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Channel

Афф Скандал — громкие истории и расследования CPA-индустрии

@LifeScandal

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

30,567subscribers

-1,021 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001791755317
TypeChannel
Username@LifeScandal
DescriptionСкандалы, разборки и расследования CPA-индустрии: кто кого кинул на холде, кто слил базу, кто крутит ботов в кабинете. Истории с пруфами, без анонимных вбросов. Партнёрки, арбитраж, iGaming. Канал сети public.tg.
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held22
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/LifeScandal

Topic

Marketing & affiliate — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 93% 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.

Views per post sit far below this size band

14.5 average views per post against 30,567 subscribers — an engagement rate of 0.048%. Across the 25,178 registered channels in the same cohort — 10,001–31,619 subscribers, posting mainly in Russian — the middle half sit between 5.72% and 23.1%, with a median of 11.7%.

What this was computed from
Window30 days (31 July 2026 30 August 2026)
Posts measured73 of 73 published in the window (73 exact, 0 rounded by Telegram)
Views totalled1,062
Mature posts only0.049% over 70 posts read at least 24h after publication
Subscribers30,567 measured 29 August 2026
Cohortb10000:rus · 25,178 channels · p10 2.88% · p25 5.72% · p50 11.7% · p75 23.1% · p90 41.4%
Position in cohort0.091th percentile · 1/250 the cohort median
Uncertainty±0.094% of the figure, from Telegram’s rounding
Post languageRussian · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_low, last confirmed 30 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.

Growth

30,56731,58831,077.57 August 2026 — 31,588 subscribers7 August 2026 — 31,588 subscribers8 August 2026 — 31,510 subscribers9 August 2026 — 31,469 subscribers10 August 2026 — 31,424 subscribers11 August 2026 — 31,344 subscribers12 August 2026 — 31,294 subscribers13 August 2026 — 31,270 subscribers14 August 2026 — 31,206 subscribers16 August 2026 — 31,103 subscribers17 August 2026 — 31,046 subscribers18 August 2026 — 31,001 subscribers19 August 2026 — 30,963 subscribers20 August 2026 — 30,935 subscribers21 August 2026 — 30,886 subscribers22 August 2026 — 30,832 subscribers24 August 2026 — 30,770 subscribers25 August 2026 — 30,732 subscribers26 August 2026 — 30,679 subscribers27 August 2026 — 30,655 subscribers28 August 2026 — 30,608 subscribers29 August 2026 — 30,567 subscribers7 August 202629 August 2026
22 measurements spanning 22 days, net -1,021. 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 30,414–31,741 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
29 Aug 2026, 19:4330,567-41
28 Aug 2026, 18:5230,608-47
27 Aug 2026, 18:5430,655-24
26 Aug 2026, 18:1730,679-53
25 Aug 2026, 15:5530,732-38
24 Aug 2026, 17:0630,770-62
22 Aug 2026, 23:2630,832-54
21 Aug 2026, 13:4930,886-49
20 Aug 2026, 12:4830,935-28
19 Aug 2026, 14:3430,963-38
18 Aug 2026, 17:5231,001-45
17 Aug 2026, 20:1631,046-57
16 Aug 2026, 15:5831,103-103
14 Aug 2026, 21:2531,206-64
13 Aug 2026, 15:3731,270-24
12 Aug 2026, 15:5431,294-50
11 Aug 2026, 19:1831,344-80
10 Aug 2026, 16:3431,424-45
9 Aug 2026, 15:1131,469-41
8 Aug 2026, 16:1831,510first reading

Engagement

73 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 49 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.049%
avg views ÷ 30,567 subscribers
Avg views / post
14.9
73 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
73
of 73 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 29 August 2026
Posts held73 (4 August 202629 August 2026)
Views total1,090
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 07:04 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
250
Videos
62
Links
328

Lifetime counters from Telegram’s own channel header, read 30 August 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
3m 26s
Average length
29s

Measured directly from 7 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.

Recent posts

29 Aug 2026, 14:10 UTC10 viewsread 30 August 2026

🔥 justbrand_create — новый участник рейтинга НеТОП на AffPapa! 🏆 Своё место в топе честно купил justbrand_create: https://affpapa.org/netop/go/28?src=broadcast 💰 Ставка: $111 · сейчас #1 в рейтинге Весь рейтинг → https://affpapa.org/netop

29 Aug 2026, 09:45 UTC12 viewsread 30 August 2026

🔥 Новый участник НеТОПа на AffPapa! https://affpapa.org/netop 🏆 НеТОП на AffPapa — https://affpapa.org/netop/go/27?src=broadcast Платный рейтинг индустрии: плати больше — стоишь выше. Займи место в топе за USDT. 💰 Ставка: $100 · сейчас #1 в рейтинге

29 Aug 2026, 07:06 UTC9 viewsread 30 August 2026

Как спорят о ZRD и Meta-фроде, когда у обеих сторон есть свои скриншоты В таких кейсах почти никогда нет одной «истины в лоб»: одна сторона показывает отклонённые лиды и блоки, другая — свои логи, креативы и переписку с менеджером. Скандал начинается не с фрода, а с разной трактовки одного и того же трафика. Что обычно проверяют в открытых разборках: — совпадает ли источник трафика с тем, что был согласован; — есть

28 Aug 2026, 15:06 UTC14 viewsread 30 August 2026
Video

Топ 5 PWA-сервисов для залива дейтинга Статья показывает, что PWA выгодны не только для гемблы: в дейтинге они дают пуш-базу, больше траста и помогают маскировать оффер под бренд. Главный выбор зависит от цены инсталлов и теста GEO: для старта лучше бесплатные или дешёвые решения, а Progressier выделяется как самый практичный вариант для залива дейтинга. ➡️ Читайте на сайте: https://aff.top/blog/top-5-pwa-servisov-

28 Aug 2026, 11:49 UTC8 viewsread 30 August 2026
Video

Google выпустил Gemini Omni 1.1 Flash Google обновил Gemini Omni для генерации видео: модель умеет продолжать сцены с учётом до 10 секунд контекста и собирать ролик до 40 секунд, работать по референсу и делать переходы между кадрами. Главный вывод — инструмент стал практичнее для продакшена, а посекундная цена делает его заметно доступнее для тестов и рабочих задач. ➡️ Читайте на сайте: https://aff.top/blog/google-

28 Aug 2026, 11:09 UTC6 viewsread 30 August 2026
Video

В роликах Youtube теперь можно рекламировать товары Amazone ➡️ Читайте на сайте: https://aff.top/blog/v-rolikakh-youtube-teper-mozhno-reklamirovat-tovary-amazone 🧠 Ещё больше инсайтов → в канале AFF.top

28 Aug 2026, 07:05 UTC9 viewsread 30 August 2026

Как доказывают увод базы вебмастеров, когда в руках только открытые следы Скандал с «уводом базы» почти всегда начинается одинаково: одна сторона говорит, что контакты и связки ушли к конкуренту, другая отвечает, что совпадения случайны. В публичном поле важен не громкий ярлык, а цепочка косвенных признаков. Смотрите на то, что можно проверить без доступа к внутренней CRM: — одинаковые шаблоны писем и офферов; — со

27 Aug 2026, 06:48 UTC19 viewsread 30 August 2026

Возвратные лиды: где чаще всего начинается спор между вебом и ПП Возвратные лиды — одна из самых частых причин конфликтов в CPA: веб видит аппрув, партнёрка — возврат, а между ними пустота в объяснениях. Чтобы не гадать, проверьте три точки: — как в правилах описан статус возврата и срок его появления; — кто фиксирует причину: колл-центр, advertiser или сама ПП; — можно ли сопоставить каждый возврат с конкретным ли

26 Aug 2026, 14:31 UTC16 viewsread 30 August 2026

↩️ Пост из @panarina_look: Щербина второй час стоит на гравийной парковке отеля в шпильках 12 см. Каблуки уже наполовину внутри, Щербина — снаружи, но недолго 👠 Вайб: попытка изобразить «я приехала на приём», реальность — «я приехала за приёмом травматолога». Каждый шаг — как в замедленной съёмке фильма ужасов. Щербиночка, солнышко, шпильки красивые, спорить не будем. Но ты уже утонула на 4 сантиметра. Ещё чуть —

26 Aug 2026, 06:49 UTC19 viewsread 30 August 2026

Как распознать партнёрку в нутре, которая закроется с зависшими балансами В нутре самый болезненный сценарий — не просадка по офферу, а публичное закрытие кабинетов и зависшие выплаты. Обычно это не «внезапно»: перед этим всплывают одинаковые признаки, и их можно проверять без гаданий. Смотрите на три зоны: — выплаты расписывают «после ручной проверки» и не дают внятный регламент; — саппорт уходит от конкретики по

25 Aug 2026, 13:47 UTC16 viewsread 30 August 2026
Photo

Иногда мне кажется, что я работаю не в iGaming, а в похоронном бюро. Каждый день кто-то приносит очередной продукт и говорит: «У нас почему-то падает LTV.» Потом открываешь аналитику и понимаешь, что игроки предупреждали об этом ещё месяц назад. Просто никто не слушал. Я — Head of Retention. И в своём канале разбираю ошибки, из-за которых команды месяцами теряют LTV, даже не замечая этого.

25 Aug 2026, 09:07 UTC17 viewsread 30 August 2026
Photo

ВПЕРВЫЕ! ТОЛЬКО ОДИН ВЕЧЕР! 🫥ПИАР-ВОЙС В ЭТОМ ЧАТЕ🫥 Участников никто не знает. Откуда они? Хуй его знает. Темы — просто пиздец! • Аналитика на двух лидах • Слив анлим бюджетов • Как просрать медийку • Где найти нормальную работу • Как закупиться себе в карман ⚡ Все это для тех, кто придет на ВОЙС Как делать PR, маркетинг и деньги в арбитраже трафика На котором обсудим: • На что компании еще готовы тратить деньги

Showing the 12 most recent of 73 posts we hold for @LifeScandal. 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

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

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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“Афф Скандал — громкие истории и расследования CPA-индустрии” (@LifeScandal), 30,567 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/LifeScandal.

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.