Education — 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 12 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 the other topics.
Growth
26 measurements spanning 94 days, net +228. 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 6,768–7,096 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 11:40
7,034
-16
5 Nov 2026, 18:06
7,050
-5
2 Nov 2026, 08:55
7,055
+6
30 Oct 2026, 02:06
7,049
+3
26 Oct 2026, 20:56
7,046
-3
23 Oct 2026, 17:56
7,049
+4
20 Oct 2026, 08:16
7,045
-5
17 Oct 2026, 07:36
7,050
+1
14 Oct 2026, 15:10
7,049
-9
11 Oct 2026, 08:54
7,058
+2
4 Oct 2026, 18:41
7,056
+9
25 Sept 2026, 10:16
7,047
+3
15 Sept 2026, 01:21
7,044
+20
11 Sept 2026, 04:21
7,024
+16
5 Sept 2026, 23:21
7,008
+25
1 Sept 2026, 23:15
6,983
+20
30 Aug 2026, 01:53
6,963
+2
27 Aug 2026, 09:16
6,961
+30
24 Aug 2026, 05:23
6,931
+51
20 Aug 2026, 03:07
6,880
first reading
Engagement
28 posts held, back to 14 May 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 27 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.9%
avg views ÷ 7,034 subscribers
Avg views / post
1,960
3 posts measured
Reaction rate
0.272%
reactions ÷ views · ER floor
Posts in window
4
of 28 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 8 November 2026
Posts held
28 (14 May 2026 – 8 November 2026)
Views total
5,886
Reactions total
16
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 15:16 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
163
Videos
14
Links
178
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
150 reactions across 21 posts, in 2 distinct kinds. The most used accounts for 92.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
138
92.0%
👍
12
8.00%
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 23 of the 28 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 150 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 14 May 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🖥 وبینار رایگان: آیا DevOps بدون دخالت انسان هم میتواند کار کند؟
🤖نگاهی عملی به ساخت AI Agent برای مدیریت و اتوماسیون زیرساخت با استفاده از مدلهای هوش مصنوعی اوپن سورس
🎙ارائه دهنده : علیرضا صدرایی راد
📅 تاریخ برگزاری: ۱۹ آبان ماه ۱۴۰۵
از ساعت ۱۹ الی ۲۱
اطلاعات بیشتر در لندینگ ثبتنام رویداد👇👇👇
Abrh.ir/latestwebinar 🔗
👆👆👆
در کانال ابرها عضو شوید: ✌️
📣@abrhacom
🔴 اطلاعیه مهم
افرادی که در دوره جامع پاییزه ۲۰۲۶ سیاسفیفتی تهران ثبتنام کردهاند کافیست ۴۸ ساعت پس از ثبتنام از طریق سایت سی اس فیفتی تهران به آدرس زیر وارد پنل کاربری شوند:
🌐 CS50xTehran.ir
✅ همانطور که مطلعید دوره به صورت هیبرید برگزار میشود و جلسات دوره با کیفیت بالا به صورت استودیویی ضبط شده و در پنل کاربری قرار میگیرد. جلسات رفع اشکال به صورت آنلاین و حضوری برگزار خواهد شد و پشتیبانی آنلاین ۲۴ ساعته نیز رو…
☄️بعد از تموم کردن دوره پاییزه، چه مدارکی دریافت میکنین؟
📌 تو دوره جدید سیاسفیفتی تهران، شما بعد از تموم کردن تمامی سرفصلها و حل تمرینها، میتونین ۵ تا گواهی معتبر از CS50 هاروارد برای گذروندن دورههای مبانی علوم کامپیوتر، برنامهنویسی وب، هوش مصنوعی، پایتون و هکوامنیت دریافت کنین
🔥 تازه، با شرکت در رویداد مهارت نرممون هم، یک گواهی از دانشکده مدیریت صنعتی و فناوری دانشگاه تهران دریافت میکنین.
برای ثبتنام …
⭕️ هشتمین رویداد ماگ تهران (مارکتینگ و توسعه کسبوکار)
🔥 شبکه سازی، ارائه و گفتگوی کاری در کنار متخصصین
🎤 ارائه تجربه محور توسط مهدی شجاری
🗣️ پنل گفتگو با موضوع بکارگیری هوش مصنوعی در توسعه کسب و کارهای آنلاین با همراهی آقایان حمیدرضا نظری، لقمان آوند و حمید پورجم
👇👇👇
🔗 https://abrh.ir/latestevent 🔗
👆👆👆
در کانال ابرها عضو شوید: ✌️
📣@abrhacom
ثبتنام دوره جامع پاییزه CS50x Tehran آغاز شد!😎
پاییز امسال فقط برنامهنویسی یاد نگیرید؛ یک مسیر حرفهای و اصولی برای ورود به دنیای تکنولوژی بسازید. 💻
✔️تو این دوره، بدون نیاز به هیچ پیشزمینهای، علوم کامپیوتر و برنامهنویسی رو از پایه و بر اساس سرفصلهای بهروز دانشگاه هاروارد یاد میگیرید؛ از پایتون و طراحی وب گرفته تا هوش مصنوعی و امنیت.
🎓 مزایای شرکت در دوره:
☄️ امکان دریافت ۵ سرتیفیکیت معتبر از دانشگاه هارو…
🔖 دو روز دیگه، دومین وبینار رایگانمون برای کسایی که میخوان اطلاعات کاملی درباره دوره تابستانه CS50xTehran به دست بیارن، برگزار میشه.
اگر شما جزو این دسته از افراد هستین، حتماً تو این وبینار شرکت کنین.
واسه ثبتنام رایگان تو این وبینار، روی لینک پایین کلیک کنید:
🔗لینک ثبتنام در وبینار رایگان
📌وبینار آشنایی کامل با دورههای برنامهنویسی CS50xTehran
🔔 ما تو CS50xTehran دورههای مبانی برنامهنویسی رو برای شما برگزار میکنیم تا بتونین از پایه و بدون پیشنیاز، برنامهنویسی رو یاد بگیرین. این دوره تحت نظارت CS50 دانشگاه هاروارد برگزار میشه و بعد از اتمامش هم میتونین مدرک CS50 هاروارد رو در کنار مدرک دانشگاه تهران دریافت کنین.
تو دوره تابستانه CS50xTehran،به سراغ مبانی برنامهنویسی، برنامهنویسی پایتون، هوش…
❤3
Showing the 12 most recent of 28 posts we hold for @cs50xtehran. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
برنامه نویسی پایتون | هوش مصنوعی | دیتاساینس @persianovin_channel · 19,199 Telegram ranks this channel #39 of 90 here — alongside 89 others — read 4 October 2026
Iran Ausbildung @iranausbildung · 20,070 Telegram ranks this channel #56 of 69 here — alongside 68 others — read 30 September 2026
اخبار کانادا با پرگار @canadapargar · 20,627 Telegram ranks this channel #65 of 79 here — alongside 78 others — read 26 September 2026
This channel appears in 3 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“CS50xTehran” (@cs50xtehran), 7,034 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/cs50xtehran.
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.