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 9 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 54 days, net -625. 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 32,795–33,608 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
30 Sept 2026, 13:35
32,889
-66
18 Sept 2026, 02:00
32,955
-19
15 Sept 2026, 18:59
32,974
-19
14 Sept 2026, 05:58
32,993
-21
12 Sept 2026, 11:56
33,014
-27
10 Sept 2026, 06:58
33,041
-37
6 Sept 2026, 21:56
33,078
-17
4 Sept 2026, 10:38
33,095
-21
3 Sept 2026, 01:44
33,116
-10
2 Sept 2026, 02:13
33,126
-2
1 Sept 2026, 04:07
33,128
-4
31 Aug 2026, 02:05
33,132
-6
30 Aug 2026, 00:28
33,138
-23
29 Aug 2026, 02:28
33,161
-15
28 Aug 2026, 02:45
33,176
-12
27 Aug 2026, 06:13
33,188
-19
26 Aug 2026, 06:48
33,207
-28
25 Aug 2026, 06:34
33,235
-12
24 Aug 2026, 09:36
33,247
-30
22 Aug 2026, 18:58
33,277
first reading
Engagement
107 posts held, back to 11 March 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 90 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.43%
avg views ÷ 32,889 subscribers
Avg views / post
2,770
33 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
33
of 107 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
Window
Rolling 30 days · latest post in window 30 September 2026
Posts held
107 (11 March 2026 – 30 September 2026)
Views total
91,483
Reactions total
1,583
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 07:49 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.
What this channel posts
Video runtime
2h 50m
Average length
1m 51s
Measured directly from 92 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
5,917 reactions across 107 posts, in 25 distinct kinds. The most used accounts for 47.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,789
47.1%
👍
2,382
40.3%
🥰
277
4.68%
😱
83
1.40%
🙏
61
1.03%
👏
55
0.93%
🕊
53
0.896%
💯
34
0.575%
❤🔥
31
0.524%
😢
28
0.473%
🎉
24
0.406%
👌
23
0.389%
😭
21
0.355%
🐳
11
0.186%
💔
10
0.169%
😍
9
0.152%
👀
7
0.118%
🤗
5
0.085%
⚡
4
0.068%
🏆
2
0.034%
5 further kinds
8
0.135%
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 107 of the 107 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 5,917 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 107 most recent posts we hold, published 11 March 2026 to 30 September 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.
Telegram Stars
Stars received
853
across the posts below
Posts paid on
20
of 107 we hold a reading for · 19%
Most on one post
245
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Sihatkom1. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 107 most recent posts we hold for this entry, published 11 March 2026 to 30 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
بيت الطفيليات "الداء " هو الأمعاء وان كانت الأمعاء بها طفيليات فهذا يعني امراض مثل توحد،سكري،سرطانات، قولون عصبي،امراض مناعيه ذاتيه الخ الخ.
🤺🤺من الوصفات الطبيعيه للأمعاء
الإكثار من زيت الزيتون وزيت جوز الهند، شرب عصير البابايا او عصير منقوع القرع او مغلي الشيح.
النيجه 🤺شفاء
لمريض السرطان
ركز معي
الميثيلين الأزرق (Methylene Blue) هو جزيء نشط في عمليات الأكسدة والاختزال (Redox). ويمكنه داخل الميتوكوندريا أن يعمل كناقل بديل للإلكترونات.
الميثيلين الازرق… ليس مجرد صبغة. 🔵
داخل الميتوكوندريا يمكنه العمل كـ«ناقل للإلكترونات»، فيغير طريقة تدفقها واستهلاك الاكسجين وإنتاج الطاقة.
والاغرب؟ 🧬
دراسات ونتائج مذهله 🤺🤺 وجدت انه يستطيع التأثير في نمو الخلايا السرطانية واضعافها بل شلها ، خصوصا في نماذ…
🔥🔥الهونزا قبيلة من الباكستان🔥🔥 لايصابوا بالسرطان لأنهم يأكلوا بذور المشمش ويحولوها لزيت ايضا يعيشوا أكثر من ١٦٠ عاما لا يصابوا بأمراض ولا يأكلوا الخبز الأبيض المعدل كيمائيا. يستحموا بالماء البارد لهذا جسمهم ومناعتهم قوية. 🤺هل حاولت ان تقلدهم كي تكون بعيد عن الأمراض مثلهم 👌👌
عشبة الشيح اثبتت التحاليل والدراسات انها فعاله في القضاء على الخلايا السرطانيه. ومع هذا الإكتشفاف تم شل هذه الأبحاث وعدم التعمق فيها لا لشيء بل كي لا تخسر شركات الكيماوي الجشعه.
في الطب الصيني والطب العربي القديم كانوا يعالجون آلام المفاصل وخشونة الركبة وحتى الكسور .. بالصوف والزيوت الطبيعية. وكان بعضهم يقول: «والله خف الألم!»
أما الطب الحديث، فممكن يعطيك 3 أدوية، وتحليلين وممكن تحليل غالي فقط من اجل الفلسفه الزايده ، ورنين مغناطيسي. وبعدها يقول لك سامحنا على القرحه التي اعطيناك اياها من اثار هذه الأدويه و «حاول ترتاح، وخفف الوزن، وراجعنا بعد 6 أشهر يا قرابه ولازم تغيير ركبه » وبعدها انتكاسا…
من طرق علاج السرطان
هل تعلم ان موقع Nih
هو موقع ابحاث طبي تابع للحكومه الأمريكيه
ومنذ سنوات يبين ان الإيفرمكتين يقضي على السرطان.
لكن يتعمد الجشعين اخفاء هذه المعلومات
ونحن نظهرها لكم ونتحداهم 👌🔥
اقسم بالله انها أجمل هديه في حياتي من أخت كريمه.. انا أعتبرها وسام "كفالة ايتام رعاية شامله نحو حياة كريمة" فما أجمل ان نتهادى كمسلمين بفعل الخير ونشر طاقة النور وضعت الإهداء الجميل لتدعوا لوالدتها بالشفاء فالدعاء طاقه وبنيه صادقه منكم في الدعاء يقينا بالله في شفائها فستكونوا قد ساهمتم جميعا بعمل خير وطاقة نور تماما مثل ما فعلت الأخت الفاضله .. واللهم اشفي كل مريض اللهم أمين 🙏
👍25❤19🙏7🕊2🥰1
Showing the 12 most recent of 107 posts we hold for @Sihatkom1. 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.
Posts edited after publishing
@Sihatkom1 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
19 August 2026
Most recent edit
24 September 2026
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
محبين أهل البيت @mansor73 · 27,141 Telegram ranks this channel #9 of 65 here — alongside 64 others — read 11 September 2026
افكار مدهشة @afkaaaeear · 22,814 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 19 September 2026
تجارب الشفاء بمادة الكيروسين @kerosine2020 · 35,834 Telegram ranks this channel #14 of 81 here — alongside 80 others — read 4 September 2026
أجمل مناظر حول العالم😍 @mnatrholdff · 27,456 Telegram ranks this channel #19 of 81 here — alongside 80 others — read 10 September 2026
منوعات مضحكة @hhhhgdas · 35,110 Telegram ranks this channel #25 of 77 here — alongside 76 others — read 2 September 2026
تعلم الإنجليـزية✨ @Eng8u · 109,201 Telegram ranks this channel #39 of 88 here — alongside 87 others — read 14 August 2026
كورسات _ courses @Free5courses · 25,057 Telegram ranks this channel #44 of 78 here — alongside 77 others — read 14 September 2026
Prep 1 | Science | Mr.Ahmed ElBasha @Elbashasci · 24,921 Telegram ranks this channel #45 of 82 here — alongside 81 others — read 15 September 2026
This channel appears in 8 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 30 September 2026 — this
entry's latest reading, not the date you are reading this.
“نصائح طبيه.. صحتك” (@Sihatkom1), 32,889 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/Sihatkom1.
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.