Channel
@blockchaingerman
On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Advertising · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
32,201subscribers
-1,366 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001293287526 |
|---|---|
| Type | Channel |
| Username | @blockchaingerman |
| Description | Полезная информация о крипте ads only: @MADBiLL trading group (read rules): @german_intraday_bot trading app: https://pump.fun/u/oTdbTo |
| Created | 12 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 66 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/blockchaingerman |
Crypto & trading — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 82% 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 the other topics.
Recorded in 2019 as “Герман на блокчейне” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 00:11 | 32,201 | -54 |
| 9 Nov 2026, 11:15 | 32,255 | -22 |
| 8 Nov 2026, 04:08 | 32,277 | -27 |
| 7 Nov 2026, 01:29 | 32,304 | -17 |
| 6 Nov 2026, 01:18 | 32,321 | -18 |
| 4 Nov 2026, 21:41 | 32,339 | -21 |
| 3 Nov 2026, 19:57 | 32,360 | -21 |
| 2 Nov 2026, 18:54 | 32,381 | -18 |
| 1 Nov 2026, 18:49 | 32,399 | -9 |
| 31 Oct 2026, 19:18 | 32,408 | -18 |
| 30 Oct 2026, 21:55 | 32,426 | -17 |
| 29 Oct 2026, 23:17 | 32,443 | -24 |
| 29 Oct 2026, 00:55 | 32,467 | -13 |
| 27 Oct 2026, 21:49 | 32,480 | -13 |
| 26 Oct 2026, 20:51 | 32,493 | -14 |
| 25 Oct 2026, 17:56 | 32,507 | -1 |
| 24 Oct 2026, 21:16 | 32,508 | -13 |
| 23 Oct 2026, 23:27 | 32,521 | -8 |
| 22 Oct 2026, 23:56 | 32,529 | -5 |
| 21 Oct 2026, 22:49 | 32,534 | first reading |
438 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 190 pages of 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 11 November 2026 |
|---|---|
| Posts held | 438 (2 August 2026 – 11 November 2026) |
| Views total | 249,249 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 15:57 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.
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Measured directly from 11 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
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 438 most recent posts we hold, published 2 August 2026 to 11 November 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.
Telegram’s own ‘edited’ marker: 1 of 112 posts held from the last 30 days (0.893%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#DacityCoin (AudaCity) Rockstar Games выложили новый ролик, где засветили лого и название токена, судя по всему этот токен - DKYcjobF7HPtL9RyQBRdeRQ2iWvizpfbgWwPWNXdpump - выиграет PvP у старого Dacity
#paws популярный мем в интернетах, кошачья мета, первоначальная дистрибуция прошла, хорошие холдеры Fp4JkqEcKYKBKhb9iMu9NSDeo71HWgq2q9QtXaaKpump
#:3 перехай
#TI 7cin51XTpSkesiZMLJvEGNXqd5DFFqSBixcvn7Ppump
Октябрь в @german_intraday_bot
#:3 есть контакт
#:3 после вчерашнего пампа mihao люди ищут кошачью мету FSkyjfqB26u6c2GSgpACrjbxp9yQAR8rutxprVNppump
#PREDICTINU Памп добавил в приложение баланс Полимаркета - можно ожидать объявление о партнёрстве CR5FFdcCWosfkpoa9oGJ9scF1AvQRtdgBpJ1bmTBpump
🔴В 2025 году Россияне заработали 5,3 млрд рублей на арбитраже криптовалют По данным Минфин 32% граждан покинули своё место работы поскольку в среднем уже в первый месяц смогли заработать 250 000 рублей, а через 2-3 месяца с легкостью вышли на семизначные числа. Самое смешное, что лишь 8% россиян что-то слышали об этой профессии хотя все инструкции бесплатно лежат на канале Арбитраж Криптовалют Там объясняют, как и…
#X 9VZerdNL1x6EjetDqRnh5bYcdmk1y8sLAGs1ybzGpump
#butterfly жду скам памп от 🦋
#Montra перехай
Showing the 12 most recent of 438 posts we hold for @blockchaingerman. 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.
We recorded 22 posts on @blockchaingerman as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 10 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 93 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“Герман на блокчейне 🇪🇹” (@blockchaingerman), 32,201 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/blockchaingerman.
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.