2 measurements taken within a single day. 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 452–454 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 05:00
453
no change
7 Aug 2026, 12:32
453
first reading
Engagement
19 posts held, back to 16 December 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
37.6%
avg views ÷ 453 subscribers
Avg views / post
170
7 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
7
of 19 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 2 August 2026
Posts held
19 (16 December 2025 – 2 August 2026)
Views total
1,192
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:00 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
Photos
66
Videos
57
Links
136
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
6m 42s
Average length
50s
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.
Advertising
Ad load
5.26%
1 of 19 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
164
over 1 measured post
Median views · rest
265
over 17 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 19 most recent posts we hold, published 16 December 2025 to 2 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
📱اینفلوئنسرها و سینما: رونقبخش یا مخرب؟
▪️پدیده اینفلوئنسرها و نسبتشان با صنعت سینما طی سالیان اخیر، یکی از پربحثترین مسائل اجتماعی سینما و صنعت سرگرمی بوده است. پدیدهای که در ابتدا بستر حاصلخیزی بود برای استودیوها و کمپانیهای بزرگ سینمایی تا به دور از رابطه کلاسیک و غیرمنعطف با منتقدین و همچنین قرابت آراء آنها با مخاطبین عادی، نبض تماشاگران را کنترل کنند. اما در یکی دو سال گذشته و خصوصا امسال و با استراتژی غا…
AdvertisementForwarded from @CinemaParadisoooPhoto
▪️دعوتید به یک تاریخپژوهی روایی بر سینما!
🎙 ما در پادکست ادیسه سینمایی، پروندهای را آغاز کردهایم تحت عنوان «تاریخ سینما» و بر آنیم تا در بستری روایی و گفتگومحور، لایههای تاریخی و سیر هنر هفتم را بکاویم. در جدیدترین و سومین اپیزود از این پروندهی ویژه، از گسترش بینالمللی صنعت سینما و رونق نیکلودئونها در آمریکا گفتهایم؛ چیزی که تولدی بود برای آنچه بعدها هالیوود استودیویی از دل آن زاده شد.
📻 لینک شنیدن اپیزود
…
⁉️ پدیده سال سینمایی ۲۰۲۶ با یک قلمزنی خامدستانه؟
🔹️ اتاقهای پشتی بیش از آنکه فیلمی باشد که از ایدهی مرکزی جذابش بهره بگیرد، اسیر بلندپروازیهای تحققنیافتهی خود میشود. فیلم میخواهد هم تجربهای روانشناختی از مواجهه با تروما باشد، هم اثری سورئال، هم وحشتی مبتنی بر فاند فوتیج و هم روایتی فرامتنی؛ اما در هیچیک از این ساحتها به بلوغ نمیرسد. ضعف در شخصیتپردازی، ریتم، روایت و خلق اتمسفر، باعث میشود استعارهه…
🎞 قطار تاریخ سینما به ایستگاه سوم رسید!
▪️چطور صنعت نوپای سینما در اروپا گسترش پیدا کرد؟ چطور مقدمۀ ظهور ستارگان فراهم شد و چطور نظام مبتنی بر عرضه و تقاضا در این صنعت تازه بالیده، میان بازار اروپا و آمریکا همافزایی ایجاد کرد؟ چطور ظهور نیکلودئونها خشتهای اولیهس نظام استودیویی را بنیان نهادند؟
▫️برای واکاوی تاریخی تمامی این جریانات و پدیدهها، شنیدن این اپیزود از پادکست ما را از دست ندهید.
🔗 فایل پیوست اپیزود…
⛔️ مراقب آرزویی که میکنی باش!
▫️فیلم «Obsession» نشان میدهد ترسناکترین هیولاهای امروز دیگر در خانههای متروکه یا اعماق جنگلها زندگی نمیکنند. آنها در ذهن ما، در روابط ما و در سازوکار فرهنگیای حضور دارند که عشق را با مالکیت، توجه را با وابستگی و صمیمیت را با کنترل اشتباه گرفته است. شاید به همین دلیل است که پس از پایان فیلم، مهمترین پرسش این نیست که چه اتفاقی افتاد، بلکه این است که آیا آنچه بر پرده دیدیم، صرفا…
🔥 سفری گِلآلود به کوچهپسکوچههای نمور وستروس!
⚔️ شوالیه هفت پادشاهی تمام آن چیزی است که خاندان اژدها و سلفش بازی تاجوتخت نبودند. اینجا از نزاعات بینخاندانی و اژدهاسواریهای حماسی خبری نیست. نه خبری از جنگهای عظیم است و نه از دسیسهها و سیاستبازیها. اینجا با داستان کلاسیک و شخصیتمحوری طرفیم که از خلال شیمی میان یک کودک کلهتخممرغی و یک شوالیۀ آواره دنیای وستروس را عمقی تازه میبخشد.
🎙 فرصت را مناسب دیدیم …
❄️🔥 بهترین سریال جهان نغمه از فصل ۶ گات به بعد!
▪️در اپیزود بعدی به بهانهی آغاز پخش سوم سریال خاندان اژدها، به تحلیل و بررسی فصل اول سریال شوالیهای از هفتپادشاهی خواهیم پرداخت.
📆 دوشنبه ۸ تیر ۱۴۰۵
🕖 ساعت ۱۹
🎧 در پادگیرهای زیر خواهید شنید:
Castbox | YouTube | Podbean | Spotify | Podcast Addict | Blubrry | Pocket Casts
🆔 @AClockworkMovie
🎞 @Cinema_Odyssey
▪️وقایعنگاری یک پایان پوشالی!
▫️پس از هفت سال، طومار یکی از پرسروصداترین سریالهای دهۀ اخیر تلویزیون به سرآمد. سریالی که با هجو کلیشههای زیرژانر ابرقهرمانی، جسورانه خود را در دل مخاطبین وسیعی جا کرده بود، حالا با فرجامی مواجه است که حواشی زیادی را برانگیخته است.
🎙 در جدیدترین اپیزود از پادکست ادیسۀ سینمایی، به بهانه پایانیافتن سریال، در نقدی داینامیک کل سریال را بر پایه وقایع فصل آخر مورد بررسی قرار دادهایم و …
Showing the 12 most recent of 19 posts we hold for @Cinema_Odyssey. 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.
Citation-graph rank
Citation-graph rank — 118,307 of 1,480,944entries 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
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
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“پادکست ادیسه سینمایی | A Cinematic Odyssey” (@Cinema_Odyssey), 453 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/Cinema_Odyssey.
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.
