National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
32 measurements spanning 44 days, net +498. 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 9,934–10,582 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 06:39
10,507
+4
16 Sept 2026, 17:01
10,503
+4
14 Sept 2026, 17:58
10,499
+32
13 Sept 2026, 04:21
10,467
+3
11 Sept 2026, 04:15
10,464
-4
8 Sept 2026, 03:37
10,468
+26
5 Sept 2026, 02:01
10,442
+12
3 Sept 2026, 10:43
10,430
+26
2 Sept 2026, 02:54
10,404
+3
31 Aug 2026, 07:14
10,401
+6
30 Aug 2026, 08:24
10,395
+7
29 Aug 2026, 09:03
10,388
+53
27 Aug 2026, 07:18
10,335
+9
26 Aug 2026, 06:03
10,326
+1
25 Aug 2026, 04:16
10,325
+1
24 Aug 2026, 00:26
10,324
-4
21 Aug 2026, 00:32
10,328
-1
20 Aug 2026, 03:44
10,329
+5
19 Aug 2026, 06:52
10,324
-1
18 Aug 2026, 10:15
10,325
first reading
Engagement
47 posts held, back to 26 July 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 39 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
37.0%
avg views ÷ 10,507 subscribers
Avg views / post
3,890
8 posts measured
Reaction rate
3.00%
reactions ÷ views · ER floor
Posts in window
8
of 47 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
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
47 (26 July 2026 – 28 August 2026)
Views total
31,090
Reactions total
934
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 15:03 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
Video runtime
1m 28s
Average length
1m 28s
Measured directly from 1 video 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
8,096 reactions across 46 posts, in 50 distinct kinds. The most used accounts for 16.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,296
16.0%
🔥
1,095
13.5%
👍
896
11.1%
🤬
733
9.05%
👎
394
4.87%
🦄
362
4.47%
🤯
339
4.19%
😁
329
4.06%
🤣
315
3.89%
🤝
286
3.53%
🤡
286
3.53%
custom 5461001245567237943
228
2.82%
💩
169
2.09%
😱
161
1.99%
👏
146
1.80%
💊
120
1.48%
💔
120
1.48%
🫡
84
1.04%
🍓
77
0.951%
custom 5460677525292202280
71
0.877%
30 further kinds
589
7.28%
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 are Telegram’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 47 of the 47 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 8,208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 26 July 2026 to 28 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.
Telegram Stars
Stars received
78
across the posts below
Posts paid on
7
of 47 we hold a reading for · 15%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @goose_expat. 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 47 most recent posts we hold for this entry, published 26 July 2026 to 28 August 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.
🇩🇪 В Германии снова растёт безработица
В августе число безработных выросло ещё на 54 000 человек и достигло 3,061 млн. Уровень безработицы поднялся до 6,5%.
И это уже не только обычный летний эффект: по сравнению с августом прошлого года безработных стало на 36 000 больше. Федеральное агентство по труду прямо говорит, что на рынке «мало динамики».
Для тех, кто сейчас ищет работу, картина тоже не самая бодрая. В аг…
🇩🇪 Каждый пятый в Германии стал бы брать больничный подольше, если справку потребуют с первого дня
Правительство хочет обязать работников получать больничный (AU) уже с первого дня болезни. Но опрос YouGov показывает: эффект может оказаться противоположным задуманному (вот это поворот, какая неожиданность, кто бы мог подумать - прим. редакции)
Если новые правила введут:
— 21% работников стали бы просить больничный …
📢 Специалисты с AI-навыками зарабатывают в среднем на 62% больше — такие данные приводит PwC в AI Jobs Barometer 2026
Реклама / Werbung
Бизнесу нужны специалисты, которые понимают, как использовать AI с пользой для компании: ускорять работу, сокращать ручные задачи и улучшать процессы.
Школа AIT запустила программу AI-интегратор/AI-инженер. Она подойдет тем, кто хочет освоить новую профессию, усилить навыки в свое…
🇩🇪 Экономика Германии растёт третий квартал подряд
Кажется, разговоры о том, что немецкая экономика наконец начинает выбираться из затяжного кризиса, получают ещё один аргумент.
Во втором квартале ВВП Германии вырос на 0,3% - сообщает статистическое ведомство. Изначально статистики оценивали рост всего в 0,2%.
Это уже третий квартал роста подряд:
— IV квартал 2025: +0,3%
— I квартал 2026: +0,4%
— II квартал 2026:…
Претенденты: кто окажется в парламенте?
Мы часто слышим выступления парламентских партий, но что думают те, кто не прошёл в парламент на прошлых выборах — BSW, FDP, Volt и другие? Мы решили провести открытые дебаты между представителями этих политических сил. Подробнее здесь.
Это возможность услышать разные взгляды на будущее Берлина, задать свои вопросы политикам и сравнить позиции по актуальным городским темам пе…
⚡️ Wahl-o-Mat Berlin 2026 доступен онлайн!
Wahl-O-Mat — это онлайн-инструмент, разрабатываемый Федеральным агентством по гражданскому просвещению (bpb), который помогает избирателям перед выборами определить свои политические предпочтения: пользователь отвечает «согласен», «не согласен» или «нейтрально» на 38 актуальных тезисов о политике и экономике, после чего алгоритм рассчитывает процент совпадения его позиции с…
🇩🇪 АфД обещает вывести Германию из евро и Шенгена
И выгнать всех сирийцев
Сопредседатель АфД Алис Вайдель в летнем интервью ZDF довольно чётко описала, что партия собирается делать в случае прихода к власти на федеральном уровне. А заодно назвала нынешних политиков, мягко говоря, идиотами.
Вайдель заявила, что устала от «Flachzangen», которые сидят наверху, обещают одно, а делают противоположное. Дословно Flachzang…
CDU вытащили козырь из рукава
38-летняя Коринна Йодайт баллотируется в городской совет Вильдесхаузена в Нижней Саксонии. На её предвыборных плакатах хорошо видна золотая цепочка с надписью MILF.
После того как плакаты разошлись по соцсетям, начался вполне предсказуемый немецкий Kulturkampf: одни называют это несерьёзным и неподобающим для политика, другие защищают Йодайт и считают, что украшение вообще никак не свя…
А кто-то может объяснить старому миллениалу прикол с Jellyfest, магазин которого открылся в KaDeWe? А то 50 евро за плюшевый братвюрст эт чёт цу филь
Народ тут стоит в очереди, некоторые с 5-8 пакетами, а я вообще впервые про это слышу 😅
Jfyi, герр Мерц продлил свой отпуск ещё на неделю
Но вы ни в коем случае не вздумайте цитировать Канцлера насчёт того, что нам всем нужно больше и эффективнее работать и забыть про work-life balance
Вы не понимаете, это другое...
Как научиться шутить на немецком
Или подборка подкастов и стендапов
Привет! Меня зовут Саша из Sternstunden.Deutsch, я преподаю немецкий на высоких уровнях и частенько сталкиваюсь с запросом: "прокачать немецкий, чтобы наконец почувствовать себя на этом языке собой и научиться... шутить" 🕺
Реклама / Werbung (но я сам читаю Сашу и смело рекомендую)
А ведь юмор в обучении очень и очень важен! Он помогает лучше запом…
❤34🔥8👍5🤓2🤝1
Showing the 12 most recent of 47 posts we hold for @goose_expat. 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.
Posts edited after publishing
@goose_expat edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
24 August 2026
Most recent edit
24 August 2026
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 12 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.
Работа в Германии @jobde · 49,780 Telegram ranks this channel #6 of 91 here — alongside 90 others — read 25 August 2026
Германия | Украина | Беженцы @ASA_de · 35,035 Telegram ranks this channel #11 of 84 here — alongside 83 others — read 2 September 2026
Что там у немцев? @dwrussian · 50,743 Telegram ranks this channel #13 of 97 here — alongside 96 others — read 25 August 2026
Work-in-Germany 🇩🇪 Работа. Германия @germanworks · 23,161 Telegram ranks this channel #15 of 95 here — alongside 94 others — read 19 September 2026
Немецкий язык @deutschonline · 122,699 Telegram ranks this channel #49 of 94 here — alongside 93 others — read 14 August 2026
Немецкий для продвинутых (B1 и B2) @deutsche_gedichte · 23,010 Telegram ranks this channel #53 of 90 here — alongside 89 others — read 19 September 2026
Немецкий язык в словах @stylishgerman · 50,011 Telegram ranks this channel #62 of 95 here — alongside 94 others — read 25 August 2026
Немецкий язык в тестах @learngerm · 31,263 Telegram ranks this channel #68 of 93 here — alongside 92 others — read 6 September 2026
JETMINDS | Образование за границей @jetmindscompany · 26,043 Telegram ranks this channel #71 of 85 here — alongside 84 others — read 13 September 2026
Немецкий для начинающих @fangedeutschan · 47,469 Telegram ranks this channel #73 of 96 here — alongside 95 others — read 26 August 2026
🇦🇹 Образование в Австрии | edu-vienna.com @eduvienna · 40,353 Telegram ranks this channel #74 of 83 here — alongside 82 others — read 30 August 2026
Немецкий Язык | Германия | HHDEUTSCH @hhdeutsch · 27,615 Telegram ranks this channel #89 of 92 here — alongside 91 others — read 10 September 2026
This channel appears in 12 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Гусь в Берлине” (@goose_expat), 10,507 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/goose_expat.
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.