Telegram RegisterThe public register of Telegram

Channel

ANTI SCAM (Ru)

@remove_scamming

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

10,723subscribers

+287 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-1002192237187
TypeChannel
Username@remove_scamming
DescriptionОтчищаем рынок от палепродов, продавцов скам-боксов и других мошенников. Вас обманули? Кинули? Прислали не тот товар? Дать огласку: @ANTI_SCAM_78 *Канал носит информационный характер с единственной целью уберечь людей от мошенничества.
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/remove_scamming

Growth

10,42510,72310,5747 August 2026 — 10,436 subscribers7 August 2026 — 10,436 subscribers8 August 2026 — 10,434 subscribers9 August 2026 — 10,431 subscribers10 August 2026 — 10,426 subscribers11 August 2026 — 10,427 subscribers13 August 2026 — 10,425 subscribers14 August 2026 — 10,723 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net +287. 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 10,380–10,768 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:4510,723+298
13 Aug 2026, 12:0510,425-2
11 Aug 2026, 10:2710,427+1
10 Aug 2026, 07:2510,426-5
9 Aug 2026, 07:5210,431-3
8 Aug 2026, 04:1010,434-2
7 Aug 2026, 18:0110,436no change
7 Aug 2026, 17:5210,436first reading

Engagement

7 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.7%
avg views ÷ 10,723 subscribers
Avg views / post
1,360
7 posts measured
Reaction rate
0.491%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 5 of 7 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held7 (30 July 202614 August 2026)
Views total9,514
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 17:46 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
3,190
Videos
32
Links
360

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

37 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 64.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💔2464.9%
👍410.8%
🔥38.11%
🤩38.11%
🥰25.41%
🤯12.70%

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 5 of the 7 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 30 July 2026 to 14 August 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 7 we hold a reading for · 29%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @remove_scamming. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 7 most recent posts we hold for this entry, published 30 July 2026 to 14 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

14 Aug 2026, 15:02 UTC902 viewsread 15 August 2026
Photo

Откровенный скам от канала GLANCE.WEAR ( https://t.me/glanceeewear , @glancedm ) В январе решил заказать джинсы и лонгслив Jaded London в данном магазине за 820 бун (~22.800₽). Был уверен в них, так как этот магазин раньше был очень популярным в РБ. Обещали доставку в течение 8-12 дней, но прошел месяц, и мне сказали, что моя вещь будет в следующей посылке. Это затянулось до апреля, и в итоге написали, что перевозчи

12 Aug 2026, 14:30 UTC≈1,930 views11 reactions1 Starread 15 August 2026
Photo

Casual’s.Closet СКАМ на состояние вещей, указано 8/10, приходит 4-5/10, 2 жалобы 3 жалоба - черный список @casualclst ❌❌❌

💔11

11 Aug 2026, 16:45 UTC≈2,030 views15 reactions1 Starread 15 August 2026
Photo

Безразличное отношение от канала BB Clothes ( https://t.me/BBshmotki, @IllIIIllllIIIIIllllll ) Искал себе шмотку на др, чтобы себя побаловать, и нашел один шоп с неплохими вещами. Этот канал был у меня в подписках, так как он участвовал в каком-то гиве. Я выбрал для себя футболку Number Nine, которая напоминала мои отношения, и сразу написал, что хочу ее купить. Я оплатил заказ за 6.000₽, но вскоре узнал, что футбо

💔13🥰2

9 Aug 2026, 15:00 UTC≈1,070 viewsread 13 August 2026
Photo

Откровенный скам от канала goopshp ( https://t.me/+0PAh53wHFidmOWEy, @goopmanager ) Я увидел рекламу в популярном тгк и решил зайти в приват по лоуболам. Заказал там Maison Margiela на общую сумму около 13.000₽, если не ошибаюсь. Продавец принял оплату через Alipay и казался нормальным. Он сказал, что доставка не будет очень быстрой, но и не займет много времени. В итоге посылка ехала к нему около двух месяцев. Про

7 Aug 2026, 16:05 UTC942 views3 reactionsread 10 August 2026
Photo

World Of Poizon - мир пойзон ( https://t.me/WorldOfPoizon, @DimaOfWorld, @ReviewOfWorld, @WorldOfPoizonBot ) Классическая схема скама сети каналов Poizon. В один из обычных дней мне написал человек, который предложил мне промокод на товары бесплатно. Я сразу подумал, что это скам, но решил проверить канал. На первый взгляд он выглядел вполне натурально: у него было много просмотров, он долго существует, есть бот, а

🤩3

3 Aug 2026, 15:03 UTC≈1,220 views5 reactionsread 9 August 2026
Photo

Откровенный скам от GucciBalenciagaVetements ( https://www.avito.ru/user/83af3c93c55df6314f050e70b7061d9b/profile?src=sharing ) Нашел объявление на Авито о продаже худи Enfants Riches Deprimes School Days 23SS. Цена была очень привлекательная 27.500₽. Общение складывалось нормально, продавец не давал поводов заподозрить его в скаме. Он говорил, что срочно нужны деньги. Продавец сказал, что ожидает предоплату от друг

👍4🤯1

30 Jul 2026, 15:32 UTC≈1,420 views3 reactionsread 9 August 2026
Photo

Откровенный скам от канала аrchive.fashion ( https://t.me/archivefashioni, @archciznia, https://www.tiktok.com/@archivefeshin?_r=1&_t=ZS-95y6bJdUVLY Я нашла магазин через аккаунт в ТТ и долгое время следила за тгк. Решила приобрести ASH Vito. С продавцом я списалась 11 июля и в течение двух недель общалась с ним, так как он отвечал раз в день, а то и реже. Я оплатила 8.600₽. Сначала они просили перевести деньги по Q

🔥3

Showing the 7 most recent of 7 posts we hold for @remove_scamming. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@remove_scamming edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
15 August 2026
Most recent edit
15 August 2026

Citation-graph rank

Citation-graph rank — 101,042 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Named by 4 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.

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

“ANTI SCAM (Ru)” (@remove_scamming), 10,723 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/remove_scamming.

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.