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Channel

RED NEWS | НейроШопсоАвгуст

@redsmmnews

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry

2,905subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001651485690
TypeChannel
Username@redsmmnews
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/redsmmnews

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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.

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 word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. 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)
Posted firstThenOverlapGap
@redsmmnews/6954 · this entry4 Aug 2026, 08:05 UTC@redsmmtg/39204 Aug 2026, 08:08 UTC1.003 minutes
@redsmmnews/6957 · this entry4 Aug 2026, 09:12 UTC@redsmmtg/39224 Aug 2026, 09:18 UTC1.006 minutes
@redsmmnews/6958 · this entry4 Aug 2026, 09:36 UTC@redsmmtg/39234 Aug 2026, 09:36 UTC1.00under a minute
@redsmmnews/6960 · this entry5 Aug 2026, 07:03 UTC@redsmmtg/39245 Aug 2026, 07:04 UTC1.00under a minute
@redsmmnews/6966 · this entry5 Aug 2026, 09:22 UTC@redsmmtg/39295 Aug 2026, 09:22 UTC1.00under a minute
@redsmmnews/6969 · this entry6 Aug 2026, 08:05 UTC@redsmmtg/39316 Aug 2026, 08:07 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@redsmmtg14 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (140)

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 0 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 20 comparable posts for this entry, running 4 August 2026 to 7 August 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).

Across the whole group of 4, the earliest publisher we hold is @ai3key. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

2,9052,9142,909.57 August 2026 — 2,914 subscribers7 August 2026 — 2,914 subscribers7 August 2026 — 2,913 subscribers11 August 2026 — 2,905 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net -9. 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 2,904–2,915 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 07:062,905-8
7 Aug 2026, 21:582,913-1
7 Aug 2026, 14:022,914no change
7 Aug 2026, 13:572,914first reading

Engagement

20 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.864%
avg views ÷ 2,905 subscribers
Avg views / post
25.1
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
of 20 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (4 August 20267 August 2026)
Views total502
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 14:02 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.

Recent posts

7 Aug 2026, 12:42 UTC10 viewsread 7 August 2026
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🚀 Новый практикум «НейроШопсы» с наставником уже на следующей неделе Если давно хотел разобраться с Шопсами, но постоянно откладывал - сейчас хороший момент начать Запускаем новый практикум «НейроШопсы» За 5 дней вместе с наставником: ✅ зарегистрируем и настроим нейросети; ✅ покажем, как делать Шопсы без покупки товаров; ✅ научимся выбирать товары для рекламы; ✅ разберем, как использовать ИИ, чтобы работать быстре

6 Aug 2026, 10:04 UTC34 viewsread 7 August 2026
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🔥 Подключайся на разборы на курсе ДНК прямо сейчас! Что такое разборы - это живой зум, где сидят все участники курса и общаются лично с Дмитрием, задают ему свои вопросы по блогам и получают рекомендации - СТРОЯТ СВОЮ ЛИЧНУЮ СТРАТЕГИЮ РАЗВИТИЯ БЛОГА🔝 Хочешь посмотреть, как проходят разборы? Залетай по ссылке зрителем👇👇👇 https://getcourse.redsmm.ru/pl/webinar/show?id=3311585 Те рекомендации, которые Дмитрий дает

6 Aug 2026, 08:05 UTC25 viewsread 7 August 2026
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🚀 Твой доступ на разборы курса "Деньги на контенте" День открытых дверей в школе REDSMM и мы даём зрительский доступ на живые разборы курса! Что такое разборы ДНК? Это закрытый зум, где участники курса лично общаются с Дмитрием Кудряшовым, задают вопросы по своим блогам и получают чёткие рекомендации. На разборах происходит разработка личной стратегии развития блога под ключ 🔝 ⏰ Старт сегодня в 13:00мск Ты увиди

5 Aug 2026, 09:56 UTC39 viewsread 7 August 2026
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🔥 Сейчас показываю то, ради чего многие ждали сегодняшний эфир Переходим к оформлению групп через нейросети: ✅ Как быстро подготовить описание ✅ Как оформить сообщество ✅ Как сделать так, чтобы группа выглядела живой и вызывала доверие Если ведете Шопсы, Маркет или развиваете блог - эта часть эфира точно будет полезной Еще успеваешь подключиться 👇 https://getcourse.redsmm.ru/pl/webinar/show?id=3311183?utm_source

5 Aug 2026, 09:36 UTC30 viewsread 7 August 2026
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Ты где??? Почему-то не вижу тебя в комнате веба😎 Мы сейчас разбираем как вести соцсети нейросетями так, чтобы это выглядело как работа живого человека Если у тебя проблемы со входом на эфир, вот что можно сделать: ✅ Отключи ВПН ✅ Обнови страницу ✅ Попробуй открыть ссылку через другой браузер ✅ Проверь интернет - перезагрузи роутер или переключись с Wi-Fi на мобильные данные Активная ссылка на подключение к т

5 Aug 2026, 09:22 UTC23 viewsread 7 August 2026
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👀 Во ВКонтакте нейросетный контент может отлично работать. Но есть один нюанс... Если делать всё "в лоб", сразу видно, что текст написал ИИ Сегодня показываю, как этого избежать. Какие приемы помогают сделать контент более живым. Какие форматы работают лучше для Шопсов, Маркета и обычного блога Подключайся прямо сейчас! Эфир уже идет ▶️ https://getcourse.redsmm.ru/pl/webinar/show?id=3311183?utm_source=web&utm_co

5 Aug 2026, 09:12 UTC20 viewsread 7 August 2026
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‼️ Жду тебя на эфире! Разбираем ошибки в работе с нейросеткой Многие используют нейросети только чтобы написать текст... А ведь ими можно за несколько минут оформить группу, придумать контент-план, сделать описание и подготовить публикации! Именно это сейчас показываю в эфире Если еще не подключились, заходите Самое интересное только начинается, здесь ⤵️ https://getcourse.redsmm.ru/pl/webinar/show?id=3311183?utm

5 Aug 2026, 09:00 UTC20 viewsread 7 August 2026
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🚀 Начинаем! Я включаю демонстрацию экрана Сегодня будем делать контент через нейросети для: • Шопсов; • Яндекс Маркета; • ВКонтакте; • своего блога Покажу реальные примеры, рабочие запросы и свои приемы, которыми пользуюсь сам🔥 Первым, кто подключится от меня 1000руб в подарок на счет. Гоу по ссылке👇 https://getcourse.redsmm.ru/pl/webinar/show?id=3311183?utm_source=web&utm_content=0508

5 Aug 2026, 08:47 UTC22 viewsread 7 August 2026
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🚨 15 минут до эфира. Сегодня будет самая практическая часть Буду прямо показывать экран: Какой контент делать для Шопсов Какой - для Маркета Какой - для обычного блога Покажу, как оформить группу нейросетями так, чтобы она выглядела живой, а не заброшенной! Сегодня будет практика! Только то, что можно повторить сразу после эфира 🎁 Те, кто придут без опозданий, получат от меня бонус 1000 руб. На эфире расскажу как

5 Aug 2026, 08:02 UTC22 viewsread 7 August 2026
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🔥 Сегодня покажу, как вести соцсети нейросетями так, чтобы это выглядело как работа живого человека Многие уже научились просить ChatGPT написать пост. Но проблема в другом... После таких постов сразу видно: текст сделал ИИ. Сегодня покажу, как использовать нейросети по-другому Разберем: ✅ контент для Шопсов; ✅ посты под Яндекс Маркет; ✅ обычные посты, которые хорошо заходят в соцсетях; ✅ оформление группы ВК чере

5 Aug 2026, 07:42 UTC13 viewsread 7 August 2026
Forwarded from @redsmm

Как делать контент нейронками под Шопсы, маркет и просто залетающие посты во ВКонтакте Все буду рассказывать с примерами уже через 93 минуты Если не были вчера тож приходите Контент Конечн сочный пропустили, но сегодня все равно все поймете :)

5 Aug 2026, 07:03 UTC29 viewsread 7 August 2026
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⚠️ Одна ошибка, из-за которой нейросети пишут ерунду Ее совершают почти все😱 Из-за этого кажется, что ИИ не умеет писать нормальные посты Сегодня покажу, что именно нужно изменить, чтобы результат был совсем другим! Урок практический! Еще разберем: • как делать посты для шопсов и рефералок; • как создавать рилсы через нейросети; • как сократить время на контент в несколько раз. 🔔 Стартуем в 12:00 МСК Если давно

Showing the 12 most recent of 20 posts we hold for @redsmmnews. 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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“RED NEWS | НейроШопсоАвгуст” (@redsmmnews), 2,905 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/redsmmnews.

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.