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Channel

НЕМЕЦКИЙ ЯЗЫК ПО ПЛЕЙЛИСТАМ

@germanplaylists

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

13,276subscribers

+45 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001870285679
TypeChannel
Username@germanplaylists
DescriptionНаш канал на YouTube с бесплатными видеоуроками - https://m.youtube.com/@germanplaylists Учим немецкий язык по формулам с Александром Бебрисом с нуля до С1 Заходи, будет интересно🔥 Заявление на регистрацию канала в Роскомнадзоре №4809860517
Created25 January 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/germanplaylists

Topic

Education — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

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.

Content that also appears on other registered channels

Posts published here appear word for word on 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. 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.

Matching posts — open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@germanplaylists/1886 · this entry19 Jul 2026, 13:09 UTC@frenchplaylists/4619 Jul 2026, 13:13 UTC1.004 minutes
@germanplaylists/1886 · this entry19 Jul 2026, 13:09 UTC@italianplaylists/7619 Jul 2026, 13:13 UTC1.004 minutes
@spanishplaylists/2116 Aug 2026, 08:11 UTC@germanplaylists/1901 · this entry6 Aug 2026, 08:12 UTC0.88under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@frenchplaylists6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (51)
@italianplaylists6 (6/6 hand-verifiable sample passed)1.0072 secondsthis entry (60)
@spanishplaylists6 (6/6 hand-verifiable sample passed)0.98under a minute@spanishplaylists (51)

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. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 6 July 2026 to 6 August 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 5, the earliest publisher we hold is @germanplaylists — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 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.

Growth

13,23113,27613,253.56 August 2026 — 13,231 subscribers7 August 2026 — 13,243 subscribers8 August 2026 — 13,250 subscribers8 August 2026 — 13,253 subscribers10 August 2026 — 13,267 subscribers11 August 2026 — 13,270 subscribers12 August 2026 — 13,276 subscribers6 August 202612 August 2026
7 measurements spanning 6 days, net +45. 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 13,224–13,283 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 01:5213,276+6
11 Aug 2026, 00:3113,270+3
10 Aug 2026, 00:4413,267+14
8 Aug 2026, 23:0213,253+3
8 Aug 2026, 01:5413,250+7
7 Aug 2026, 04:4513,243+12
6 Aug 2026, 10:0513,231first reading

Engagement

22 posts held, back to 6 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
33.6%
avg views ÷ 13,276 subscribers
Avg views / post
4,460
20 posts measured
Reaction rate
2.15%
reactions ÷ views · ER floor
Posts in window
20
of 22 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held22 (6 July 202610 August 2026)
Views total89,200
Reactions total1,915
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 11:56 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
895
Videos
424
Links
345

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

2,020 reactions across 22 posts, in 22 distinct kinds. The most used accounts for 42.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
85142.1%
👍45722.6%
🔥36017.8%
❤‍🔥20510.1%
🙏693.42%
💘221.09%
💋80.396%
70.347%
🤮70.347%
👏60.297%
🤝50.248%
🥰50.248%
40.198%
👨‍💻30.149%
💩30.149%
🖕20.099%
🆒10.05%
👎10.05%
👾10.05%
😁10.05%
2 further kinds20.099%

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 22 of the 22 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 2,020reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 6 July 2026 to 10 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.

Recent posts

10 Aug 2026, 17:39 UTC≈1,860 views51 reactionsread 12 August 2026

Друзья, умеете соглашаться по-немецки? Если нет, то давайте научимся и разберём несколько простых фраз, которые помогут вам, если вы согласны с человеком или с его мнением. einverstanden – согласен [ˌaɪ̯n fɛɐ̯ˈʃtandn̩] damit – с этим [daˈmɪt] Примеры: Ich bin damit einverstanden – Я с этим согласен [ɪç bɪn daˈmɪt ˌaɪ̯n fɛɐ̯ˈʃtandn̩] Einverstanden! – Согласен! [ˌaɪ̯n fɛɐ̯ˈʃtandn̩] Напишите свой пример в комментар

30👍20🔥1

6 Aug 2026, 10:36 UTC≈2,820 views107 reactionsread 12 August 2026
Forwarded from @engplaylistsPhoto

Друзья, этот год получился мега интенсивным! Со стороны может показаться, что мало делается, но объем выполненных работ просто колоссальный! На данный момент написаны разные книги и по разным языкам. Чтобы сделать это реально качественно и эффективно для вас, это занимает огромнейшее количество времени и ресурсов! Книги выходят в порядке очереди в издательстве. Что пока написано: 📀 Английский 1. Самоучитель 1 Ozon

86💘8🔥7👍6

6 Aug 2026, 08:12 UTC≈2,890 views92 reactionsread 12 August 2026

Дорогие немцы! Приходите на личную встречу 10 сентября в Москве, если у кого вдруг будет желание! ТЦ Европейский. Читай-город Предварительно предлагают вечер на эту дату. Время скажут точнее ближе к делу.

👍4627🔥19

5 Aug 2026, 16:45 UTC≈3,190 views41 reactionsread 12 August 2026

Иногда, чтобы выразить эмоции на немецком, нужно использовать устойчивые конструкции. Например, чтобы сказать «я переживаю». Запомним: Ich mache mir Sorgen Примеры: Ich mache mir Sorgen um dich — Я переживаю за тебя [ɪç ˈmaxə miːɐ̯ ˈzɔʁɡn̩ ʔʊm dɪç] Mach dir keine Sorgen — Не переживай [max diːɐ̯ ˈkaɪ̯nə ˈzɔʁɡn̩] Потренируемся в комментариях Больше практики — в German Galaxy 👉 https://gergalaxy.com

28👍7🔥5🤝1

4 Aug 2026, 16:23 UTC≈7,560 views170 reactionsread 12 August 2026

Друзья, я в том месяце дописал полный курс немецкого A0-C1 в новом формате Осталось только выложить! https://www.youtube.com/watch?v=gd1anD8rYJY&list=PLpvrYdFr65lclosateOsp59ho-R34TrgJ Это очень важный плейлист!

🙏6756👍22💋8💘8🔥6👏1🤮1

4 Aug 2026, 12:33 UTC≈2,760 views50 reactionsread 12 August 2026
Forwarded from @engplaylists

Друзья, специально для вас уже готовятся лексические нейротренажеры для прокачки словарного запаса по темам и по разным языкам! Точнее, они уже готовы, и издательство их уже их готовит к выпуску. Проблема лексики и словарного запаса - это такая боль. Очень хочется помочь с этим! Лексический нейротренажер - это полноценный тренинг словарного запаса именно по темам - 100 тем. Короткие порции и эффективные упражнения,

34👍16

3 Aug 2026, 17:09 UTC≈3,140 views54 reactionsread 12 August 2026

Друзья, в живой речи иногда бывает очень важно не просто сказать какую-то фразу, а передать степень или оттенок значения. Запомним важное слово –«ziemlich» – довольно / достаточно, которое поможет вам в этом. Примеры: Das ist ziemlich gut — Это довольно хорошо [das ɪst ˈtsiːmlɪç ɡuːt] Ich bin ziemlich müde — Я довольно устал [ɪç bɪn ˈtsiːmlɪç ˈmyːdə] Es ist ziemlich teuer — Это довольно дорого [ɛs ɪst ˈtsiːmlɪç ˈtɔ

👍3616👏2

1 Aug 2026, 17:46 UTC≈3,800 views129 reactionsread 12 August 2026

И также по немецкому такой делаю. Всё норм!

🔥81👍3017👏1

1 Aug 2026, 17:46 UTC≈3,670 views53 reactionsread 12 August 2026
Forwarded from @engplaylists

Еще немного позитива! Скоро должны появиться также - 4000 слов. Часть 3. Линейка по словам следующая: Вот сразу отпишу, чтобы не было путаницы 1. 3000 слов часть 1 = 500 + 2500 - A0-A1 2. 3000 слов часть 2 = 500 + 2500 - A1-A2 3. 4000 слов = 1000 + 3000 - A2-B1 4. 5000 слов = 1250 + 3750 - B1-B2 5. 7000 слов = 1750 + 5250 - B2-C2 Итого: 7000 самых нужных уникальных слов по нарастающей сложности. И 17 000 примеров +

🔥4541👍1👎1😁1

31 Jul 2026, 13:51 UTC≈4,060 views71 reactionsread 12 August 2026

Друзья, когда нужно сказать «почти нет», «почти не» или «едва» и немного смягчить высказывание – используйте слово «kaum» Примеры: Ich habe kaum Zeit – У меня почти нет времени [ɪç ˈhaːbə kaʊ̯m tsaɪ̯t] Ich schlafe kaum – Я почти не сплю [ɪç ˈʃlaːfə kaʊ̯m] Er spricht kaum Deutsch – Он почти не говорит по-немецки [eːɐ̯ ʃprɪçt kaʊ̯m dɔʏ̯tʃ] Напишите свой пример с «kaum» в комментариях Больше практики — в German Galax

45👍17🤝4🔥3🙏2

31 Jul 2026, 08:33 UTC≈3,740 views98 reactionsread 12 August 2026
Forwarded from @engplaylists

Друзья, для вас также готовлю пока лексические нейротренажеры: 1. английский 2. испанский 3. немецкий 4. французский 5. китайский

👍5740🤩1

28 Jul 2026, 12:17 UTC≈4,950 views63 reactionsread 12 August 2026

Друзья, иногда хочется не просто задать вопрос, а показать своё удивление, недоверие или даже лёгкое возмущение Давайте запомним слово, которое поможет вам в таких ситуациях: «etwa» - неужели / что, правда Примеры: Kommst du etwa nicht? — Ты что, не придёшь? [kɔmst duː ˈɛtva nɪçt] Hast du das etwa vergessen? — Ты что, забыл это? [hast duː das ˈɛtva fɛɐ̯ˈɡɛsn̩] Напишите свой пример с этим словом в комментариях Бол

50🔥13

Showing the 12 most recent of 22 posts we hold for @germanplaylists. 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

Citation-graph rank — 11,241 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

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.

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

“НЕМЕЦКИЙ ЯЗЫК ПО ПЛЕЙЛИСТАМ” (@germanplaylists), 13,276 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/germanplaylists.

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.