Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
7,660 average views per post against 4,221 subscribers — an engagement rate of 181.4%. Across the 12,155 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Persian — the middle half sit between 5.73% and 23.7%, with a median of 12.3%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
8 of 9 published in the window (2 exact, 6 rounded by Telegram)
Views totalled
61,241
Mature posts only
181.4% over 8 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 6 days, net -8. 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 4,220–4,230 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 08:35
4,221
-2
9 Aug 2026, 16:25
4,223
-6
6 Aug 2026, 04:06
4,229
no change
6 Aug 2026, 02:37
4,229
first reading
Engagement
21 posts held, back to 24 January 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 5 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
181.4%
avg views ÷ 4,221 subscribers
Avg views / post
7,660
8 posts measured
Reaction rate
0.413%
reactions ÷ views · ER floor
Posts in window
9
of 21 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 6 August 2026
Posts held
21 (24 January 2026 – 6 August 2026)
Views total
61,241
Reactions total
253
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 12:02 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.
Reaction mix
872 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 58.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
507
58.1%
💔
194
22.2%
👍
82
9.40%
👏
33
3.78%
🔥
24
2.75%
🕊
14
1.61%
😍
9
1.03%
🤝
5
0.573%
💯
4
0.459%
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 18 of the 21 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 995reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 24 January 2026 to 6 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.
گروه مطالعات تاریخ فلسفۀ خانۀ حکمت برگزار میکند:
دورۀ آموزشی «آشنایی با افلاطون»
دورهٔ سوم: مروری بر دیالوگهای ضیافت، فایدروس، لوسیس، پروتاگوراس
👤 ارائهدهنده: دکتر حامد ناجی؛ عضو هیئت علمی گروه فلسفه دانشگاه اصفهان
📆 دوشنبهها و سهشنبهها، ساعت ۱۷:۳۰
شروع دوره: ۱۹ مردادماه ۱۴۰۵
✔️ دوره بهصورت حضوری و مجازی [آنلاین و آفلاین] برگزار میشود.
شرکتکنندگان میتوانند، در صورت تمایل، فایلهای صوتی دورهٔ اول و دوم…
موسسه دیروز برگزار میکند:
یادگیری زبان آلمانی به عنوان مهارت پژوهشی
(با تمرکز بر خوانش و فهم متون علوم انسانی)
👨🏫 مدرس: وحید احمدی
• دانشآموختۀ دکتری فلسفه از دانشگاه تهران و پژوهشگر فلسفه
• از مترجمان کتاب متنهایی درباره هرمنویتیک؛ از افلاطون تا امروز
• دارای سابقۀ تدریس و برگزاری دورههای آموزش زبان آلمانی
━━━━━━━━━━━
سطح A1
📅 ۱۰ جلسه | پنجشنبهها
◽️ساعت ۱۰:۰۰ تا ۱۱:۰۰
◽️ ساعت ۱۱:۳۰ تا ۱۲:۳۰
◽️ شروع دوره:…
🔹️دفاع از پایاننامه کارشناسی ارشد
تاریخ ایران باستان
عنوان:
تاریخنگاری ایران باستان در متون فرقه آذرکیوانی
👤 نگارنده: افسانه حنائی
🎓 استاد راهنما: دکتر روزبه زرینکوب
🎓 استاد مشاور: دکتر کریم نجفی برزگر
استادان داور:
دکتر منصور صفتگل
دکتر فرزانه گشتاسب
📅 زمان: یکشنبه ۱۱ مرداد ۱۴۰۵، ساعت ۱۱:۰۰
📍 مکان: دانشگاه تهران، دانشکده ادبیات و علوم انسانی، تالار استاد محمد ابراهیم باستانی پاریزی
کانون جهان ایرانی دانش…
«نور، حقیقتی است که خود آشکار است و دیگران را آشکار میسازد.»
— شیخ شهابالدین سهروردی
شیخ شهابالدین سهروردی، بنیانگذار حکمت اشراق، از برجستهترین فیلسوفان تاریخ ایران است؛ اندیشمندی که با تلفیق برهان، شهود و میراث حکمی ایران، افقی نو در فلسفه اسلامی گشود و آثارش تا امروز الهامبخش پژوهشهای فلسفی است.
🔹️کانون جهان ایرانی دانشگاه تهران به مناسبت روز بزرگداشت شیخ اشراق برگزار میکند:
🔹 سلسلهنشستهای بزرگداشت شی…
📣 فراخوان شمارهی چهارم «خِرَدنامه»
🏛 انجمن علمی-دانشجویی فلسفهی دانشگاه تهران، در نظر دارد که تهیه و جمعآوری مطلب جهت آمادهسازی شمارهی چهارم نشریهی «خِرَدنامه» را آغاز نماید.
🔸 باب علمی این شماره، چهار بخش خواهد داشت:
🌸 پروندهی اصلی: «فلسفهی سیاست»
🌸 پروندهی ویژه: «فلسفهی جنگ»
🌸 تکنگاری-تکترجمه
🌸 جستارهای دانشجویی
🔹 در سه بخش نخست باب علمی، تنها مقالات قرار خواهند گرفت؛ این مقالات میتوانند تألیفی یا…
پژوهشکده اسناد سازمان اسناد و کتابخانه ملی ایران برگزار میکند:
💢نشست نقد و بررسی کتاب اقلیم مورخان
سخنرانان:
▫️دکتر حسن حضرتی،
نویسندۀ کتاب و عضو هیئت علمی دانشگاه تهران
▫️دکتر روزبه زرینکوب،
عضو هیئت علمی دانشگاه تهران
▫️دکتر آرش حیدری،
عضو هیئت علمی دانشگاه علموفرهنگ
▫️دکتر علیرضا ملاییتوانی،
عضو هیئت علمی پژوهشگاه علوم انسانی و رئیس پژوهشکدۀ اسناد
⏳️زمان برگزاری: دوشنبه ۵ مردادماه ۱۴۰۴ ساعت ۱۰-۱۲
📍مکا…
🔹️به نام ایران
برخی نامها با یک مسئولیت شناخته نمیشوند؛ با اثری که از خود به جا میگذارند، ماندگار میشوند.
امروز که افتخار دبیری کانون جهان ایرانی دانشگاه تهران را یافتهام، بر خود واجب میدانم از سرکار خانم افسانه حنائی، بنیانگذار کانون، سپاسگزاری کنم.
در این سالها از نزدیک شاهد بودهام که «جهان ایرانی» برای ایشان تنها یک تشکل دانشجویی نبود؛ بخشی از زندگی، اندیشه و دغدغهشان بود. ساعتهای بیشمار تلاش، پیگیر…
به نام ایرانمان
حدود دو سال از تأسیس کانونی میگذرد که برای من، بهمثابه فرزندی نوپا بود؛ نشستم و بالندگی آن را تماشا کردم و نظارهگر رشد آن بودم، دلکندن از فرزندی که در مسیر خدمت به ایران، همپای او بالیدم و بزرگ شدم، اصلاً کار سادهای نیست. سکوت و صبر، بزرگترین و ارزشمندترین آموخته و دستاورد کانون برای شخص من بود.
حال با گذشت نزدیک به دو سال، در شرایطی که کانون به لطف پروردگار، به جایگاه و محبوبیتی شایسته در می…
🔹️ کانون جهان ایرانی دانشگاه تهران با همکاری انجمن سرو سایهفکن برگزار میکند:
🔹️دور سوم شاهنامهخوانی
▪️ دکتر حیدر زندی
دانش آموخته زبان و ادبیات فارسی دانشگاه فردوسی و دبیر انجمن سرو سایهفکن
⏳️ زمان: یکشنبهها ساعت ۱۷
نخستین جلسه: ۲۱ تیر ماه ۱۴۰۵
📍 مکان: تهران، باغ موزه نگارستان
📎ورود برای عموم آزاد و رایگان اما نیازمند نام نویسی است. به نشانی زیر پیام دهید:
@jahaneiraniut
کانون جهان ایرانی دانشگاه تهران
@ja…
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤17👍7👏6🔥2
Showing the 12 most recent of 21 posts we hold for @jahaneirani_ut. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 21 most recent posts we hold, published 24 January 2026 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 10,206 of 1,151,006entries 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
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.
Mentions
Named by 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“کانون جهان ایرانی دانشگاه تهران” (@jahaneirani_ut), 4,221 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jahaneirani_ut.
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.