Politics & activism — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
16 measurements spanning 53 days, net +30. 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 2,002–2,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Sept 2026, 16:36
2,042
+7
18 Sept 2026, 15:59
2,035
+1
14 Sept 2026, 14:59
2,034
+7
10 Sept 2026, 23:39
2,027
-6
5 Sept 2026, 15:17
2,033
+1
1 Sept 2026, 22:18
2,032
+3
29 Aug 2026, 20:34
2,029
+2
26 Aug 2026, 15:47
2,027
+2
23 Aug 2026, 22:34
2,025
+9
20 Aug 2026, 06:35
2,016
+1
17 Aug 2026, 10:53
2,015
+8
14 Aug 2026, 00:45
2,007
-3
10 Aug 2026, 20:21
2,010
-6
7 Aug 2026, 23:20
2,016
+4
7 Aug 2026, 04:16
2,012
no change
7 Aug 2026, 04:06
2,012
first reading
Engagement
20 posts held, back to 31 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
23s
Average length
12s
Measured directly from 2 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
368 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 66.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
245
66.6%
😢
46
12.5%
👍
30
8.15%
💔
18
4.89%
👏
16
4.35%
😭
6
1.63%
🥰
5
1.36%
😱
1
0.272%
🤩
1
0.272%
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 20 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 368 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 May 2026 to 3 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.
آیا هوش مصنوعی فرصتهای شغلی جوانان را تهدید میکند؟
شاید این یکی از مهمترین پرسشهایی باشد که امروز ذهن بسیاری از جوانان را به خود مشغول ساخته است.
به باور من، پاسخ این است: بلی... اما نه به آن شیوهای که بسیاری تصور میکنند.
هوش مصنوعی انسان را صرفاً به دلیل انسان بودنش تهدید نمیکند؛ بلکه مشاغل و کارهایی را تهدید میکند که بر تکرار استوارند و ماشین میتواند آنها را سریعتر و با هزینهای کمتر انجام دهد.
نوشتن…
در ماجرای حجاب،
فکر میکنند اسلام خیاط است
و لباس میدوزد و زنان مسلمان را مجبور به پوشیدنش میکند؛ اما نمیدانند که اسلام ادب است،
اخلاق میدوزد و زنان مسلمان پارچهای را متناسب با اخلاقشان انتخاب میکنند.
— ادهم شرقاوی
@Danesh_786
در جستجوی فردا✨
مسیر دستیابی به فرصتهای تحصیلی بینالمللی
آیا میخواهید بدانید چگونه میتوان برای بورسیهها و دانشگاههای معتبر جهان آماده شد؟
در این وبینار، از تجربههای واقعی، مسیرهای عملی و نکتههای کمتر گفتهشده برای رسیدن به فرصتهای تحصیلی بینالمللی خواهید شنید.
🎙 با ارائه: محمد قاسم میرزایی
- پژوهشگر در شهرداری لیدز، بریتانیا
- دریافتکنندهٔ بورسیهٔ معتبر Chevening (بریتانیا)
📅 زمان برگزاری: سهشنبه، ۲۳…
یک دالر، قرار داد ۹۹ ساله
بگذارید توضیح بدهم:
گیدون سعار وزیر خارجهٔ رژیم اشغالگر صهیونیستی، بهمراه مایک هاکبی سفیر دولت خونآشام ایالات متحدهٔ آمریکا را مشاهده میکنید که قرارداد اختصاص یک قسمت از اراضی فلسطین اشغالی در سرزمین قدس اشغالی برای احداث سفارت دولت آمریکا در قدس را در بدل مبلغ 1 یک دالر آمریکایی بطور نمادین، برای مدت 99 سال انجام میدهند.
یعنی در بدل یک دالر، قسمتی از خاک فلسطین برای 99 سال به آمریکا …
امشب ساعت ۸:۰۰ شام به وقت افغانستان منتظر حضور همه همراهان گرامی هستیم!
وبینار ویژه: «توقف خطرناک
بسندگی علمی و بی تفاوتی در اصلاح خودی»
با ارائه: دکتور جلیل احمد پویا
- دکترای برنامهریزی شهری از ایران
- معاون امور محصلان پوهنتون غالب
لینک وبینار:
https://meet.google.com/atg-nygb-tsg
📌 نوت: لینک ۱۵ دقیقه قبل از شروع وبینار فعال میگردد.
لینک کانال تلگرام تهذیب:
https://t.me/tahzib_organization
🚨 توقف خطرناک
بسندگی علمی و بی تفاوتی در اصلاح خودی
آیا مدرک و دانستههای ما واقعاً به فهم و رشد منجر شدهاند، یا در دام «بسندگی علمی» گرفتار شدهایم؟
در این وبینار، دربارهٔ علل توقف یادگیری، عادت به حداقلها و فاصله میان مدرک و فهم گفتوگو خواهیم کرد.
🎙 با ارائه: دکتور جلیل احمد پویا
- دکترای برنامهریزی شهری از کشور ایران
- معاون امور محصلان پوهنتون غالب
📅 زمان برگزاری:
چهارشنبه، ۳ سرطان
⏰ ساعت ۸ الی ۹ شب
نوت…
دوستان گرامی و اهل علم!
برای تکمیل بخش میدانی یک مقاله علمی با عنوان: «حضور قرآنی رسائل نور در ساختار آگاهی ایمانی و اخلاقی جوانان افغانستان» نیازمند همکاری علمی شما هستم.
این پرسشنامه با هدف بررسی نقش رسائل نورِ بدیعالزمان سعید نورسی در تقویت آگاهی ایمانی، اخلاقی، اجتماعی و تمدنی جوانان افغانستان تهیه شده است. خانهپری این فرم تنها چند دقیقه وقت میگیرد، اما پاسخهای شما در غنامندی این پژوهش و دقیقتر شدن نتایج آ…
سلام
فردی در بخش سوختگی شفاخانه حوزوی فردا عملیات میشود و به گروپ خونی o- یا AB- یا A- ضرورت دارد.
سبقت جویندگان در خیر که واجد شرایط اند به این شماره تماس بگیرند و هماهنگ کنند.
+93795131928
Showing the 12 most recent of 20 posts we hold for @Danesh_786. 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.
heratstudents @jobsHerat · 1,052 Telegram ranks this channel #12 of 73 here — alongside 72 others — read 23 August 2026
کاریابی اکبر جاب Akbar job @akbar_jab · 24,496 Telegram ranks this channel #17 of 70 here — alongside 69 others — read 16 September 2026
کاریابی هرات درخشان @Heratderakhshanplacement · 24,428 Telegram ranks this channel #23 of 70 here — alongside 69 others — read 16 September 2026
کاریابی اکبر - ACBAR-Herat @seekingyourjobs · 28,927 Telegram ranks this channel #23 of 74 here — alongside 73 others — read 9 September 2026
کریکولم طب معالجوی @MedicineCurriculum · 23,893 Telegram ranks this channel #29 of 80 here — alongside 79 others — read 17 September 2026
نوستالژی @Nostalzhi · 22,666 Telegram ranks this channel #30 of 62 here — alongside 61 others — read 20 September 2026
هرات آنلاین @online_Herat · 23,581 Telegram ranks this channel #43 of 75 here — alongside 74 others — read 18 September 2026
گنجینه های طبی📔👨⚕️📚 @Gangenahitebi · 24,587 Telegram ranks this channel #49 of 86 here — alongside 85 others — read 19 September 2026
تومن به افغانی @Toman_to_Afghani · 29,755 Telegram ranks this channel #57 of 71 here — alongside 70 others — read 8 September 2026
Scholarship for Afghanistan بورسیه های تحصیلی برای افغانستان @scholarships4af · 68,696 Telegram ranks this channel #58 of 78 here — alongside 77 others — read 21 August 2026
This channel appears in 10 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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“دانشگاهیان هرات” (@Danesh_786), 2,042 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/Danesh_786.
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.