3 measurements spanning 9 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 264–266 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 19:58
264
-1
31 Aug 2026, 05:04
265
-1
30 Aug 2026, 11:15
266
first reading
Engagement
14 posts held, back to 10 May 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
82.6%
avg views ÷ 264 subscribers
Avg views / post
218
2 posts measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
2
of 14 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 25 August 2026
Posts held
14 (10 May 2026 – 25 August 2026)
Views total
436
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 11:15 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
5m 50s
Average length
1m 10s
Measured directly from 5 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
167 reactions across 14 posts, in 12 distinct kinds. The most used accounts for 28.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
48
28.7%
custom 5364201435858744869
44
26.3%
❤🔥
28
16.8%
custom 5303055657207868286
15
8.98%
custom 5303431217738165645
9
5.39%
🤩
6
3.59%
👍
5
2.99%
custom 5303030544534088922
4
2.40%
custom 5217608395250485583
3
1.80%
😁
3
1.80%
custom 5375135722514685501
1
0.599%
😍
1
0.599%
Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 14 of the 14 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 167 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 10 May 2026 to 25 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 14 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @filmmakingsucks. 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 14 most recent posts we hold for this entry, published 10 May 2026 to 25 August 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.
Офф топ
Досмотрел сейчас презентацию gamescom 2026 и спустя 2 часа наконец-то дождался хороших новостей.
Ведьмак 3: дикая охота получил ремастер 😍
Улучшили графоуни, добавили новые добивания, изменили поведение монстров, эффекты от применения знаков и вообще там огромный список изменений. Из важного: ремастер можно получить бесплатно вместе с двумя предыдущими длц, если уже есть игра 🥹
Показали трейлер нового длц,…
Привет❤
Что-то давно тут не было интересных статей из мира съемки. Исправляюсь и тезисно рассказываю. Оригинал статьи оставлю тут.
Еще год назад наткнулся на статью про патент Кенона. Компания запатентовала систему стабилизации да не простую а с умной системой, которая не дает гимбалу упереться в свой механический предел. Звучит сложно, но сейчас объясню, как это выглядит на практике.
Допустим работаем на всем прив…
Вот такую тему вчера построил 🙏
Пока пробно вылез затестить фонари, снимал два часа, светили на 1% мощности. Индикатор аккумов вообще с места не сдвинулся 😱
Привет 🙏
Смотрите, что приехало! Это кубики от Уланзи на 100 ватт на аккумуляторе 😱
Один биколорный, один ргб. Распаковку снимать не стал тк комплектация довольно скучная: фонарь, сетевой кабель, горшок и рассеиватель.
Самое интересное, что работают от аккума, а это значит можно с ними работать на натуре без особых усилий. Обзора как такового не будет, покажу сразу в деле, заодно проверю сколько держит аккум на 10…
А вот и бэкстейдж второго клипа ❤
Опять тяжелая музыка, но без коня, зато на заводе кек
Вот ссылка на клип: https://youtu.be/yM8k_KzadUE?si=85uWgu1jwiIGY-Dp
По железу ничего не отличается, те же фонари и светоформирующие насадки. Камера fx3, стекла 12-24 и 24-105 ❤️
Наконец-то опубликовали клип, на котором я был гаффером и теперь можно рассказать, как это происходило ❤
Вот сразу ссылка на клип: https://youtu.be/I9S-nvIzRWo?si=f7UAlTyqV0V0BVUx
Кароч, коротенько
Две смены: одна в студии, вторая где-то за цкадом в конном театре. Светил в основном своими колборами на 300 и 200 ватт, из светоформирующего были чайник, 80й софт и горшки. Тк все было в низком ключе и с большим контрас…
Показываю свои любимые фокусные расстояния, когда снимаю электроскейт ❤
🔘12мм - супер широкие общаки и заявочные. Отлично передает динамику и скорость
🔘35мм - универсально под детали, средние и общие планы. Уже не широко, как 12мм, но еще не узко как 85мм
🔘85мм - детали, портреты и общие планы с немного сжатой перспективой
Наконец-то начался досочный сезон, а я каким-то образом снова на аналоговой доске ❤
Коротко рассказываю и показываю, как снимаю на телефон. Все на базе айфона, клетка смоллриг с ручками и нд фильтром. Сама запись с помощью приложения Blackmagic cam.
Насчет приложения, кстати, я почему-то к нему скептически сначала относился, а потом что-то понял и оно оказывается капец какое удобное. Очень хочется докупить ssd с ma…
Showing the 12 most recent of 14 posts we hold for @filmmakingsucks. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Mentions
Named by 2 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.
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.
“Filmmaking Sucks” (@filmmakingsucks), 264 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/filmmakingsucks.
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.