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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
26 measurements spanning 33 days, net +125. 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 31,271–31,497 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
8 Sept 2026, 18:01
31,471
+20
5 Sept 2026, 13:01
31,451
+3
2 Sept 2026, 06:35
31,448
-5
1 Sept 2026, 08:14
31,453
+9
31 Aug 2026, 06:13
31,444
+1
30 Aug 2026, 05:05
31,443
-19
29 Aug 2026, 03:16
31,462
+1
28 Aug 2026, 00:24
31,461
-4
26 Aug 2026, 21:03
31,465
-1
25 Aug 2026, 18:46
31,466
+22
24 Aug 2026, 20:25
31,444
+59
23 Aug 2026, 04:37
31,385
+51
21 Aug 2026, 14:08
31,334
-3
19 Aug 2026, 12:47
31,337
+28
18 Aug 2026, 11:08
31,309
-3
17 Aug 2026, 09:46
31,312
+15
15 Aug 2026, 17:37
31,297
-9
14 Aug 2026, 05:15
31,306
-2
12 Aug 2026, 22:35
31,308
+10
11 Aug 2026, 20:53
31,298
first reading
Engagement
39 posts held, back to 20 June 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.9%
avg views ÷ 31,471 subscribers
Avg views / post
6,270
16 posts measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
16
of 39 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 3 September 2026
Posts held
39 (20 June 2026 – 3 September 2026)
Views total
100,330
Reactions total
1,275
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 13:24 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
Video runtime
4m 47s
Average length
36s
Measured directly from 8 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
3,225 reactions across 38 posts, in 9 distinct kinds. The most used accounts for 80.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,592
80.4%
👍
418
13.0%
👏
140
4.34%
💔
24
0.744%
🕊
24
0.744%
👎
14
0.434%
🤔
9
0.279%
😢
2
0.062%
🤩
2
0.062%
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 39 of the 39 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 3,251 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 20 June 2026 to 3 September 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.
Telegram Stars
Stars received
500
across the posts below
Posts paid on
1
of 39 we hold a reading for · 3%
Most on one post
500
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ensanak. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 39 most recent posts we hold for this entry, published 20 June 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
طعم چیزها | ۲۰۲۳
طعم چیزها یا «اشتیاق دودن بوفان» یک فیلم درام تاریخی رمانتیک فرانسوی به کارگردانی تران آن هونگ است.
بازیگران اصلی آن ژولیت بینوش و بونوآ ماژیملاند. داستان فیلم در سال ۱۸۸۵ رخ میدهد و ماجرای عاشقانهای بین یک سرآشپز (اوژنی) و خوراکشناسی که برای او کار میکند را روایت میکند.
این اثر را میتوانیم اقتباسی از رمان «حماسه پرشور دودن بوفان» نوشته مارسل روف بدانیم.
فیلم در جشنواره کن سال ۲۰۲۳ برنده نخ…
میگویم «حوصله ندارم»
اما شرح دقیقتر این است:
حوصله چیزی را دارم که ندارم
•
چشیدن مزه غم یعنی
«نیستی» خودی نشان داده
و غم، شعاع تابش «نیستی» است
•
غم را هم باید چشید
نیستی رنگِ سیاهِ بوم است
و نقش زندگی بیآن نارس میماند
@ensanak 🐋
نیمهعمر شدهایم...
بخشی از ما مرگ را چشیده
و آنچه رفته، بازنخواهد آمد!
بهقدر معلومی، سپری شده
بهقدر نامعلومی، باقی مانده
تمرین و تدبیری اگر مینویسم
برای آن بخشِ «هنوز زنده» است
-
اما چه چیزهایی «هنوز زنده»اند؟
امروز به این سؤالِ مهم میاندیشم
مبادا - نادانسته - زندهبهگور کنم
آنچه را هنوز از من باقی مانده است
———
سهشنبه ۱۰ شهریور سال پنج
#نهان_خانه | #حسام_ایپکچی
@hesam_ipakchi
از عمر انشائک، بیش از یک سال و نیم گذشته است. در این سالها حوادث بسیاری رخ دادند، انشاهای زیادی نوشته شدند، دوستان بسیاری رفتند و دوستان دیگری آمدند. حالا به شصتوششمین موضوع انشا رسیدهایم.
در این انشا، بهخلاف موضوعهای قبل، میخواهیم درباره خود انشائک از شما بپرسیم.
وقتی انشائک آغاز شد، هنوز ابزاری به نام «هوش مصنوعی» اینقدر فراگیر نبود؛ پس متن مصنوعی هم نمیدیدیم.
سازوکار انتخاب انشا هم ساده بود. تأکید بیشتر…
سلام اهالی انسانک
موضوع #انشائک ۶۵ این بود که کدام روز از زندگیتان را به یک غریبه هدیه میدهید؟
انشاهای جالبی رسیدند؛ بهخصوص آنها که از دل تجربه بیرون آمده بودند، میتوانستند خواننده را با خودشان همراه کنند.
شبیه آن بود که غریبههایی آشنا، واقعاً یک روز از زندگی شما را لابهلای کلمات هدیه گرفته باشند...
براساس پسندهای شما، چهار برگزیده برای این هفته اعلام میکنیم:
🔻برگزیدگان نیمه دوم کامنتها:
▫️فاطمه تنهایی
▫️…
«مبتذلترین نوع غرور، غرورِ ملی است.»
این جملهی کوتاه از آرتور شوپنهاور، آنقدر تأملبرانگیز ــ و شاید در نگاه اول تعجبآور ــ هست که ارزندگی داشته باشد به قدر یک جرعه در آن درنگ کنیم.
در جرعهی هفتاد و دوم از پادکست مِی، سراغ «غرور ملی» رفتهایم؛ و تلاش کردهایم از خلال فرضها و موقعیتهای مختلف، یک پرسش ساده اما نهچندان ساده را دنبال کنیم: اصلاً چه زمانی و با چه منطقی میتوانیم به چیزی افتخار کنیم؟
این اپیزود را…
روزهای عالی | ۲۰۲۳
روزهای عالی فیلمی ژاپنی-آلمانی است که ویم وندرس کارگردانیاش کرده است. فیلم چهار داستان کوتاه را با هم ترکیب میکند و کوجی یاکوشو بازیگر نقش اصلی آن است.
هیرایاما، نظافتچی سرویسهای عمومی توکیو، زندگی منظم و سادهای دارد و در اوقات فراغتش مشغول گوشکردن موسیقی، خواندن کتاب و تماشای درختان میشود...
روزهای عالی در هفتادوششمین جشنواره فیلم کن برای نخل طلا رقابت کرد و جایزه هیئت داوران جهانی را بر…
اهالی تلگرام سلام
احتمالاً شما «اهلِ خواندن»ترین گروه مخاطبانید. اهل شنیدن و تماشا بیشتر در پادکست و اینستاگراماند. برای همین اولین رونمایی خدمت شما اعلام میشود
-
این وبلاگ تازه جوانه زده است
لطف میکنید اگر بررسی کنید و بفرمایید آیا با اینترنت داخلی ایران قابل دسترس است یا نه
😊👇🏼
http://hesamipakchi.com
📎 رهیده از امید
•
همه ذوق دارن برای این که زود به نتیجه برسن،
اما آدمهای کمی میتونن ذوقشون رو از طمع و اسارت نتیجه نجات بدن.
به امید قدم برداشتن سادهست، رهیده از امید قدم برداشتنه که سخته...
نه به معنی یأسآلود بودن
نه به معنی دل پژمردگی.
رهیده از امید اینه که پیشفرضمون این نباشه که آینده چیزی به ما بدهکاره، بگیم ما فقط وقتی قدم برمیداریم که بدونیم سهمی از نتیجهش داریم...
🎧 #انسانک63
❣قسمتی از گُستار عمل، #…
چگونه میتوانیم جامعهای بهرنگ «آینده» داشته باشیم؟ در پاسخ به این سؤال چهار ضلع در چهار اپیزود متوالی مطرح شد که جمع حروف اول آن میشود: خارگ؛
- اپیزود شصت: خیال جمعی
- اپیزود شصتویک: ادبیات اندیشه
- اپیزود شصتودو: روش روشن
- اپیزود شصتوسه: گُستار عمل
و این اپیزود، آخرین ضلع از مربع «خارگ» است که در پایان مرداد سال پنج منتشر شد. کلمه گستار یک نوواژه است و سابقهای در لغتنامه فارسی ندارد و توضیح درباره ساخت و مع…
اگر قرار بود یک روز از زندگیات را به غریبهای هدیه بدهی، کدام روز را انتخاب میکردی؟
موضوع انشای شصتوچهارم، همین پرسش است. شاید در نگاه اول ساده به نظر برسد، اما گذر از میان انبوه تجربهها و خاطرهها و یافتنِ «آن روز» کار سادهای نیست.
پس با تأمل و آرامش، به انتخابتان از میان اینهمه روز و تجربه، فکر کنید و جزئیات آن را با بقیه انسانکیها در میان بگذارید.
🌱مهلت ارسال این انشا: جمعه ۶ شهریور
🌱تعداد کلمه: حداقل ۵…
لوبیای شیرین | ۲۰۱۵
داستان لوبیای شیرین درباره مردی تنها، بدهکار و خسته از دنیاست که یک مغازه کوچک دورایاکیفروشی دارد. دورایاکی نوعی شیرینی دستساز ژاپنی است که با خمیر لوبیای شیرینشده درست میشود.
پیرزنی برای کار وارد مغازه او میشود و...
نویسنده و کارگردان فیلم، خانم نایومی کاواسه است. این فیلم ژاپنی برای افتتاح بخش نوعی نگاه شصتوهشتمین دوره جشنواره فیلم کن در سال ۲۰۱۵ انتخاب شد.
💡 مسئله اندیشیدنی پیشنهاد…
❤58👍1
Showing the 12 most recent of 39 posts we hold for @ensanak. 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.
Mentions
Named by 8 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
تهران پادکست | پادکست و کتاب صوتی @tehranpodcast · 230,818 Telegram ranks this channel #30 of 92 here — alongside 91 others — read 11 August 2026
sajad afsharian / سجاد افشاريان @sajadafsharian7 · 29,257 Telegram ranks this channel #47 of 76 here — alongside 75 others — read 8 September 2026
رادیو چهرازی و ... 🎧📚🎬 @radio_chehraziii · 61,978 Telegram ranks this channel #59 of 94 here — alongside 93 others — read 22 August 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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“| پادکست فارسی انسانک |” (@ensanak), 31,471 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/ensanak.
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.