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Telegram profile photo for شارم دانش

Channel

شارم دانش

@ShaarmDanesh

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

329subscribers

-2 since we began measuring on 8 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001116071370
TypeChannel
Username@ShaarmDanesh
CreatedBetween 1 February 2017 and 31 October 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 September 2026
Last confirmed live11 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/ShaarmDanesh

Growth

3293313308 September 2026 — 331 subscribers9 September 2026 — 331 subscribers11 September 2026 — 329 subscribers8 September 202611 September 2026
3 measurements spanning 3 days, net -2. 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 329–331 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 13:17329-2
9 Sept 2026, 00:22331no change
8 Sept 2026, 23:47331first reading

Engagement

20 posts held, back to 2 February 2026the 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.

ERR · 30 days
32.4%
avg views ÷ 329 subscribers
Avg views / post
107
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 20 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
WindowRolling 30 days · latest post in window 15 August 2026
Posts held20 (2 February 202615 August 2026)
Views total533
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 00:22 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
27s
Average length
27s

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.

Recent posts

15 Aug 2026, 21:33 UTC132 viewsread 9 September 2026

🟦 فرصت همکاری با بلو 🟦 Senior Application Security Engineer ◀️ بلو یک بانک دیجیتال است که تجربه‌ای راحت از خدمات بانکی را بدون نیاز به انجام فرآیندهای سخت و پیچیده فراهم می‌کند. ◀️مسئولیت‌ها ●طراحی و توسعه سیاست‌ها، استانداردها و فرآیندهای امنیت نرم‌افزار مطابق با استانداردهای بین‌المللی (مانندOWASP ASVS، PCI-DSS، OWASP SAMM) ● همکاری با تیم‌های توسعه برای ادغام الزامات امنیتی در مراحل مختلف SSDLC و پایش مداوم ت

15 Aug 2026, 21:30 UTC117 viewsread 9 September 2026

💼 ۲۰ ریپازیتوری گیت‌هاب برای کمک به استخدام شما ۱. coding-interview-university https://github.com/jwasham/coding-interview-university یک نقشه راه کامل برای مطالعه خودآموز که در ابتدا برای آماده‌سازی مصاحبه‌های مهندسی نرم‌افزار گوگل ایجاد شد. ۲. awesome-interview-questions https://github.com/DopplerHQ/awesome-interview-questions یک مجموعه منتخب از سوالات مصاحبه فنی در چندین زبان برنامه‌نویسی و تکنولوژی. ۳. system-de

15 Aug 2026, 21:29 UTC88 viewsread 9 September 2026

◀️ عنوان موقعیت شغلی مدرس آنلاین دروس تخصصی رشته کامپیوتر (کنکور هنرستان) ● بخش معرفی کسب‌وکار ◀️ نام کسب‌وکار آکادمی مشاوره تحصیلی لوتوس 🪷 ◀️ نوع و زمینه فعالیت آموزش، مشاوره تحصیلی و آمادگی کنکور هنرستان ◀️ معرفی کلی آکادمی مشاوره تحصیلی لوتوس یک مجموعه تخصصی در حوزه آموزش و مشاوره کنکور هنرستان است که با ارائه آموزش‌های باکیفیت، برنامه‌ریزی تحصیلی و تولید محتوای آموزشی، هنرجویان سراسر کشور را در مسیر موفقیت

14 Aug 2026, 14:34 UTC101 viewsread 9 September 2026
Forwarded from @hashtagads_viewPhoto

▶️ وبینار رایگان دنیای دیتا ساینس؛ 🐈‍⬛📊 از یادگیری ماشین تا محصولات هوشمند و بازار کار ⌨️ 💼 💡 فکر می‌کنید دیتا ساینس فقط ساخت مدل‌های پیش‌بینی است؟ ✅ اگر بخواهیم وارد دنیای دیتا ساینس شویم، از کجا باید شروع کنیم و چه مهارت‌هایی لازم است؟ 🎯 در این وبینار کوتاه می‌بینید: 🔵 #دیتا_ساینس چیست و در دنیای واقعی چه کاربردهایی دارد؟ 🔵 یک Data Product چیست و چه تفاوتی با یک مدل #Machine_Learning دارد؟ 🔵 شرکت‌ها چگونه از

14 Aug 2026, 14:30 UTC95 viewsread 9 September 2026

....🖇 📚 یک تکه کتاب با آنکه چند هزار سال است که بشر مشغول آزمایش و محاسبه است، هنوز «فرمولِ» خاصّی برای خوشبختی پیدا نکرده است. کم و بیش هر کسی در این شعرِ "تاگور" زبانِ حالِ خود را می‌یابد: «آن را می‌جویم که نمی‌توانم یافت، آن را می‌یابم که نمی‌جویم». 📚 بازتاب‌ ها 👤 دکترمحمد‌علی_اسلامی‌_ندوشن

5 Jun 2026, 07:40 UTC370 viewsread 9 September 2026

یه افسانه ژاپنی هست که میگه: "اگر به اتوبوس نرسیدی، شاید از یک تصادف جا موندی اگر پذیرفته نشدی، شاید از جایی اشتباه نجات پیدا کردی اگر کسی ترکت کرد، شاید داره جا رو برای کسی که قراره وارد زندگیت بشه باز میکنه." گاهی جهان پشت چیزی که اول شبیه بدشانسیه داره ازت محافظت میکنه به مسیرهای غیر منتظره اعتماد کن.

30 May 2026, 20:02 UTC407 viewsread 9 September 2026

امیدوارم همه عزیزان در صحت و سلامت باشید 🌺

13 Apr 2026, 10:44 UTC453 viewsread 9 September 2026

فیلسوف کسی است که می داند تا چه اندازه نادان است، و این نادانی او را آزار میدهد. بدین ترتیب وی هنوز داناتر از همه آن کسانی است که درباره دانش خود از چیزهایی که نمی دانند لاف می زنند. یوستین_گردر کتاب: دنیای سوفی

Showing the 12 most recent of 20 posts we hold for @ShaarmDanesh. 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.

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.

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.

اخبار یادگار در کانال افق
@OFOGH_1395 · 29,007
Telegram ranks this channel #20 of 84 here — alongside 83 others — read 8 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“شارم دانش” (@ShaarmDanesh), 329 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/ShaarmDanesh.

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.