Technology — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 5 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 8 comparable posts for this entry, running 13 January 2026 to 4 April 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @criptogram_nft. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
26 measurements spanning 96 days, net -62. 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 2,457–2,537 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
11 Nov 2026, 09:05
2,466
-1
7 Nov 2026, 19:10
2,467
-2
5 Nov 2026, 03:27
2,469
-3
2 Nov 2026, 10:45
2,472
-2
30 Oct 2026, 01:28
2,474
-2
27 Oct 2026, 07:07
2,476
-2
21 Oct 2026, 06:44
2,478
-2
18 Oct 2026, 11:46
2,480
-2
15 Oct 2026, 09:09
2,482
-3
12 Oct 2026, 07:20
2,485
-4
5 Oct 2026, 11:41
2,489
-6
27 Sept 2026, 09:38
2,495
-7
13 Sept 2026, 22:58
2,502
-5
9 Sept 2026, 21:02
2,507
-5
4 Sept 2026, 14:01
2,512
+1
1 Sept 2026, 10:47
2,511
-2
29 Aug 2026, 12:08
2,513
+1
26 Aug 2026, 06:22
2,512
-2
23 Aug 2026, 17:06
2,514
-3
20 Aug 2026, 02:27
2,517
first reading
Engagement
9 posts held, back to 13 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 2 pages 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 4 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 33s
Average length
47s
Measured directly from 2 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.
#новости #блокировка #telegram
Дуров:
😎 Телеграм был заблокирован в России — тем не менее, 65 миллионов россиян до сих пор пользуются им ежедневно через VPN, а более 50 миллионов отправляют сообщения каждый день. Правительство тоже годами пыталось запретить VPN. Их попытки блокировки просто вызвали массовый банковский кризис — вчера наличные на короткое время стали единственным способом оплаты по всей стране. 😂
🧊…
+150 подписчиков с одного видео
На новом аккаунте за несколько дней
Для тех кто ещё сомневается есть ли смысл качать инсту через REALS и нейронки,
Делаю БЕСПЛАТНЫЙ! челендж на 7 дней
✅ Только практика.
✅ Научитесь создавать ролики.
✅И получать бесплатные просмотры и подписчиков.
Возьму несколько человек вступай 👇
https://t.me/+sCubw9KDflo0NmVi
Короче, делюсь честно 👇
За последние 2 дня:
— +2000 подписчиков
— 5+ миллионов просмотров
— и всё это занимает у меня около 2 часов в день.
Для понимания масштаба:
за весь 2025 год я набрал примерно столько же.
А тут — буквально за пару дней.
Я сейчас прямо в процессе.
Ничего не продаю «из теории» — всё делаю на себе, в реальном времени.
Если ты:
— хочешь развивать блог 📲
— или у тебя есть бизнес и нужны клиенты 💼
По…
Последние дни я тестировал новую систему увеличения охватов и просмотров в Instagram и TikTok 🚀
Не на словах — а прямо на своих аккаунтах.
Сразу цифры, без воды 👇
📊 Instagram (5 дней):
— 170 669 просмотров Reels
— 71 705 охваченных аккаунтов
— 85% просмотров — от не подписчиков
— почти весь трафик идёт через Reels (99%)
— 4 943 перехода в профиль
— 3 744 лайка
— 1 298 репостов
И всё это —
без разговорных рилс 🎤❌
без …
Идеи визуала для карточки товара 📸
Хотите, чтобы ваши товары уверенно выделялись среди конкурентов? Подготовила для вас подборку промптов, которые помогут создать яркий и необычный визуал для вашего товара. Применяйте их для своих карточек и выделяйтесь среди конкурентов.
📎Навигация: → «🎨 Дизайн с ИИ» https://t.me/syntxaibot?start=aff_5113787809 → «Nano Banana PRO»
Генерация изображения:
➕Загружаем фото товара
➕П…
🎵 Новая функции в SUNO: создание трека по своему голосу! [BOT]
Suno получил долгожданный апдейт для работы с голосовыми референсами - теперь можно создать трек со своим голосом или использовать чужой. В примере: первый трек - на основе голоса Drummatix, второй - с моим голосом.
Анимация в Kling Motion как эксперимент: неплохо поёт. Кому нужна ещё одна альтернатива в пении - можете пробовать.
📎Референс для Suno pe…
Как примерить свой паттерн на любой объект? ✍️🎨
Теперь не нужно быть дизайнером или тратить часы в редакторе.
Просто загрузите фото нужного объекта, выберите паттерн и используйте подходящий запрос для нейросети💗мгновенно получите идеальный результат и сразу увидите, как будет выглядеть ваш принт!
📎Навигация: → https://t.me/syntxaibot?start=aff_5113787809 «🎨 Дизайн с ИИ» → «Nano Banana PRO»
Генерация изображения:…
Я не просто купил курс за 50 000 ₽ 💸
Я разобрал его по винтикам 🧠⚙️
— вытащил самое жирное
— убрал всю воду
— усилил практикой
— и добавил главное — понятную монетизацию 💰
В итоге получился не курс, а готовый инструмент, который уже даёт результат 🔥
За короткое время:
✨ протестировал модель на живой аудитории
✨ получил первые заявки без лица и личного бренда
✨ ИИ-блогер стабильно набирает подписчиков 📈
✨ стало чётко …
Showing the 9 most recent of 9 posts we hold for @anek_dotik. 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.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Нейросети” (@anek_dotik), 2,466 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/anek_dotik.
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.