Channel
@scammers_obman
On this record: Growth · Engagement · Posts · Citations · Cite this entry
249subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002087704113 |
|---|---|
| Type | Channel |
| Username | @scammers_obman |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/scammers_obman |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 09:56 | 249 | -1 |
| 8 Aug 2026, 09:31 | 250 | no change |
| 7 Aug 2026, 19:21 | 250 | first reading |
10 posts held, back to 17 May 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 31 July 2026 |
|---|---|
| Posts held | 10 (17 May 2026 – 31 July 2026) |
| Views total | 3,430 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 09:31 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.
#Уроки від MEGA Техніки 📚 Сьогодні на огляді два шахрайські магазини: 📌 https://t.me/electtromarket 📌 https://t.me/imperium_te Те, що подібні «магазини» роками крадуть у нас фото, відео та ідеї, вже давно нікого не дивує. Але сьогодні мова піде не про це. Сьогодні поговоримо про штучний інтелект. 😅 Хочемо трішки навчити вас помічати те, на що шахраї навіть не звертають уваги. 1️⃣ Фото №1 Перед вами наше фото, …
Напевно ми будемо закривати цю рубрику Нікому не цікаво що ми викладаємо А приходять тільки на нас писати або скидати коли їх вже обмануть І останній цвях в кришку ось що знайшли Відео у менеджера шахраїв цієї людини Но в описі наша назва На цьому з нас достатньо
І в добавок ще горе шахраї На скільки тупі що навіть не намагаються перекрити візитку з нашим посиланням А відправка за 5 число у них 6)) А потім у нас в особистих "ой а я таке про вас читала")))
Наглядний приклад як шахраї крадуть та накладають свої візитки, но жодного кружка чи відео ви не знайдете. Будь ласка будьте обережні
🔴Друзі будьте уважні, ці шахраї малого того що кидають людей на кошти, так вони ще і підставляють їх. Ось їх друга сторінка через яку вони шукають людей, які приймають кошти собі на карту, ці грязні кошти. Потім на ту людину пишуть в поліцію, блокують рахунки. ✅Будь ласка перешліть це рідним та близьким щоб вони не попалися на таку "Роботу без вкладень"
https://t.me/zevsishops11
Вашим именем магазина и так же вашими постами пользуются мошенники
Я думаю если вы полистаете этот канал то вы увидите свои же посты
Що ж поробиш коли ні товару ні розуму ні совісті. Друзі будьте обережні Бо інст ми їм забанили, но вони намагаються через тік ток обманювати
🌙 Доброго вечора, друзі На вечір трішки гарних новин 🙌 Ми вже неодноразово викладали цих шахраїв, які постійно змінювали назву свого Instagram-магазину, щоб обманювати людей. І ось нарешті їхній акаунт заблокували ✅ Після цього вони одразу створили нову сторінку, але ми швидко передали Instagram усі докази — і новий акаунт також отримав бан 🚫 Невелика, але все ж перемога 🤝 Сподіваємось, що завдяки цьому буде трохи…
Showing the 10 most recent of 10 posts we hold for @scammers_obman. 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.
Citation-graph rank — 673,664 of 1,169,250entries 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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Шахраї” (@scammers_obman), 249 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/scammers_obman.
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.