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Channel

Goethe-Institut Moskau/Гёте-Институт в Москве

@goethe_institut_moskau

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

6,257subscribers

+384 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001703919820
TypeChannel
Username@goethe_institut_moskau
Created15 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/goethe_institut_moskau

Topic

Literature — 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 86% 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 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.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@goethespb/136619 Jul 2026, 16:02 UTC@goethe_institut_moskau/1334 · this entry19 Jul 2026, 16:09 UTC1.007 minutes
@goethespb/137521 Jul 2026, 14:32 UTC@goethe_institut_moskau/1343 · this entry21 Jul 2026, 14:33 UTC1.0072 seconds
@goethespb/138024 Jul 2026, 15:20 UTC@goethe_institut_moskau/1348 · this entry24 Jul 2026, 15:51 UTC1.0031 minutes
@goethespb/138230 Jul 2026, 16:41 UTC@goethe_institut_moskau/1350 · this entry30 Jul 2026, 16:42 UTC1.0072 seconds
@goethespb/13875 Aug 2026, 12:07 UTC@goethe_institut_moskau/1355 · this entry5 Aug 2026, 12:07 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@goethespb5 (5/5 hand-verifiable sample passed)1.0072 seconds@goethespb (50)

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 5 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 5 comparable posts for this entry, running 19 July 2026 to 5 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 2, the earliest publisher we hold is @goethespb. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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.

Also posting the same content

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.

Growth

5,8736,2576,0656 August 2026 — 5,873 subscribers7 August 2026 — 5,877 subscribers10 August 2026 — 5,881 subscribers13 August 2026 — 5,894 subscribers17 August 2026 — 5,899 subscribers20 August 2026 — 5,911 subscribers24 August 2026 — 5,920 subscribers27 August 2026 — 5,934 subscribers30 August 2026 — 5,939 subscribers2 September 2026 — 5,954 subscribers6 September 2026 — 6,147 subscribers11 September 2026 — 6,237 subscribers15 September 2026 — 6,257 subscribers6 August 202615 September 2026
13 measurements spanning 40 days, net +384. 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 5,815–6,315 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 18:576,257+20
11 Sept 2026, 16:156,237+90
6 Sept 2026, 16:206,147+193
2 Sept 2026, 04:485,954+15
30 Aug 2026, 08:375,939+5
27 Aug 2026, 00:445,934+14
24 Aug 2026, 01:055,920+9
20 Aug 2026, 13:225,911+12
17 Aug 2026, 11:155,899+5
13 Aug 2026, 15:085,894+13
10 Aug 2026, 06:205,881+4
7 Aug 2026, 09:465,877+4
6 Aug 2026, 12:015,873first reading

Engagement

7 posts held, back to 19 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 9 pages of 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 7 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 19s
Average length
1m 10s

Measured directly from 2 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.

Reaction mix

234 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 65.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15465.8%
🔥4117.5%
👍187.69%
🥰114.70%
🎉72.99%
👏20.855%
👌10.427%

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 7 of the 7 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 234 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 19 July 2026 to 9 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

9 Aug 2026, 09:03 UTC≈1,090 views70 reactionsread 12 August 2026
Video

Мы в мире. Уже 75 лет. С 1951 года мы создаём возможности для встреч, общения и взаимопонимания между людьми разных стран и культур. Мы убеждены: любознательность важнее готовых ответов, диалог сильнее поляризации, а близость преодолевает любые расстояния. 154 института в 100 странах создают пространство для общения, новых идей и взаимопонимания. Так было вчера. Так мы работаем сегодня. И так смотрим в будущее.

55👍9🔥3👏2🥰1

5 Aug 2026, 12:07 UTC≈1,380 views21 reactionsread 12 August 2026
Photo

Ингеборг Бахман было всего 27 лет, когда вышел её первый поэтический сборник «Отсроченное время». Он принёс ей признание и сделал одним из самых заметных голосов послевоенной немецкоязычной литературы. К 100-летию писательницы публикуем статью литературного критика Беате Трёгер, в которой она обращается к этой книге и размышляет о том, как Бахман искала новый язык для разговора о прошлом, когда оно ещё слишком близк

15👍5🔥1

30 Jul 2026, 16:42 UTC≈1,700 views54 reactionsread 12 August 2026
Photo

🚦 Как человечек со светофора стал культурным символом Германии? На первый взгляд Ampelmännchen — всего лишь фигурка пешехода на светофоре. Но этот человечек в шляпе давно превратился в объект массовой культуры и один из самых узнаваемых символов Берлина. Его история началась в ГДР в 1961 году, когда психолог дорожного движения Карл Пеглау предложил создать специальные сигналы для пешеходов. При разработке учитывали

38🔥8🥰7👌1

24 Jul 2026, 15:51 UTC≈1,850 views16 reactionsread 12 August 2026
Video

Сколько немецких слов помещается в пляжную сумку? Sonnenbrille, Trinkflasche, Muscheln, Sonnencreme... А сколько ещё может поместиться за четыре недели онлайн-интенсива? Интенсивная практика, общение и погружение в язык помогут провести лето с пользой и заметно продвинуться в немецком. Присоединяйтесь к летним интенсивным курсам немецкого языка онлайн, и всего за месяц вы сможете пройти программу целого триместра.

13🔥3

21 Jul 2026, 14:33 UTC≈1,920 views32 reactionsread 12 August 2026
Photo

Шарик ванильного, популярное корпусное или Spaghetti-Eis: какое мороженое в жару освежает лучше всего? В Германии, как, впрочем, и во многих других странах, мороженое — одно из любимых летних лакомств. Первая немецкая Eisdiele открылась в Гамбурге аж в 1799 году. Правда, тогда мороженое было роскошью, доступной лишь немногим. Всё изменилось в XX веке, а именно в 1950-х годах, когда в Германию приехали тысячи итальян

🔥1711👍4

19 Jul 2026, 16:09 UTC≈1,700 views37 reactionsread 12 August 2026
Photo

🌍 Попробуйте угадать: сколько людей по всему миру изучают немецкий язык? Сколько книжных переводов уже поддержал Гёте-Институт? За этими цифрами стоят реальные истории, жизненные пути и, конечно люди, объединённые интересом к немецкому языку и культуре.

18🔥9🎉7🥰3

Showing the 7 most recent of 7 posts we hold for @goethe_institut_moskau. 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.

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.

JETMINDS | Образование за границей
@jetmindscompany · 26,043
Telegram ranks this channel #38 of 85 here — alongside 84 others — read 13 September 2026
Немецкий язык в тестах
@learngerm · 31,263
Telegram ranks this channel #43 of 93 here — alongside 92 others — read 6 September 2026
Немецкий для начинающих
@fangedeutschan · 47,469
Telegram ranks this channel #49 of 96 here — alongside 95 others — read 26 August 2026
Немецкий язык
@deutschonline · 122,699
Telegram ranks this channel #51 of 94 here — alongside 93 others — read 14 August 2026
Немецкий для продвинутых (B1 и B2)
@deutsche_gedichte · 23,010
Telegram ranks this channel #59 of 90 here — alongside 89 others — read 19 September 2026
Немецкий язык в словах
@stylishgerman · 50,011
Telegram ranks this channel #60 of 95 here — alongside 94 others — read 25 August 2026
🇦🇹 Образование в Австрии | edu-vienna.com
@eduvienna · 40,353
Telegram ranks this channel #75 of 83 here — alongside 82 others — read 30 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Goethe-Institut Moskau/Гёте-Институт в Москве” (@goethe_institut_moskau), 6,257 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/goethe_institut_moskau.

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.