فیلم_کوتاه انیمیشن مفهومی "50% خاکستری" سربازی پس از مرگ، بیدار شده و ...
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Channel
@Filmkootahh
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
21,990subscribers
+46 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001159935883 |
|---|---|
| Type | Channel |
| Username | @Filmkootahh |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/Filmkootahh |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 11:07 | 21,990 | -1 |
| 31 Aug 2026, 08:03 | 21,991 | -17 |
| 30 Aug 2026, 09:44 | 22,008 | +3 |
| 29 Aug 2026, 07:35 | 22,005 | -4 |
| 28 Aug 2026, 04:17 | 22,009 | +3 |
| 27 Aug 2026, 07:23 | 22,006 | -3 |
| 26 Aug 2026, 07:02 | 22,009 | -5 |
| 24 Aug 2026, 03:46 | 22,014 | +3 |
| 22 Aug 2026, 10:13 | 22,011 | +2 |
| 20 Aug 2026, 21:06 | 22,009 | -1 |
| 19 Aug 2026, 18:42 | 22,010 | +1 |
| 18 Aug 2026, 20:27 | 22,009 | +30 |
| 17 Aug 2026, 18:33 | 21,979 | -1 |
| 16 Aug 2026, 15:52 | 21,980 | +15 |
| 13 Aug 2026, 12:15 | 21,965 | +4 |
| 12 Aug 2026, 15:04 | 21,961 | -8 |
| 11 Aug 2026, 12:33 | 21,969 | +1 |
| 10 Aug 2026, 12:48 | 21,968 | +2 |
| 9 Aug 2026, 15:13 | 21,966 | +7 |
| 8 Aug 2026, 15:42 | 21,959 | first reading |
237 posts held, back to 4 August 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 60 pages of Telegram’s post history, 20 posts per page.
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. It is computed over the 230 of 236 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 237 (4 August 2026 – 31 August 2026) |
| Views total | 285,136 |
| Reactions total | 2,038 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Aug 2026, 08:16 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.
Measured directly from 102 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.
1,932 reactions across 212 posts, in 5 distinct kinds. The most used accounts for 76.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,476 | 76.4% | |
| 🥰 | 243 | 12.6% | |
| 👍 | 100 | 5.18% | |
| 🔥 | 77 | 3.99% | |
| 👏 | 36 | 1.86% |
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 230 of the 237 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 2,038 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 237 most recent posts we hold, published 4 August 2026 to 31 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.
فیلم_کوتاه انیمیشن مفهومی "50% خاکستری" سربازی پس از مرگ، بیدار شده و ...
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جارى شو دريچه اى بدنياى زيباى موسيقى، هنر، ادبیات و انديشه جهانى و گريزى از دنياى پر هياهوى حال Join ⏬️⏬️⏬️ https://t.me/flowwithmusic
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فریدون گله؛ فیلمسازی متفاوت در سینمای ایران. فریدون گله در شهریورماه ۱۳۱۹ در تهران به دنیا آمد. او تحصیلات خود را در رشته ادبیات در دانشگاه مشهد آغاز کرد، اما علاقهاش به سینما او را به سوی دنیای فیلم کشاند؛ تا جایی که برای ادامه تحصیل در رشته سینما راهی نیویورک آمریکا شد. گله پنج سال در نیویورک به تحصیل سینما پرداخت و در همان دوران، در محیطی آموزشی قرار گرفت که چهرههایی چون: مارتین اسکورسیزی، آن بنکرافت، جین هکمن…
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ثبتنام دوره تحلیل فیلم Shot by shot آغاز شد... در این دوره با نگاهی عمیقتر و جدیتر به تحلیل سینمایی میپردازیم و لایههای هر فیلم را تحلیلگرانه میکاویم. همچنین هر جلسه با تکیه بر آرای صاحبنظران و نظریهپردازان این حوزه، خوانشی دقیق، ژرف و چند لایه از پنج فیلم منتخب سینما خواهیم داشت. برای دریافت اطلاعات بیشتر و ثبتنام به پاسخگو پیام دهید @Negaaraan_admin نگاران؛ ادبیات و داستان.
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https://hekmatkalame.com/
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دائی جان ناپلئون نخستین تجربه ناصر تقوایی در تلویزیون و نیز ژانر طنز محسوب میشود. ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ تقوایی پیش از آغاز تولید این مجموعه، موفقیت آن را پیشبینی کرده بود و در اینباره گفته است: «اگر داییجان ناپلئون را برای یک کار تلویزیونی انتخاب کردم، به این جهت بود که این قصه ظرفیت زیادی برای ارتباط برقرار کردن با توده وسیعی از مردم را داشت.» پس از …
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عادت ندارم دردِ دلم را به هر کسی بگویم پس خاکش میکنم زیر چهره ی خندانم تا همه فکر کنند نه دردی دارم... نه قلبی... چارلی چاپلین
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یکی از تکاندهندهترین صحنههای «مصائب مسیح»، لحظهای است که شیطان در میان جمعیت، در حالیکه عیسی تازیانه میخورد، با «کودکی» در آغوش از کنار مردم عبور میکند. مل گیبسون منطق کابوسوار پشت این تصویر را اینگونه توضیح میدهد: «چه چیزی لطیفتر و زیباتر از تصویر مادر و کودک است؟ شیطان همان را کمی تحریف میکند. بهجای یک مادر و کودک معمولی، یک شخصیت اندروژن را میبینیم که یک بچهٔ ۴۰ ساله که موهای زیاد بر پشت کمرش دارد…
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اَوْنِر آیزنبرگ، یکی از اصیلترین و منحصربهفردترین شخصیتهای کمدیِ کِلاونوارِ مدرن را خلق کرد: «اَوْنِرِ عجیبوغریب»؛ شخصیتی خاموش، quirky و نامتعارف که با منطقی عجیبوغریب، اشیای ساده و پوچیهای زندگی روزمره را به نابترین لحظات کمدی تبدیل میکرد. اَوْنِر که در پاریس نزد استاد افسانهای هنر پانتومیم، ژاک لکوک، آموزش دیده بود، ترکیبی کمنظیر از هوشمندی و eccentricity را به صحنه آورد. منتقدی به نام جان سیمور درب…
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اینگرید برگمن... #سینما از اینکه دارم پیر می شوم، اصلا نگران نیستم؛ چون همۀ ما با هم پیر می شویم. اگر پیری فقط برای من بود ترس معنا پیدا می کرد. ولی ما همه در یک کشتی هستیم، و همۀ دوستانم با من هم مسیرند. همۀ ما به سمت پیری در حرکتیم. و هیچیک نمی دانیم چند سال از عمرمان باقی مانده. فقط باید این حقیقت را بپذیریم. اینگرید برگمن
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اجرای کیهان کلهر در مراسم بزرگداشت بهرام بیضایی دانشگاه استنفورد - اسفند ۱۴۰۴
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نورمن ویزدوم در حال دست دادن با منوچهر وثوق، در کنار نورمن ویزدوم مهدی میثاقیه تهیه کننده و صاحب استودیو میثاقیه دیده می شود. بسیاری از فیلم های فارسی در استودیو میثاقیه تولید شدند. استودیو میثاقیه بعد از انقلاب مصادره و به بنیاد سینمایی فارابی تبدیل گردید.
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Showing the 12 most recent of 237 posts we hold for @Filmkootahh. 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.
@Filmkootahh edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 119,869 of 1,629,808 entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 13 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@Filmkootahh named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“فیلم و هُنر فاخر 2” (@Filmkootahh), 21,990 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/Filmkootahh.
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.