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 29 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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
5 measurements spanning 63 days, net +5. 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 54–61 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 15:59
60
+2
8 Sept 2026, 21:01
58
+1
31 Aug 2026, 14:34
57
+2
10 Aug 2026, 23:11
55
no change
10 Aug 2026, 22:45
55
first reading
Engagement
20 posts held, back to 3 July 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 1 page 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 9 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
37 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 91.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
34
91.9%
👍
1
2.70%
👏
1
2.70%
🙏
1
2.70%
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 15 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 37 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 3 July 2026 to 9 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.
با درود به دوستان
نوع جلسه نقد این هفته:
گفتگوی آزاد
موضوع:
چرا با این که ما در طول تاریخ اندیشمندان بسیار بزرگی داشتیم و همین امروز هم داریم که شاید سده ها از روزگار خود جلوتر بوده اند یا هستند؛ اینقدر عملکرد اجرایی این اندیشه ها (در طول تاریخ و همین امروز ) در سطح جامعه، غیر قابل قبول بوده و هست؟
به عبارت دیگر چرا اندیشه بزرگ اندیشمندان تاریخ ساز و جریان ساز ما، نتوانسته به ساختار جامعه خودمان ورود پید…
با درود به دوستان
جلسه نقد هفته آینده
چهارشنبه ۱۴۰۵.۰۵.۱۴
شعر درخواستی برای نقد: شمایل تهران از سلمان مولایی
متن درخواست شاعر:
سلام
و
با اجازه ی اساتید بی مانند
جسارت کرده، این شعر با عنوان شمایل تهران را برای نقد در جلسه ی آتی کافه پیشنهاد می کنم؛
دوباره چپ شده با من «مریز و کج دار» ت
دچار مرگ مدامی به نام سر درد م
نصیب خواب شب ام شد محال دیدار ت
صدا ی مِی زده ی پاسبان شب گرد م
کتاب مولوی ام در دهان آبی ح…
سلام دوستان
یه پژوهش آکادمیک رو دارم انجام میدم و برای گردآوری دادهها یه پرسشنامه طراحی شده که ازتون میخوام لطف کنین و بهش پاسخ بدین. به پاسخای همتون نیاز دارم.
شما اولین افرادی هستین که این پرسشنامه رو تکمیل میکنین امیدوارم با نتایجش به همراهی شما سهمی در پیشبرد علم داشته باشم.
لینک پرسشنامه:
https://survey.porsline.ir/s/WPY5g6Vw
ممنون از همتون.
با درود به دوستان
هفته آینده ، چهارشنبه ۳۱ تیر ماه، جلسه هفتگی نقد برگزار نمی گردد.
🍀🍀🍀🍀🍀
#کافه_ی_مجازی_نقد_نو
🍀🍀🍀🍀🍀
❤2
Signed Fariba Noori
Showing the 12 most recent of 20 posts we hold for @kafeyemajazienaghdeno. 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
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.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“کافه ی مجازی نقد نو” (@kafeyemajazienaghdeno), 60 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/kafeyemajazienaghdeno.
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.