.05%
💊
2
1.05%
🥰
2
1.05%
🆒
1
0.526%
🐳
1
0.526%
💋
1
0.526%
🔥
1
0.526%
🕊
1
0.526%
😁
1
0.526%
😘
1
0.526%
😢
1
0.526%
4 further kinds
4
2.11%
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 18 of the 19 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 190 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 13 August 2026 to 23 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🩺 امروز با یه مورد جالب روبهرو شدم گفتم با شمام درمیون بگذارم ...
وقتی اسم «زونا» میاد، معمولاً همه یاد بزرگسالا میوفتن؛ اما جالبه بدونید که گاهی توی بچهها هم دیده میشه 👧🏻
این کودک سه ساله ضایعات پوستی داشت که در نگاه اول شاید شبیه یه التهاب ساده بود، ولی یه نکته مهم وجود داشت:
🔎 ضایعات دقیقاً در مسیر یک عصب مشخص (درماتوم) قرار گرفته بودن.
💧 دونههای آبکی و خوشهای هم سرنخ مهم دیگهای بودن.
زونا در واقع فعال ش…
🩺روز پزشک مباااارک🩺
تبریک به همه دوستان پزشک و همه کادر فداکار درمان💉💊
پیشاپیش تبریک به دوستان و عزیزانی که عاشقانه و خالصانه دوست دارن در آینده قدم در این مسیر شریف بگذارن 🥹🌺
از خانم دکتر جمشیدی دندانپزشک عزیز بابت گل زیباشون همچنین شیرینیای خوشمزه آزمایشگاه کاشف فلاورجان بسیار متشکرم
کانالآموزشیدرمانی💉دکترهیلکس
@Dr_healix🥸
یه جایی کار میکردم یه خانوم نسبتا جوونی میومدن همیشه دارو هاشون رو میگرفتن ازم
یه بار ازشون پرسیدم سابقهی بیماری مادرزادی داشتین البته این وضعیت به سکته مغزیم میخوره ولی نه واسه سن شما
آخه یکی از دستاشون از نظر قدرتی خیلی ضعیف تر بود پای همون سمتشون هم کمی لنگ میزد
گفتن آره .. ولی نه واسه الان ، خیلی سال پیش
بیست و خورده ای سالم بود ..
سوال شد واسم چرا باید یه خانم بیست و خورده ای ساله سکته مغزی کنه
مگر ریسک تروم…
آسپیرین رو بخوریم یا نه بالاخره
خیلیها فکر میکنن آسپرین چون ارزونه و یه داروی قدیمیه، پس روزی یکی خوردنش حتماً برای قلب خوبه؛
شلم که میکنه خونو پس بده بره ، بخوریم ریلکس کنیم 💊
🩸 آسپرین جلوی چسبیدن پلاکتها به هم رو میگیره و به همین خاطر میتونه احتمال تشکیل بعضی لختهها رو کمتر کنه
❤️ اگه کسی قبلاً سکته قلبی، انواع لخته دهنده سکته مغزی (نه از نوع خونریزی مغزی❗️) ، سابقه ی گرفتگی عروق یا استنت (همونفنر) قل…
اومده خانومه نیم ساعت آزمایش نوشتم
داره میره بیرون میگه حالا جواب رو ببرم دکتر ببینه یا شمام میتونی ببینی
من به دیوار خیره ، خودکارمون از خجالت یه ساعت نمینویسه ، مانیتورم از حال رف ..
فلوکستینی نشم فقط از دسی اینا ..
🤣17🤪1
Showing the 12 most recent of 19 posts we hold for @Dr_healix. 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.
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“🩺دکتر هیلکس🩺” (@Dr_healix), 3,958 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Dr_healix.
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.