Делюсь с вами важной инфой по 161 ФЗ ❗️ РОСТ ВОЗВРАТОВ В ГЕМБЛИНГЕ И ОБМЕННИКАХ. МЕТОДЫ ЗАЩИТЫ. В последнее время в сегментах онлайн‑казино и обменников наблюдается рост числа возвратов платежей по 161‑ФЗ и связанных с ним чарджбеков. Проблема частично связана с распространением схем метчинга и «белых треугольников», а также с активностью недобросовестных пользователей, парсеров и организованных злоумышленников. …

Channel
ProfProcessing
@profproc1
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
12,261subscribers
-226 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 | -1002174889315 |
|---|---|
| Type | Channel |
| Username | @profproc1 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/profproc1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 09:16 | 12,261 | -21 |
| 2 Sept 2026, 05:52 | 12,282 | -10 |
| 1 Sept 2026, 04:07 | 12,292 | -6 |
| 31 Aug 2026, 01:47 | 12,298 | -2 |
| 30 Aug 2026, 05:17 | 12,300 | -12 |
| 29 Aug 2026, 03:42 | 12,312 | -14 |
| 28 Aug 2026, 03:25 | 12,326 | -2 |
| 27 Aug 2026, 03:54 | 12,328 | -2 |
| 26 Aug 2026, 03:34 | 12,330 | +2 |
| 25 Aug 2026, 00:38 | 12,328 | -13 |
| 23 Aug 2026, 14:25 | 12,341 | -11 |
| 22 Aug 2026, 04:16 | 12,352 | -10 |
| 20 Aug 2026, 18:22 | 12,362 | -7 |
| 19 Aug 2026, 18:03 | 12,369 | -4 |
| 18 Aug 2026, 21:22 | 12,373 | -18 |
| 17 Aug 2026, 20:37 | 12,391 | -7 |
| 16 Aug 2026, 18:35 | 12,398 | -22 |
| 15 Aug 2026, 07:33 | 12,420 | -18 |
| 13 Aug 2026, 23:34 | 12,438 | -12 |
| 12 Aug 2026, 14:54 | 12,450 | first reading |
Engagement
57 posts held, back to 2 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 46 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.09%
- avg views ÷ 12,261 subscribers
- Avg views / post
- 1,110
- 41 posts measured
- Reaction rate
- 0.314%
- reactions ÷ views · ER floor
- Posts in window
- 43
- of 57 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. It is computed over the 24 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 57 (2 August 2026 – 2 September 2026) |
| Views total | 45,707 |
| Reactions total | 86 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 22:40 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.
Reaction mix
90 reactions across 21 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 45 | 50.0% | |
| 🔥 | 40 | 44.4% | |
| 👍 | 5 | 5.56% |
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 25 of the 57 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 2 August 2026 to 2 September 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.
Recent posts
Внимание ‼️ Команды, кто работают по метчингу, будьте аккуратны! Обязательно проверяйте служебные заголовки при получении чека на почту! Скамеры стали подделывать галочку !
Делюсь реальным объемом наших команд, обработанным метчингом 👍 Пока все в рынке жалуются на слабый трафик по приему с PDF и оправдывают это тем, что лучше стоять на давних платегах, обрабатывая мизер чеками 2-5к, мы пашем дальше на лучших условиях 🤷 Выше я закинул вчерашнюю выгрузку объема по части наших команд за 28.08. На них видно, что средний объем приема 700-900к рублей, а это ~ 50.000р чистой прибыли в сутки…
❤4
Ещё не на ГУ в GAZ TRADE? 👀 Один день работы: Обработано — 547 353₽ Выручка — 93 348₽ Эффективность — 18,622% Чистая прибыль — 82 116₽ При сохранении темпа за месяц: 💼Обработано ≈ 16 421 000₽ 💸Выручка ≈ 2 800 000₽ 💰Чистая прибыль ≈ 2 463 000₽ Такие результаты возможны только с правильной инфраструктурой и лучшими условиями на рынке. Что важно:👇 ✅Вход — 13% ✅P2C-откупы — 4% ‼️Круг — 17% GAZ TRADE — всё необходимо…
😎 ОТКРЫТ НАБОР ТРЕЙДЕРОВ 📏📏📏📏📏📏📏📏📏📏📏📏 ✅ Обменивайте USDT от курса Rapira +13-14%! ❤️🔥 Устали видеть площадки, где требуют страховой депозит, затягивают подключение на дни и оставляют вас один на один с проблемами? 📏📏📏📏📏📏📏📏📏📏📏📏 😱 В MIDAS всё иначе. 🔥 Без страхового депозита 🔥 Быстрое подключение и выдача личного кабинета 🔥 Поддержка 24/7 на всех этапах работы 🔥 Собственная инфраструктура и стабильный поток з…
Ищем поставщика материала 🇰🇬 Сейчас остро нуждаемся в М-банке на кгс, которые регнуты на граждан узбекистана. Если у вас есть поставщики такого материала - @lev_profprocessing Будем очень благодарны !
❤2
Делюсь математикой и суточным объемом! Как и обещал, выше закинул скрины суточного успеха по методу ПРИЕМА КЗ БТ🤷 Математика выходит такая: Что не имея постоянников в среднем можно за сутки на одном токене обернуть 5к$ под 4% работая только на одной из бирж. 1 Воркер оборачивает 5000*4%=200 $ чистого заработка. 200$ * 30=6 000 $ в месяц, чем вам не математика 🤷♂️ Работа выстраивается достаточно несложно, все …
Делюсь опытом работы по приему БТ КАЗАХСТАН 🫨 Еще давно мы со своей командой поднимали тему работы по приему бт в разных гео. Перепробовав много вариантов остановились на Казахстане, выстроили работу, нашли самые лучшие условия в рынке, нашли опытных менторов и запустили эту телегу! Почему Казахстан ? - рынок снг относительно нестабильный, но в Казахстане есть Мерчанты онлайн покера, у которых идут стабильно и еже…
🔥27❤3
Всё для результата 🦾 БТ, МобКом, ГУ/Фермы — выбирайте метод под свою стратегию и забирайте объём на лучших условиях. Что важно 👇 🇷🇺 RUB 👑БТ • Ставка — 8% (1 000₽ - 5 000₽ — 10%) • Средний объём — 1 500 000₽+ в сутки • Конверсия — 70%+ • Моментальный вывод USDT 🛞МобКом • Ставка — 16,3% • Откупы — 1/1 • Проверенный канал SIM-карт 💼ГУ / Фермы • Курс — Rapira 0 / +13% • P2C Выплаты — Rapira 0 / +4% • Полный круг — …
Очень много команд жалуются на просадки по методу ПРИЕМА С PDF 🤷🤷🤷 А у нас есть решение!
Все идут к нам на вход с PDF — и не просто так! Мы даём реально большие объёмы и при этом закрываем одну из главных проблем рынка: мерчи несут ответственность за фейковые чеки. В итоге вы получаете качественный трафик без постоянного риска, что завтра у вас заберут выплаты из-за чужого скама. Плюс — минимум проблем для клиентов, в том числе связанных с 161-ФЗ. Практически каждый, кто уже встал к нам и попробовал р…
👍4🔥4❤3
ГУ/Фермы 💚— меняют правила игры Максимум трафика. Максимум возможностей. GAZ TRADE 👑 📈Кейс за 24 часа: Обработано — 702 038₽ Выручка — 116 420₽ Эффективность — 20% Чистая прибыль — 102 020₽ Это более3️⃣млн ₽ чистой прибыли в месяц ⚡️ Что важно для вас:👇 ✅ Вход — 13% ✅ P2C-откупы — 4% ‼️Круг — 17% Автоматизированные P2C-откупы в ЛК 💚 Вам не нужно ждать ордер, постоянно следить за поиском или вручную подтверждать…
Showing the 12 most recent of 57 posts we hold for @profproc1. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“ProfProcessing” (@profproc1), 12,261 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/profproc1.
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.