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 10 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 the other topics.
Growth
62 measurements spanning 94 days, net +3,227. 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 13,733–17,928 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
9 Nov 2026, 10:11
17,444
+611
7 Nov 2026, 22:01
16,833
+435
6 Nov 2026, 23:05
16,398
+317
6 Nov 2026, 02:36
16,081
+12
4 Nov 2026, 22:30
16,069
+11
3 Nov 2026, 21:01
16,058
+32
2 Nov 2026, 19:38
16,026
+28
1 Nov 2026, 17:41
15,998
+63
31 Oct 2026, 15:11
15,935
+41
30 Oct 2026, 16:39
15,894
+67
29 Oct 2026, 13:04
15,827
+18
28 Oct 2026, 11:46
15,809
-20
27 Oct 2026, 12:11
15,829
-9
26 Oct 2026, 11:00
15,838
-11
25 Oct 2026, 08:00
15,849
-2
24 Oct 2026, 11:20
15,851
+20
23 Oct 2026, 14:21
15,831
-4
22 Oct 2026, 16:01
15,835
-41
21 Oct 2026, 11:59
15,876
+9
20 Oct 2026, 09:26
15,867
first reading
Engagement
58 posts held, back to 16 July 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.3%
avg views ÷ 17,444 subscribers
Avg views / post
4,070
23 posts measured
Reaction rate
0.454%
reactions ÷ views · ER floor
Posts in window
23
of 58 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 9 November 2026
Posts held
58 (16 July 2026 – 9 November 2026)
Views total
93,550
Reactions total
425
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 16:57 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
184
Videos
46
Links
175
Lifetime counters from Telegram’s own channel header, read 9 November 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
41m 04s
Average length
2m 56s
Measured directly from 14 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
1,251 reactions across 58 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,251
100.0%
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 58 of the 58 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 1,251 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 16 July 2026 to 9 November 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
94
across the posts below
Posts paid on
14
of 58 we hold a reading for · 24%
Most on one post
53
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @goldchecks. 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 58 most recent posts we hold for this entry, published 16 July 2026 to 9 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 23 posts held from the last 30 days (13.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📩 Мне часто пишут такие сообщения: помоги, научи. В личке на них почти не отвечаю. Отвечаю здесь, сразу всем.
Путей два
Первый — бесплатный. На YouTube огромное количество обучения. Смотри, как делают другие, и начинай пробовать сам. Что получается, а что нет — поймёшь только по своим роликам. Картинки и озвучку делай в нейросетях, подписки на них стоят недорого. Путь рабочий, многие так и начинали.
Второй — проще…
🪙 За неделю сюда пришло больше тысячи человек с ролика про бесплатный способ делать шортсы. Если ты из них, первый вопрос понятный: на YouTube вообще зарабатывают?
Ответ в кружке: доход одного моего канала за последние 28 дней. Включи звук
🎞 Канал в кружке — на длинных роликах, и собран он на моей программе GoldWork Studio. Сценарий, картинки, озвучку и монтаж она делает сама. От тебя — тема.
Свой канал можно собир…
🎬 Два видео. Первое собрал Claude по моему вчерашнему бесплатному способу, второе программа GoldWork Studio.
Первое - шортс про лошадь Ханса. Claude собрал его кодом, из 3D-фигур. Круто, но вид у такого ролика один, и скоро он будет у каждого первого: за неделю с того ролика ко мне пришли 673 человека. Одинаковые ролики - ни уникальности, ни просмотров.
Второе Claude не сделает. Один промпт, меняется только стиль -…
▶️ Как Делать Вирусные Мультики-Шортсы через Claude (Полный Процесс)
- YOUTUBE
🌟 Полный ПРОМТ из видео: тык
- если ссылка не кликабельна, выключи перевод в телеграмме
- чтобы найти любые промты / мануалы напиши название видео в поиске телеграмма и найдешь пост
реакции ⭐
📌 Все бесплатные промты канала в одном посте: от выбора темы до разбора, почему ролик не набрал. Сохрани.
Мне написал человек: бросил около десяти каналов и ни разу не посмотрел, почему не набрали. «Если не пошло, то не пошло».
А причину обычно можно найти. Кидаешь файл из поста в нейросеть, она скажет, что поменять.
🧭 До первого ролика
Проверка темы: от чего умирают каналы
Монетизация: не отключат ли ИИ-канал
Тем…
🔁 Повторил чужой ролик, который залетел, а твой не набрал? Промт в файле к этому посту сравнит твой ролик с оригиналом и скажет, что потерялось
Это частая история. Тему взял ту же, сделал похоже, а просмотров нет
Само видео нейросети не нужно. Нужны три вещи про оба ролика:
Текст: что говорят в ролике, от начала до конца
Упаковка: название, обложка, описание
Цифры: просмотры оригинала и твоя статистика из YouTube S…
📅 9 месяцев назад я впервые написал здесь про GoldWork Studio. Для тех, кто тут недавно: итоги на картинке, а здесь коротко, что за ними.
Это программа, которая сама делает ролики, от сценария до готового видео. Для YouTube, TikTok и Instagram, вертикальные и горизонтальные: от короткого ролика до фильма на полчаса.
5 февраля я открыл предзаказ, 27 февраля выдал первый ключ. Всё из чек-листа, что вышло после, купив…
🔥 Показываю всю программу в одном ролике: мультик про зомби-апокалипсис в школе, 215 картинок с озвучкой за 21 минуту.
▶️ Не грузит видео или хочешь посмотреть целиком — полный ролик на YouTube: https://www.youtube.com/watch?v=Ra6vmXYeaOw
📄 Файл программа делает сама
В обзоре на YouTube я делал файл в Claude, чтобы способ увидели все, и те, кто делает вручную. А программа такой файл делает полностью сама: закидывае…
🎯 Почему твои ролики не набирают просмотры? Вот промт: сравнит твой канал с соседом по теме, у которого уже набирают.
Файл в этом сообщении. Кидаешь его в любую нейросеть и два скрина вкладки «Видео»: свой канал и чужой.
YouTube-студия не нужна, руками ничего вбивать не надо.
С этим ко мне в личку приходит каждый третий. И понять правда тяжело: одни каналы набирают, другие нет, а общих правил нет.
Поэтому мерку бе…
🎞 Так YouTube сейчас отказывает в монетизации. Прочитайте причину: про нейросеть там ни слова
На первой картинке свежий отказ чужому каналу. Причина: «повторно используемый контент», ролики не свои, взяты из другого источника и толком не переработаны.
Год назад мне пришёл отказ с той же причиной. Я тогда был уверен, что дело в нейросети
С этим страхом сейчас приходят и ко мне в личку: на ИИ, мол, не монетизируют. …
▶️ Claude Code + Мультики про Зомби-Апокалипсис = $22,560 за 2 Недели
- YOUTUBE
🌟 Полный ПРОМТ из видео: тык
📁 Программа из видео: https://goldstudio.work/
- если ссылка не кликабельна, выключи перевод в телеграмме
- чтобы найти любые промты / мануалы напиши название видео в поиске телеграмма и найдешь пост
реакции ⭐
🔥41
Signed Виталий
Showing the 12 most recent of 58 posts we hold for @goldchecks. 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.
Posts edited after publishing
@goldchecks edited 1 post 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.
First edit seen
18 August 2026
Most recent edit
18 August 2026
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
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“ЗОЛОТЫЕ ЧЕКИ” (@goldchecks), 17,444 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/goldchecks.
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.