Education — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
8 measurements spanning 60 days, net -2. 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 773–781 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Oct 2026, 20:00
774
-4
25 Sept 2026, 02:19
778
-2
12 Sept 2026, 05:16
780
+1
4 Sept 2026, 20:40
779
-1
28 Aug 2026, 18:37
780
+1
15 Aug 2026, 19:06
779
+3
8 Aug 2026, 01:48
776
no change
7 Aug 2026, 23:04
776
first reading
Engagement
20 posts held, back to 14 November 2022 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 11 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9m 27s
Average length
1m 11s
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
300 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 50.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
151
50.3%
💔
126
42.0%
👍
17
5.67%
👎
6
2.00%
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 17 of the 20 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 300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 14 November 2022 to 11 July 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.
۱۰ تا نکته حرفهای برای اینکه ویدئوهاتون چند لِوِل بهتر بشن 🎥
1. قبل و بعد از هر برداشت، عجله نکن.
ضبط رو ۳ تا ۵ ثانیه زودتر شروع کن و ۳ تا ۵ ثانیه دیرتر قطعش کن. موقع تدوین حسابی به دردت میخوره.
2. فقط از سوژه فیلم نگیر.
از محیط، دستها، وسایل و جزئیات هم چند تا نما بگیر. اینا همون B-Rollهایی هستن که ویدئوت رو حرفهایتر میکنن.
3. دوربین بیدلیل حرکت نده.
هر حرکت دوربین یه دلیل داشته باشه؛ وگرنه فقط ح…
#نکته
ریتم در تدوین یعنی چی؟!؟
ریتم در تدوین یعنی نظم و سرعتِ قرار گرفتن نماها کنار هم.
ریتم مناسب باعث میشه فیلم روان، جذاب و هماهنگ با احساس و داستان پیش بره و توجه مخاطب حفظ بشه
یک مثالش میشه فیلم Mad Max: Fury Road
در صحنههای تعقیبوگریز، کاتها سریع و هماهنگ با حرکت و موسیقی انجام میشن این ریتم تند، هیجان را افزایش میده و باعث میشه مخاطب بدون سردرگمی، صحنه ها رو دنبال کنه
@premiereproedit
🎞️ 5 نکته که قبل از تدوین کردن هر فیلم و ویدیویی باید بدونید
1 .هر کات باید دلیل داشته باشد.
اگر کات چیزی به داستان، احساس یا ریتم اضافه نمیکند، حذفش کن.
2.روی ضرب موسیقی کات نزن؛ روی احساس کات بزن.
گاهی یک فریم قبل یا بعد از بیت، تأثیر بیشتری دارد.
3.ابتدا صدای خوب، بعد تصویر خوب.
مخاطب تصویر متوسط را تحمل میکند، اما صدای بد را نه.
4.ریتم تدوین را تغییر بده.
کاتهای پشت سر هم خستهکننده میشوند؛ بین پلانهای س…
اگر جای اسپیلبرگ بودم و می خواستم فیلمی صد هزار برابر سیاه تر از شیندلر لیست بسازم که هرکس به سینما رفت و آنرا دید، دیگر حتی نتواند دست بگیرد به دسته صندلی اش و از جایش بلند شود، احتمالا ایده اولیه فیلمم همین قدر ساده بود: سه روز زندگی یک جوان نیمه جان داخل یک کیسه مشکی همین!
سریال استودیو بنظرم بهترین سریال پنج سال اخیر هست بدون شک
نویسنده سریال واقعا عشقی عمیق به سینما داشته. تمام بازیگرها عالی هستن. بخصوص برایان کرانستون.
تصویر برداری بسیار بینظیر و تکنیکال چشم نوازی میکنه .
قسمت آخر فصل یک بنظرم جزو ده اپیزود برتر تاریخ تلویزیون هست👌
نبوغ یعنی ۹۳ سال پیش بتونی این سکانس پرتحرک و خندهدار رو بدون کات با تمام جزئیات و حرکت بازیگرها و حرکت دوربین چنین ماهرانه و مهندسیشده به تصویر بکشی.(بخشی از فیلم City Lights)
@premiereproedit
#اصطلاحات_سینمایی
💥پانا ویژن
نوعی روش فیلمبرداری برای نمایش بر روی پرده ی عریض است که برروی فیلم نگاتیو70 میلیمتری انجام می شود. سپس این نگاتیو یا روی فیلم پوزتیو 70 میلیمتری نمایش داده می شود یا ازطریق عدسی آنا مورفیک روی فیلم 35 میلیمتری چاپ می گردد. درنهایت فیلم 35 میلیمتری به وسیله ی عدسی دیگری منبسط وروی پرده ی نمایش تابانده می شود.
@premiereproedit
Showing the 12 most recent of 20 posts we hold for @premiereproedit. 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
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
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.
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 6 October 2026 — this
entry's latest reading, not the date you are reading this.
“لذت تدوین” (@premiereproedit), 774 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/premiereproedit.
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.