Education — 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 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 the other topics.
Growth
44 measurements spanning 90 days, net +3,344. 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 9,178–13,537 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)
Subscribers
Change
4 Nov 2026, 17:18
13,034
+23
3 Nov 2026, 14:08
13,011
+26
2 Nov 2026, 17:26
12,985
-12
1 Nov 2026, 17:46
12,997
-8
31 Oct 2026, 20:08
13,005
+7
30 Oct 2026, 17:35
12,998
+31
29 Oct 2026, 14:37
12,967
+33
28 Oct 2026, 15:39
12,934
-13
27 Oct 2026, 18:17
12,947
+6
26 Oct 2026, 21:15
12,941
+26
25 Oct 2026, 23:25
12,915
+43
24 Oct 2026, 20:39
12,872
+6
23 Oct 2026, 20:57
12,866
+43
22 Oct 2026, 17:26
12,823
+47
21 Oct 2026, 02:56
12,776
+27
19 Oct 2026, 21:36
12,749
+28
18 Oct 2026, 23:35
12,721
+33
17 Oct 2026, 20:17
12,688
+3
16 Oct 2026, 22:06
12,685
+40
16 Oct 2026, 00:45
12,645
first reading
Engagement
58 posts held, back to 12 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.6%
avg views ÷ 13,034 subscribers
Avg views / post
2,820
21 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
21
of 58 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 4 November 2026
Posts held
58 (12 July 2026 – 4 November 2026)
Views total
59,158
Reactions total
958
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 19:06 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
338
Videos
153
Links
496
Lifetime counters from Telegram’s own channel header, read 4 November 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.
Video runtime
6m 41s
Average length
24s
Measured directly from 17 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
2,630 reactions across 56 posts, in 25 distinct kinds. The most used accounts for 38.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,016
38.6%
🔥
614
23.3%
❤
445
16.9%
😁
359
13.7%
🤯
62
2.36%
🎃
24
0.913%
✍
19
0.722%
🍾
18
0.684%
🤣
14
0.532%
custom 5821032484086750192
11
0.418%
😱
9
0.342%
🐳
8
0.304%
💯
5
0.19%
⚡
3
0.114%
🆒
3
0.114%
👏
3
0.114%
💅
3
0.114%
🕊
2
0.076%
😍
2
0.076%
😐
2
0.076%
5 further kinds
8
0.304%
Custom emoji. One row above is a 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 count beside it is 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 58 of the 58 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 2,780 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 12 July 2026 to 4 November 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
16
across the posts below
Posts paid on
16
of 58 we hold a reading for · 28%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fraugedik. 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 58 most recent posts we hold for this entry, published 12 July 2026 to 4 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 21 posts held from the last 30 days (9.52%) 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).
Если учите немецкий и рассматриваете Германию для учебы или работы –
Пора подаваться | Европа 🇪🇺
Это авторский канал со стажировками, PhD, школами, вакансиями и другими открытыми программами.
🇩🇪 Много позиций в Германии, плюс тематические подборки, разборы, гайды и полезные материалы.
Особое внимание – менее очевидные возможности для кандидатов не из ЕС.
С чего начать:
📌 Закреп канала
📖 Гайд про агентства по пост…
#DeutschMitNachrichten
🎥 Ещё одна причина учить немецкий — побегать вместе с молодёжью на протестах во Франкфурте.
Hier kracht es komplett.
Тут полный разнос!
от krachen — греметь, грохотать
Alter Schwede!
Ни фига себе!
💡После Тридцатилетней войны шведские ветераны обучали прусскую армию. За опыт и боевые заслуги их называли «старыми шведами». Так появилось Alter Schwede!
geistesgestört — Это безумие!
geistes…
#Monatsrückblick
Monatsrückblick — дайджест лучших постов октября:
🎃 Порше для покупок
🎃 Не догоняю
🎃 Двоится в глазах
🎃 Воры-карманники
🎃 Любовь с ChatGPT
🎃 Расистский цвет
🎃 Про носки и туфли
🎃 Витамины для взрослых
🎃 Автоответчик для интровертов
🎃 Яйца универсального назначения
🔥 Фаворит октября — В два счёта
🇩🇪Фрау Гедик учит шпрехать
УЧИШЬ НЕМЕЦКИЙ — А ЧТО ДАЛЬШЕ? 🇩🇪
Если Германия для тебя — не только язык, путешествия и мемы, но и возможная страна для учёбы, подготовку к поступлению в 2027 стоит начинать уже сейчас.
Потому что одного знания немецкого недостаточно. Нужно заранее разобраться:
— какие университеты и программы тебе подходят;
— на каком языке проходит обучение;
— какие документы потребуются;
— когда закрываются дедлайны;
— где иска…
#Halloween
Собираетесь отмечать Halloween на всю катушку?
Не переборщите со Streiche — шутками и розыгрышами
А то вместо конфет можно получить:
➡️ das Bußgeld — денежный штраф
🎃 Vermummung am Steuer — 60 Euro
Езда за рулём с закрытым лицом, например в маске — 60 евро
🎃 Lärmbelästigung — bis zu 5.000 Euro
Нарушение покоя из-за шума — до 5000 евро
🎃 Tragen einer Anscheinswaffe — bis zu 10.000 Euro
Ношение предме…
#DeutschMitMusik
Учите немецкий давно, а как доходит до разговора с немцем — сразу ступор?
📹 Тогда вам знакомо чувство из этой песни:
🎵Jeder Tag und jede Nacht mit dir.
Каждый день и каждая ночь с тобой.
🎵Alles für die Katz.
Всё коту под хвост.
🎵Jeder Urlaub an der Côte d'Azur.
Каждый отпуск на Лазурном Берегу.
🎵Alles für die Katz.
Всё коту под хвост.
🎵Das ganze Funkelzeug vom Juwelier.
Все эти блестящие побрякушк…
#LustigesDeutsch
Если вам было мало пенделя и мотивационного пинка для изучения немецкого из прошлых постов, то вот вам классика немецкой фразеологии.
Was du heute kannst besorgen, das verschiebe nicht auf morgen.
Не откладывай на завтра то, что можешь сделать сегодня.
С немецким и мотивацией тип-топ? Тогда ближе к жизни:
Was du heute kannst entkorken, das verschiebe nicht auf morgen.
Что можешь сегодня откупори…
#немецкийдляжизни
Актуальная лексика от Bundespolizei и Deutsche Bahn.
➡️ Taschendiebe — воры-карманники их фирменные приёмы.
🔴der Scheibenklopfer — «стучащий по стеклу»
Стучит в окно поезда, отвлекая пассажира, пока сообщник его обкрадывает.
🔴der Stauerzeuger — «создатель затора»
Блокирует эскалатор, люди сбиваются в кучу. Сообщник в это время крадёт вещи.
🔴der Anrempler — «толкальщик»
Толкает жертву в толпе ил…
#WortDesTages
Говорят, немецкий автопром в последние годы чувствует себя так себе. Не верьте!
Судя по видео, любой житель Берлина может позволить себе Porsche.
Правда, не совсем автомобиль, а…
➡️ der Hackenporsche — тележку на колёсиках для покупок
От die Hacke (пятка) + der Porsche (Порше).
➤ Порше для народа, который едет следом и цепляется за пятки.
Ещё его называют:
🔴der Einkaufsroller
🔴der Einkaufstrolle…
#учимнемецкий
Услышали от кого-то:
➡️ Da komme ich nicht mehr mit!
Не спешите обижаться, что человек не хочет с вами никуда идти.
Возможно, он просто не догнал. В смысле — не понял, что вы творите или говорите.
➤ Da komme ich nicht mehr mit! — Я вообще ничего не понимаю!
mitkommen — это не только «идти вместе», но ещё и «поспевать» за чьей-то мыслью или поступками.
🔴Da komme ich nicht mehr mit. Irgendetwas sti…
#немецкийдляжизни
Пост для тех, кто хочет быстро убраться и заодно выучить прикольное немецкое выражение!
So verschwindet die Wäsche in [im] Nullkommanichts.
Так бельё исчезает в мгновение ока.
➡️ im Nullkommanichts/ in null Komma nichts — разг. мгновенно, в два счёта
🔴Der Kuchen wurde von den Kollegen im Nullkommanichts verputzt.
🔴Коллеги смолотили пирог в мгновение ока.
Вот бы немецкий тоже учился im Nullkomm…
👍43😁20🔥16❤10🐳1😍1
Showing the 12 most recent of 58 posts we hold for @fraugedik. 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 recorded as deleted after publishing
We recorded 5 posts on @fraugedik 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.
First seen missing
10 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
8 days
Seen missing in the last 30 days
1
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.
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Фрау Гедик учит шпрехать | Немецкий | Deutsch” (@fraugedik), 13,034 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/fraugedik.
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.