Film & TV — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 38% 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
4 measurements spanning 19 days, net +476. 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 356–974 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 01:57
903
+347
8 Sept 2026, 10:18
556
+129
29 Aug 2026, 04:45
427
no change
29 Aug 2026, 02:45
427
first reading
Engagement
16 posts held, back to 26 November 2025 — 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.
ERR · 30 days
61.1%
avg views ÷ 903 subscribers
Avg views / post
552
1 post measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 26 August 2026
Posts held
16 (26 November 2025 – 26 August 2026)
Views total
552
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 02:45 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
56 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 71.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
40
71.4%
👏
7
12.5%
👍
3
5.36%
😢
3
5.36%
👌
2
3.57%
❤🔥
1
1.79%
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 12 of the 16 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 November 2025 to 26 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.
«رادیکال میم» پادکست اجرای صوتی نمایشنامههاست؛ نه یک روخوانی ساده، بلکه تجربهای نزدیک به یک اجرای زنده.
در اپیزودهای رادیکال میم میتوانید آثاری از :
▪️آنتوان چخوف
▪️اریک امانوئل اشمیت
▪️بهرام بیضایی
▪️عباس معروفی
و دیگر نمایشنامهنویسان مطرح ایرانی و خارجی را بشنوید.
🎧 شنیدن همه اپیزودهای رادیکال میم در کست باکس 👇
https://castbox.fm/vc/6917272
اپیزود نهم رادیکال میم ، نمایشنامه " خدای کشتار " اثر یاسمینا رضا، منتشر شد . این اپیزود را می توانید در کست باکس، اپل پادکست و اسپاتیفای گوش کنید.
لینک این اپیزود در کست باکس :
https://castbox.fm/vd/986403814
اپیزود هشتم رادیکال میم ، نمایشنامه " نوای اسرارآمیز" اثر اریک امانوئل اشمیت، منتشر شد . این اپیزود را می توانید در کست باکس، اپل پادکست و اسپاتیفای گوش کنید.
لینک این اپیزود در کست باکس :
https://castbox.fm/vd/973228308
اپیزود هفتم رادیکال میم ، نمایشنامه " نورگیر" اثر دیوید هر ، منتشر شد . این اپیزود را می توانید در کست باکس، اپل پادکست و اسپاتیفای گوش کنید.
لینک این اپیزود در کست باکس :
https://castbox.fm/vd/957808792
اپیزود ششم رادیکال میم ، نمایشنامه " گفتگوی شبانه" اثر فردریش دورنمات ، منتشر شد . این اپیزود را می توانید در کست باکس، اپل پادکست و اسپاتیفای گوش کنید.
لینک این اپیزود در کست باکس :
https://castbox.fm/vd/946115248
تئاتر و نمایش فقط دیدنی نیست ، "شنیدنی" هم هست !
اپیزود پنجم رادیکال میم ، نمایشنامه " آقای اشمیت کیه ؟ " اثر سباستین تیری ، منتشر شد . این اپیزود را می توانید در کست باکس، اپل پادکست و اسپاتیفای گوش کنید.
لینک این اپیزود در کست باکس :
https://castbox.fm/vd/905870384
اپیزود چهارم رادیکال میم منتشر شد . در این اپیزود نمایشنامه " آونگ خاطره های ما " اثر عباس معروفی را به صورت نمایشنامه خوانی و اجرای صوتی خواهید شنید . شما می توانید این اپیزود را در کست باکس ، اپل پادکست یا اسپاتیفای گوش کنید .
لینک کست باکس این اپیزود :
https://castbox.fm/vd/900642983
اپیزود سوم رادیکال میم منتشر شد . در این اپیزود نمایشنامه " آرش " اثر استاد بهرام بیضایی را به صورت نمایشنامه خوانی و اجرای صوتی خواهید شنید . شما می توانید این اپیزود را در کست باکس ، اپل پادکست یا اسپاتیفای گوش کنید .
لینک کست باکس این اپیزود :
https://castbox.fm/vd/889846373
متاسفانه استاد بهرام بیضایی در ۸۷ سالگی از دنیا رفتند
با غم بسیار دارم این پست را منتشر میکنم ، اپیزود بعدی ما نمایشنامه “آرش” از ایشان بود و در این روزها بیشتر از همیشه در حال و هوای آثار بی نظیر استاد بیضایی بودیم . تلخی این خبر ،شیرینی کار کردن روی این اپیزود را برایمان زهر کرد .
یادشان گرامی 🖤
اپیزود دوم رادیکال میم منتشر شد . نمایشنامه " خرده جنایتهای زن و شوهری " نوشته ی اریک امانوئل اشمیت .
این اپیزود را می توانید در کست باکس ، اپل پادکست یا اسپاتیفای گوش کنید .
لینک کست باکس این اپیزود :
https://castbox.fm/vd/886223571
پادکست رادیکال میم را می توانید در پادگیرهای مختلف گوش کنید
https://castbox.fm/vc/6917272
❤3👏2
Showing the 12 most recent of 16 posts we hold for @radicalmimpodcast. 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.
Mentions
Named by 1 registered channel — 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“پادکست رادیکال میم” (@radicalmimpodcast), 903 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/radicalmimpodcast.
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.