This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
3 measurements spanning 4 days, net -2. 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 3,277–3,279 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 07:51
3,277
-2
6 Aug 2026, 16:34
3,279
no change
6 Aug 2026, 16:29
3,279
first reading
Engagement
17 posts held, back to 28 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.95%
avg views ÷ 3,277 subscribers
Avg views / post
228
8 posts measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
8
of 17 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 29 July 2026
Posts held
17 (28 May 2026 – 29 July 2026)
Views total
1,821
Reactions total
24
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:31 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.
Reaction mix
93 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 48.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
45
48.4%
👍
28
30.1%
🐳
10
10.8%
custom 5866369239740320716
6
6.45%
custom 5884325029126081591
3
3.23%
🤣
1
1.08%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 16 of the 17 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 93reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 28 May 2026 to 29 July 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
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @many_btc. 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 17 most recent posts we hold for this entry, published 28 May 2026 to 29 July 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.
📈Стабильно забирать иксы на текущем рынке стало для нас уже обычным делом.
Да, иногда приходится ждать. Иногда терпеть. Иногда смотреть, как цена ходит вокруг точки входа, и не закрываться раньше времени. Но именно так и зарабатываются действительно большие движения.
И мы делаем это уже более полугода, пока большинство продолжает искать "идеальный момент".
Вы думаете, это просто удачный анализ?
Нет!
Еще в феврале …
Когда у тебя ничего нет - ты можешь замахнуться на невозможное. Потому что тебе нечего терять.
И это делает тебя опасным.
=
Люди сильно недооценивают сколько попыток можно сделать, когда на кону ничего нет.
🚀 Долгожданный обзор проп-фирмы Upscale уже здесь! — СМОТРЕТЬ
В новом ролике мы разобрали:
📊 Статистику Neocart AI Signals
💼 Как приобрести проп-аккаунт и какие преимущества он дает
🔥 Почему проп-трейдинг может стать отличным инструментом для развития вашей торговой стратегии
Важно!
При покупке проп-аккаунта от $10 000 по нашей реферальной ссылке вы получаете 🎁 бесплатный доступ в канал Neocart AI Signals.
Что в…
🆙 Мой личный проп-счёт и челлендж в Upscale
Рынок проп-трейдинга сейчас переживает настоящий бум. Если в 2021 году это была нишевая история, то к 2025 году объем индустрии достиг $30 млрд, показав рост в 1000% за последние 3 года.
Почему все там? Статистика говорит, что уже более 15 млн человек выбирают пропы. Главный триггер - возможность управлять капиталом до $200,000+, рискуя лишь стоимостью челленджа (от $69),…
🗣 «В рынке нет денег» — говорят одни.
А наши клиенты тем временем показывают вот это 👇
📊 Аккаунт с нами с марта 2026
💰 Баланс: 124 791.74 USDT
📈 За всё время: +68 443.52 USDT (+55.49%)
🔥 Июль: +13 625.82 USDT (+11.05%) — и месяц ещё не закончен
При этом максимальная просадка за всё время — всего 17%.
Не идеальная прямая вверх, не сказки про «иксы за неделю». Реальные красные и зелёные дни, реальная торговля, р…
💱Как я решил вопрос ввода/вывода крипты в рубли без нервов
Тема больная: законодательство вокруг крипты и обменников ужесточается почти везде, многие сервисы либо закрываются, либо попадают под пристальное внимание из-за AML. Расскажу, как организовал это для себя — возможно, кому-то пригодится.
Использую Whitebird — сервис, связанный с Парком высоких технологий Беларуси. РБ в целом лояльна к крипте на законодательн…
🤩 Биржа WEEX не стоит на месте!
Мало того что это биржа с огромной ликвидностью и объёмами — теперь ещё и сотни инструментов TradeFi 📈 (вы понимаете, о чём я).
А с 09.07.2026 00:00:00 по 23.07.2026 23:59:59 — челлендж за торговлю активами TradeFi! Делим призовой фонд в $50,000 ✔️
Регистрация - https://www.weex.com/ru/register?vipCode=neocart
Ждем 70 реакций под данным постом по ссылке https://t.me/neocarttrading/1441
И начнем эксперимент который покажет что при грамотном подходе заработать можно и не плохо 🤩
Долгожданная запись нашей прошлой трансляции!
https://youtu.be/BtU-6guNQWM
🔥2
Showing the 12 most recent of 17 posts we hold for @many_btc. 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.
Citation-graph rank
Citation-graph rank — 580,784 of 1,151,006entries 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
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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Engage ADS on Ton @EngageADS · 338,029 Telegram ranks this channel #6 of 85 here — alongside 84 others — read 10 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Биткоин с нуля с Александром Виноградовым” (@many_btc), 3,277 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/many_btc.
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.