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Channel
@themold33
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
104subscribers
-14 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001280014853 |
|---|---|
| Type | Channel |
| Username | @themold33 |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/themold33 |
Film & TV — 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 26 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Oct 2026, 07:15 | 104 | -1 |
| 27 Sept 2026, 15:01 | 105 | -1 |
| 13 Sept 2026, 15:57 | 106 | -6 |
| 28 Aug 2026, 07:48 | 112 | -2 |
| 21 Aug 2026, 04:46 | 114 | -2 |
| 15 Aug 2026, 02:18 | 116 | -2 |
| 9 Aug 2026, 04:47 | 118 | no change |
| 7 Aug 2026, 17:13 | 118 | first reading |
9 posts held, back to 1 January 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 6 March 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
98 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 35.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5285192609050927630 | 35 | 35.7% | |
| ❤🔥 | 24 | 24.5% | |
| custom 5395810565501243139 | 17 | 17.3% | |
| custom 5273979493118134935 | 9 | 9.18% | |
| custom 5420607391680963707 | 5 | 5.10% | |
| custom 5229148169215961759 | 4 | 4.08% | |
| 😢 | 3 | 3.06% | |
| custom 5309877229210074569 | 1 | 1.02% |
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 9 of the 9 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 98 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 1 January 2026 to 6 March 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.
🎞
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🎥«Камон камон» Майка Миллса и «Солнце мое» Шарлотты Уэллс - два фильма для тех, кто понятия не имеет, кто такой отец в семье два очень похожих, но в то же время кардинально разных фильма о взаимоотношениях ребенка и отца «Камон Камон» рассказывает черно-белую историю о журналисте (которого играет Хоакин Феникс), собирающем детские интервью о страхах и надеждах на будущее. Сестра репортера просит приглядеть за мален…
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☕️ великий и ужасный Линч, медитации и рыбы а еще у него своя студия, где он занимался абсолютно всем и дом, который он сам себе полностью спроектировал
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Video message, posted without a caption
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📢 Середина 90-х Аутентичный фильм о взрослении, скейтбординге и стрит-культуре Сюжет крутится вокруг маленького мальчика, который пытается стать взрослее, вливаясь в стрит-культуру и попадая в компанию скейтеров Получается некоторая комичная драма с колоритными персонажами - все разные, но в каждом есть что-то свое + интересный бэкграунд. Двое хороших скейтеров, но с разными путями, два малых, включая главного гер…
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🤩 Почему “Trainspotting” - не просто фильм про наркоманов?
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дочитала «психологию в кино» автор - психолог и киновед, рассказывает о том, из чего состоят персонажи в кино и обычные люди с точки зрения психологической практики. много примеров из конкретных фильмов и разбор готовых персонажей по психо-типажам. + блок про теории фрейда и юнга, архетипы и психологию масс — без духоты и параллелью с киноиндустрией, как они влияют на нее и зрителя. хорошая база даже для тех, кто…
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я обожаю эти видосы. а девчулю с первого кадра я уже давно не знаю, че она улыбается постоянно?
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🌟 Ежегодная база, но с опозданием. Сначала хотела сделать (и даже сделала, но по итогу вырезала) из этого большой проект с подкастом о том, насколько все говно, но говно победило меня, поэтому вернулась к истокам. Может быть, через год. Больше сказать нечего, одни провалы (даже в памяти), дерьмо и абсолютный крах, ничего хорошего. Но видос веселый https://vkvideo.ru/video-113999131_456239027
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Showing the 9 most recent of 9 posts we hold for @themold33. 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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“он заплакал в конце🥲” (@themold33), 104 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/themold33.
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.