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Channel

بنیاد جهانی سبک زندگی سالم

@proffessorkarami

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,785subscribers

-6 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001063680045
TypeChannel
Username@proffessorkarami
CreatedBetween 1 May 2016 and 28 February 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/proffessorkarami

Growth

4,7854,7944,789.55 August 2026 — 4,791 subscribers6 August 2026 — 4,791 subscribers13 August 2026 — 4,792 subscribers16 August 2026 — 4,794 subscribers19 August 2026 — 4,790 subscribers23 August 2026 — 4,788 subscribers25 August 2026 — 4,785 subscribers5 August 202625 August 2026
7 measurements spanning 20 days, net -6. 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 4,784–4,795 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 19:424,785-3
23 Aug 2026, 06:074,788-2
19 Aug 2026, 14:374,790-4
16 Aug 2026, 17:454,794+2
13 Aug 2026, 01:164,792+1
6 Aug 2026, 03:504,791no change
5 Aug 2026, 23:484,791first reading

Engagement

37 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.53%
avg views ÷ 4,785 subscribers
Avg views / post
121
37 posts measured
Reaction rate
3.00%
reactions ÷ views · ER floor
Posts in window
37
of 37 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. It is computed over the 20 of 37 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held37 (30 July 202610 August 2026)
Views total4,473
Reactions total77
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:19 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
2m 55s
Average length
2m 55s

Measured directly from 1 video 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

62 reactions across 15 posts, in 2 distinct kinds. The most used accounts for 62.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3962.9%
2337.1%

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 20 of the 37 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 77reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 30 July 2026 to 10 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.

Recent posts

10 Aug 2026, 20:52 UTC116 views5 reactionsread 12 August 2026
Photo

اگر سیستم ایمنی بدن قوی باشد بیمار نمی شوید ااینفوگرافی راز طلایی تقویت سیستم ایمنی انجام بده تا سالم بمانی

3👍2

10 Aug 2026, 05:08 UTC110 views4 reactionsread 12 August 2026
Photo

دانشمندان یک سلول سنتز شده، با نام «SpudCell» که می‌تواند تا حدودی رشد کند: برخلاف آزمایش‌های قبلی مبتنی بر سلول‌های باکتریایی موجود اما اصلاح‌شده، تحقیقات جدید به رهبری محققان دانشگاه مینه‌سوتا این سلول را با استفاده از «فقط اجزای شیمیایی غیرزنده» توسعه داده است. این تیم به رهبری کیت آدامالا، زیست‌شناس مصنوعی و استاد دانشگاه مینه‌سوتا، اظهار داشت که این پیشرفت بیولوژیکی قابل توجه است و «عصری از ارگانیسم‌های سفا

👍31

10 Aug 2026, 05:08 UTC187 views5 reactionsread 12 August 2026
Photo

نسل و شجره انسان توسط مادر استمرار پیدا می کند هنگام تشکیل یک جنین ۲۳ کرموزوم از پدر در سلول اسپرم و ۲۳ کرموزوم توسط مادر در تخمک با هم ترکیب و سلول تخم تشکیل می شود. اما مادران علاوه بر آن ۲۳ کرموزوم یک عنصر ژنتیکی بسیار مهم که در داخل میتوکوندری قرار دارد را منتقل می کنند که نقش حیاتی در تولید انرژی و زندگی انسان دارد و از طریق DNA میتوکوندری؛ شجره نامه و تاریخ نسل انسان تا حضرت ادم و حوا ردیابی و شناسایی شده است

4👍1

9 Aug 2026, 04:39 UTC97 viewsread 12 August 2026

ساخت اولین ویروس‌های جدید توسط هوش مصنوعی: دانشمندان دانشگاه استانفورد با هوش مصنوعی انواع مختلف باکتریوفاژ یا ویروس های خاص باکتری‌ها را ساختند و از آنها را علیه ای کولای مقاوم به آنتی بیوتیک مورد آزمایش قرار دادند که آنها را از بین برد. محققان در مجله Science نوشتند که توانایی «طراحی سریع» ژنوم‌ ویروس ها و تنظیم آنها برای باکتری‌های خاص و در عین حال غلبه بر مقاومت آنتی بیوتیکی می‌تواند «فاژدرمانی بیماری های عفون

9 Aug 2026, 04:17 UTC95 views6 reactionsread 12 August 2026
Video

به سخنان این خانم دکتر پزشک متخصص طب سنتی توجه کنید: گروهی بی اطلاع و شیاد در فضای مجازی که فقط برای دیده شدن با مطالب اشتباه‌ و مزخرفات خود با سلامت مردم بازی می کنند در صفحات این افراد عضو نشوید درصفحات معتبر عضو شوید و هر چیزی را باور نکنید

👍42

9 Aug 2026, 04:13 UTC84 views1 reactionsread 12 August 2026
Photo

مراقب بیماری خطرناک تب مالت یا بروسلوز باشید

👍1

7 Aug 2026, 14:40 UTC122 views1 reactionsread 12 August 2026

کارگاه آموزشی بین المللی: آماده‌سازی برای آینده زیست‌شناسی مبتنی بر هوش مصنوعی و تهدیدات زیستی هوش مصنوعی در حال متحول کردن علوم زیستی است؛ از نحوه مطالعه زیست‌شناسی توسط محققان گرفته تا توسعه واکسن‌ها و درمان‌ها و تشخیص شیوع بیماری‌ها. اگرچه این پیشرفت‌ها می‌توانند سلامت عمومی و آمادگی در برابر بیماری‌ها را بهبود بخشند، اما سوالات مهمی را نیز درباره ایمنی، امنیت و احتمال سوء استفاده ها مطرح می‌کنند. به منظور در

1

Showing the 12 most recent of 37 posts we hold for @proffessorkarami. 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.

Citation-graph rank

Citation-graph rank — 123,829 of 1,620,105entries 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

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 3 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.

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 25 August 2026 — this entry's latest reading, not the date you are reading this.

“بنیاد جهانی سبک زندگی سالم” (@proffessorkarami), 4,785 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/proffessorkarami.

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.