8 measurements spanning 7 days, net -34. 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 17,141–17,187 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 17:06
17,147
+1
11 Aug 2026, 17:15
17,146
-11
10 Aug 2026, 16:53
17,157
-14
9 Aug 2026, 14:16
17,171
-3
8 Aug 2026, 16:01
17,174
+5
7 Aug 2026, 13:32
17,169
-13
6 Aug 2026, 13:22
17,182
+1
6 Aug 2026, 02:47
17,181
first reading
Engagement
136 posts held, back to 5 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 24 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
1.18%
avg views ÷ 17,147 subscribers
Avg views / post
203
136 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
136
of 136 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 13 August 2026
Posts held
136 (5 August 2026 – 13 August 2026)
Views total
27,546
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 01:48 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
Photos
≈33,600
Videos
≈4,860
Links
≈4,380
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
9m 39s
Average length
45s
Measured directly from 13 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.
@deltang_karbala_tabadol
#تقویم_نجومی_اسلامی👆
#ذکرروزانهوتقویم👆کلیک کنید☝️
@deltang_karbala_tabadol
#تقویم_نجومی_اسلامی👆
#ذکرروزانهوتقویم👆هرروز صبح تعقیبات روزانه
هم اکنون اعمال روز پنجشنبه وزیارت عاشورا را اینجا بخونید زودپاک میشه وروز بعد براهمون روز زده میشه
#ساعاتقمردرعقربسال۱۴۰۵ درکانال ریپلای شده وجدول کامل ۱۴۰۵ درعکس کانال هست
#تاآخرینروزاسفنداینجاس
#التماسدعا
ساعات قمردرعقرب سال۱۴۰۵👇👇
@deltang_karbala_…
#پوسـتترومثـلبچــههاکـن
#ماسـکلایـهبردارودرخشــانکننــدهپوسـت
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
❍ بعد اجازه دهید ترکیب 15 دقیقه روی پوست بماند و در آخر بشویید و مرطوب کننده بزنید (مناسب پوست خشک نمیباشد) شکر به عنوان یک لایه بردار و نابود کننده پوست مرده عمل میکند و آبلیمو بخاطر ویتامینه پوست را سفید و درخشان و زیبا میکند.
👉 @salembem🦋🦋طب گیاهی شفا
#پوسـتترومثـلبچــههاکـن
#ماسـکلایـهبردارودرخشــانکننــدهپوسـت
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
❍ برای تهیه این اسکراب جادویی فقط به یک لیمو ترش و مقداری شکرا نیاز دارید به این صورت که لیموترش را برش بزنید و بعد مقداری شکر روی آن بپاشید و به آرامی به مدت دو الی سه دقیقه روی پوست ماساژ دهید...
👉 @salembem🦋🦋طب گیاهی شفا
#پوسـتترومثـلبچــههاکـن
#ماسـکلایـهبردارودرخشــانکننــدهپوسـت
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
❍ داشتن پوستی مثل کودکان خیلی سخت نیست فقط کافیه هر هفته یکبار از این ماسک جادویی استفاده کنید تا با لایه برداری همیشه پوستی | روشن ، شفاف و درخشان مثل بچه ها داشته باشید. البته اول پست رو ذخیره کنید که روش تهیه رو فراموش نکنید...
روش تهیه صفحه بعد
👉 @salembem🦋🦋طب گیاهی شفا
#کبـــــدچـربرو
#میشـــــهدرمـانکـرد؟
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
❍افرادی که بیشتر در معرض کبد چرب هستند:
•افراد چاق
• افرادی که کاهش وزن ناگهانی دارند
• افراد سیگاری و الکلی
• افرادی که بی خوابی شبانه دارند
• افرادی که خیلی فکر می کنند
👉 @salembem🦋🦋طب گیاهی شفا
ادامه دارد۰۰
#کبـــــدچـربرو
#میشـــــهدرمـانکـرد؟
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
❍طب سنتی، مزاج طبیعی کبد را گرم و مرطوب دانسته و دلیل ناراحتی های کبد را انحراف از این مزاج می داند. عادات غلطی مثل برهم خوری، مصرف زیاد شیرینی و نوشابه، نوشیدن آب سرد بلافاصله پس از غذای گرم و مصرف بیش از حد گوشت قرمز میتواند در کبد چرب موثر باشد...
👉 @salembem🦋🦋طب گیاهی شفا
#کبـــــدچـربرو
#میشـــــهدرمـانکـرد؟
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
• کسانی که کم راه می روند
• افرادی که شاد نیستند و نمی خندند
• آنهایی که غذای سنگین می خورند
• اشخاصی که همراه غذا آب فراوان
می خورند
• افرادی که در طول روز آب کم می خورند
• افرادی که آب یخ زیاد می خورند
• افرادی که آب جوش کم می خورند
👉 @salembem🦋🦋طب گیاهی شفا
#کبـــــدچـربرو
#میشـــــهدرمـانکـرد؟
•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·•·
❍کبد عضوی حیاتی در بدن است که وظیفه جذب مواد لازم و دفع مواد زائد را به عهده دارد. انباشته شدن چربی دراین عضو به علت عادات ناسالم در رژیم غذایی یا عوامل ژنی، به مرور زمان باعث ابتلا به کبد چرب می شود.
👉 @salembem🦋🦋طب گیاهی شفا
👇 تقویم نجومی اسلامی پنجشنبه👇
✴️ پنجشنبه 👈22 مرداد / اسد 1405
👈29 صفر 1448👈13 اوت 2026
🕋 مناسب های دینی و اسلامی.
☢ روز اول ماه آب رومی:
این ماه سی یک روز است در این ماه بادهای شمال شروع به وزیدن میکند همچنین بادهای سموم نیز در آن تشدید میشود. در شب ها زکام به اوج میرسد. در این ماه مزاج با خوردن غذاهای مرطوب سالم گردد. خوردن ماست نافع است. از مجامعت کردن زیاد باید پرهیز شود بدن را نباید با حرکات زیاد و ورزش سنگین به…
Showing the 12 most recent of 136 posts we hold for @salembem. 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
@salembem edited 3 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
7 August 2026
Most recent edit
10 August 2026
Citation-graph rank
Citation-graph rank — 69,663 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 170 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
4
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
4
vacant every time we have ever looked
@salembem named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@ayedoaa named in 1 post, 13 August 2026 – 13 August 2026
@moharm named in 1 post, 10 August 2026 – 10 August 2026
@ayezekr named in 1 post, 9 August 2026 – 9 August 2026
@doayekhas named in 1 post, 9 August 2026 – 9 August 2026
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.
“درمانگاه طب اسلامی گیاهی شفا” (@salembem), 17,147 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/salembem.
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.
