Channel
@Crypto_Influence
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Advertising · Posts · Citations · Cite this entry
1,413subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001283638812 |
|---|---|
| Type | Channel |
| Username | @Crypto_Influence |
| Created | Between 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/Crypto_Influence |
Other / unclassifiable — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 50% 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.
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.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @Traffik_Shell | 11 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (9–2) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 21 May 2025 to 16 February 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @Crypto_Influence — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 21:05 | 1,413 | +1 |
| 7 Aug 2026, 05:16 | 1,412 | no change |
| 7 Aug 2026, 05:09 | 1,412 | first reading |
20 posts held, back to 21 May 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 16 February 2026. An engagement rate over an empty window would be a number about nothing.
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2 of the 20 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 21 May 2025 to 16 February 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 20 most recent posts we hold, published 21 May 2025 to 16 February 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
EngiSight — инструмент для проверки креативов на триггеры модерации перед заливом. Загружаем исходник и получаем детальный отчет с уровнями риска по чувствительным темам: адалт, гемблинг, жестокие сцены и т.д.
Signed Julia 🌙
Илон Маск на следующий день после того, как стал первым человеком в истории с состоянием более $800 млрд Все, расходимся
Signed Daniel
Айтишники, это вам — в телеграм есть комьюнити по каждому направлению в IT Там есть буквально всё: чаты для общения, тонны материала(книги, курсы, ресурсы и гайды), свежие новости и конечно же мемы Выбирайте своё направление: 💩 Frontend 🐍 Python 🐧 Linux 👩💻 С/С++ 👩💻 C# 🤔 Хакинг & ИБ 📱 GitHub 🖥 SQL 👩💻 Сисадмин 🤟 DevOps ⚙️ Backend 🖥 Data Science 🧑💻 Ja…
❤1
Signed Daniel
Вот вам и децентрализация 😌. Cloudflare прилег, а вместе с ним и пол интернета.
Signed ДАNU
Кажется, график падения Биткоина хочет нам что-то сказать. @exploitex
Signed Daniel
Хомяки, просыпаемся: монета HMSTER внезапно ракетит на +50%. Тем временем вся остальная крипта летит на дно. Все-таки не зря тапали. @exploitex
Signed Daniel
Павел Дуров устроил стендап на конференции Blockchain Life в Дубае «Поднимите руку, кого заскамили через Telegram Mini Apps?» — рук много «Неожиданно. Я лично не знаю ни одного. Зато все мои друзья стали богаче»
Signed Daniel
В Telegram можно будет майнить официально — Павел Дуров анонсировал децентрализованную сеть для запуска и разработки нейросетей Cocoon. Внутри сети можно безопасно арендовать нужное количество видеокарт, владельцы которых получат вознаграждение в TON. Первый клиент уже есть — сам Telegram. Прямо сейчас команда собирает заявки от владельцев серверов.
Signed Daniel
Правильно я понимаю что можно рассчитывать на рост ТОНа в эти даты?
Signed Daniel
Анонимный трейдер заработал $88 млн всего за полчаса. Он открыл крупную позицию на падение биткоина ровно за 30 минут до того, как Дональд Трамп объявил о новых пошлинах против Китая — после чего рынок рухнул. Аккаунт трейдера был создан всего за несколько дней до сделки. 🇺🇸Дядя Сэм
Signed ДАNU
Сон — главный ресурс предпринимателя, и он пока бесплатный Как высыпаться, чтобы быть продуктивным Честно — я долгое время недооценивал сон. Думал: «успеть все важнее, чем поспать». Но чем больше становились нагрузки, тем яснее понимал: без качественного сна ты не предприниматель, а медленный, вялый и раздраженный пассажир собственного бизнеса Вот что важно знать, если хотите просыпаться в ресурсном состоянии: Н…
Signed Daniel
MWS AI выпустил свою первую мультимодальную нейронку Cotype VL — новинку лично презентовал гендир компании Денис Филиппов на Финополисе. Разработали её для бизнеса: она одновременно работает с текстом и изображениями. Может сравнивать чертежи, выявлять в них ошибки, распознавать товары и документы по фото, составлять отчеты, опираясь на скриншоты и визуал. Модель знает английский, русский и даже китайский. @exploi…
Signed Daniel
Showing the 12 most recent of 20 posts we hold for @Crypto_Influence. 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Crypto Influence” (@Crypto_Influence), 1,413 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Crypto_Influence.
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.