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 11 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
35 measurements spanning 44 days, net -142. 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 12,594–12,778 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
19 Sept 2026, 03:19
12,615
-5
16 Sept 2026, 19:58
12,620
-7
15 Sept 2026, 00:00
12,627
-5
13 Sept 2026, 12:21
12,632
-6
11 Sept 2026, 15:55
12,638
-11
9 Sept 2026, 01:40
12,649
-8
5 Sept 2026, 16:56
12,657
-11
3 Sept 2026, 16:00
12,668
-3
2 Sept 2026, 05:52
12,671
-4
1 Sept 2026, 02:15
12,675
-8
30 Aug 2026, 23:18
12,683
-3
29 Aug 2026, 21:54
12,686
-4
28 Aug 2026, 20:55
12,690
-2
27 Aug 2026, 23:59
12,692
-1
27 Aug 2026, 00:24
12,693
-4
26 Aug 2026, 01:04
12,697
-1
25 Aug 2026, 03:08
12,698
-6
23 Aug 2026, 22:17
12,704
-7
22 Aug 2026, 04:38
12,711
-5
20 Aug 2026, 20:13
12,716
first reading
Engagement
19 posts held, back to 9 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 48 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 19 posts for this entry, the most recent from 14 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 39s
Average length
50s
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
302 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 59.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
181
59.9%
👍
120
39.7%
👎
1
0.331%
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 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 302 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 9 May 2025 to 14 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.
ویدیویی جالب از خانم مهرنوش صادقی(مشاور تغذیه) که با چهرهی خودش، تظاهراتِ اختلالاتِ متابولیکی در صورت را نشان داده است؛ بسیاری از این اختلالات، با علائم روانپزشکی مراجعه میکنند مثل اضطراب و افسردگی و پانیک...
راهی برای رشد بجز خودآگاهی زیستی،روانی،اجتماعیومعنوی وجود ندارد.
💬 دکتر روح الله صدیق
@Salamat_giyahi
این روزها با کوهی از کورتیزول مواجهیم
نه یک اوج، نه یک فرود؛
سطحی که بالا میماند
بیخوابی یا خواب سبک
کورتیزول بالا شبها خاموش نمیشود
فرسودگی عاطفی و بیحسی
جایی که غم دیگر اشک ندارد
اختلال تمرکز و حافظه
هیپوکامپ قربانی اول کورتیزول
امان از همراهی سوگ و استرس
@Salamat_giyahi
الان وقت کار علمی نیست
اما لطفا دقت کنید
داروهای اعصاب و روان:
- مسکن نیستند
- موقتی نیستند
- نسخه مجازی ندارند
- قابلیت شروع،قطع، جایگزینی، افزایش و کاهش ناگهانی و سرخود ندارند.
- دهها عارضه جانبی و خطرناک دارند.
لطفا دقت کنید
@Salamat_giyahi
تحقیقات نشون میده بوییدن رزماری حافظه رو ۷.۵ درصد تقویت میکنه.
نه قرص، نه اپ، نه subscription. یه گیاه ساده.
بعضی وقتا بهترین biohackها هموناییان که مامانبزرگها میگفتن.
ShiningScience
@Salamat_giyahi
قدم زدن سریع ترین راه حل بدن شماست که سیستم عصبی و سطح کورتیزولش رو تنظیم کنه و رقابت تنگاتنگ فکرهای اذیت کننده رو در سرمون کند کنه.
پس تصمیم مهمی نگیرید قبل از اینکه قبلش کمی پیاده روی کرده باشید.
@Salamat_giyahi
جوش در قسمت های مختلف
🔸چانه: استرس
🔸بینی: غذای ناسالم، گردش خون ضعیف و سوء هاضمه
🔸اطراف لب ها: عدم تعادل هورمونی
🔸پیشانی: غذای فرآوری شده و عدم خواب کافی
🔸گونه: لبنیات زیاد، حساسیت
@Salamat_giyahi
آلبرت الیس(بنیانگذار رویکرد عقلانی هیجانی) میگه:
اگر شما چای دوست داشته باشید و پارتنرتان قهوه،
شما با هم "فرق" دارید.
اما اگر شما اصرار کنید که باید او چای را بیشتر از قهوه دوست داشته باشه، شما با هم "اختلاف" دارید.
"فرقها" ریشه در تفاوتِ سرشتها دارند و راهحل، در پذیرش آنهاست
و "اختلافات" ریشه در تفاوتِ منش ها دارند و راهحل، در پختگی و اعتلای مهارتهاست.
@Salamat_giyahi
👍26❤10
Showing the 12 most recent of 19 posts we hold for @salamat_giyahi. 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“سلامت گیاهی💯” (@salamat_giyahi), 12,615 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/salamat_giyahi.
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.