Скандалы, 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.
Created
Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
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
Window
30 days (31 July 2026 – 30 August 2026)
Posts measured
73 of 73 published in the window (73 exact, 0 rounded by Telegram)
Views totalled
1,062
Mature posts only
0.049% over 70 posts read at least 24h after publication
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
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)
Subscribers
Change
29 Aug 2026, 19:43
30,567
-41
28 Aug 2026, 18:52
30,608
-47
27 Aug 2026, 18:54
30,655
-24
26 Aug 2026, 18:17
30,679
-53
25 Aug 2026, 15:55
30,732
-38
24 Aug 2026, 17:06
30,770
-62
22 Aug 2026, 23:26
30,832
-54
21 Aug 2026, 13:49
30,886
-49
20 Aug 2026, 12:48
30,935
-28
19 Aug 2026, 14:34
30,963
-38
18 Aug 2026, 17:52
31,001
-45
17 Aug 2026, 20:16
31,046
-57
16 Aug 2026, 15:58
31,103
-103
14 Aug 2026, 21:25
31,206
-64
13 Aug 2026, 15:37
31,270
-24
12 Aug 2026, 15:54
31,294
-50
11 Aug 2026, 19:18
31,344
-80
10 Aug 2026, 16:34
31,424
-45
9 Aug 2026, 15:11
31,469
-41
8 Aug 2026, 16:18
31,510
first reading
Engagement
73 posts held, back to 4 August 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 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
Window
Rolling 30 days · latest post in window 29 August 2026
Posts held
73 (4 August 2026 – 29 August 2026)
Views total
1,090
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 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.
🔥 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
🔥 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
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…
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-…
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-…
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
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…
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…
↩️ 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 — …
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 …
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.
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@LifeScandal named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@po_yica_bral named in 5 posts, 15 August 2026 – 21 August 2026 · confirmed gone 12 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.