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Channel

C’est Marseille, bébé

@fuckingfrench

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,380subscribers

-177 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-1001093527431
TypeChannel
Username@fuckingfrench
DescriptionПишу, говорю, думаю на французском — и вас научу. По всем вопросам (в том числе, об уроках французского): @childe_harold
Created22 January 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/fuckingfrench

Topic

Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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

7,3807,5577,468.56 August 2026 — 7,557 subscribers6 August 2026 — 7,557 subscribers6 August 2026 — 7,552 subscribers9 August 2026 — 7,548 subscribers12 August 2026 — 7,550 subscribers16 August 2026 — 7,542 subscribers22 August 2026 — 7,510 subscribers26 August 2026 — 7,492 subscribers28 August 2026 — 7,489 subscribers1 September 2026 — 7,483 subscribers5 September 2026 — 7,468 subscribers10 September 2026 — 7,449 subscribers14 September 2026 — 7,436 subscribers18 September 2026 — 7,438 subscribers27 September 2026 — 7,415 subscribers5 October 2026 — 7,416 subscribers12 October 2026 — 7,417 subscribers15 October 2026 — 7,414 subscribers18 October 2026 — 7,405 subscribers21 October 2026 — 7,422 subscribers24 October 2026 — 7,429 subscribers27 October 2026 — 7,425 subscribers30 October 2026 — 7,420 subscribers3 November 2026 — 7,412 subscribers6 November 2026 — 7,402 subscribers9 November 2026 — 7,386 subscribers13 November 2026 — 7,380 subscribers6 August 202613 November 2026
27 measurements spanning 100 days, net -177. 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 7,353–7,584 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
13 Nov 2026, 22:467,380-6
9 Nov 2026, 13:517,386-16
6 Nov 2026, 04:307,402-10
3 Nov 2026, 02:467,412-8
30 Oct 2026, 16:017,420-5
27 Oct 2026, 17:207,425-4
24 Oct 2026, 13:047,429+7
21 Oct 2026, 18:207,422+17
18 Oct 2026, 22:517,405-9
15 Oct 2026, 14:377,414-3
12 Oct 2026, 17:287,417+1
5 Oct 2026, 18:577,416+1
27 Sept 2026, 23:227,415-23
18 Sept 2026, 14:417,438+2
14 Sept 2026, 07:407,436-13
10 Sept 2026, 05:567,449-19
5 Sept 2026, 05:567,468-15
1 Sept 2026, 02:467,483-6
28 Aug 2026, 19:367,489-3
26 Aug 2026, 03:037,492first reading

Engagement

56 posts held, back to 23 June 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
15.0%
avg views ÷ 7,380 subscribers
Avg views / post
1,110
24 posts measured
Reaction rate
4.27%
reactions ÷ views · ER floor
Posts in window
25
of 56 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 14 November 2026
Posts held56 (23 June 2026 – 14 November 2026)
Views total26,652
Reactions total1,137
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 18:23 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
≈1,190
Videos
≈47
Links
≈328

Lifetime counters from Telegram’s own channel header, read 14 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.

Reaction mix

2,801 reactions across 54 posts, in 17 distinct kinds. The most used accounts for 52.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,48052.8%
🔥37813.5%
😁2649.43%
❤‍🔥2488.85%
👍1866.64%
🥰913.25%
💔351.25%
😱281%
✍250.893%
😢230.821%
⚡150.536%
👻110.393%
😎60.214%
🌚50.179%
☃30.107%
😘20.071%
🤔10.036%

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 55 of the 56 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 2,842 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 23 June 2026 to 14 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 25 posts held from the last 30 days (8.00%) 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).

14 Nov 2026, 05:32 UTC356 views30 reactionsread 14 November 2026
Photo

Как по одному куску мыла понять, что ты в Марселе? Очень просто: вот тут написано «оh le sang », это марсельское выражение, так обращаются к близкому другу, брату, братану, братишке. Например: « Salut, le sang », буквально «привет, кровь». Это намек на то, что, мол, вы с другом буквально как родня. #марсельский_французский

🔥18❤10🥰2

13 Nov 2026, 10:09 UTC496 views39 reactionsread 14 November 2026

Между тем сегодня пятница 13, mes gâtés, и да, во Франции тоже опасаются этой даты. Те, кто верит в superstitions, суеверия, конечно. Считается, что именно в пятницу, 13 октября 1307 года, были арестованы тамплиеры французским королем Филиппом Красивым (помните цикл «Проклятые короли»?), а еще произошло много других несчастий. У боязни пятницы 13 есть даже отдельное — и сложнопроизносимое — название во французском,…

❤25👻6🔥4😁3🥰1

13 Nov 2026, 05:37 UTC535 views42 reactionsread 14 November 2026
Photo

Во Франции обожают, обожают, ОБОЖАЮТ комиксы обо всем и обо всех на свете. В том числе делают исторические комиксы про разные события и людей прошлого, скажем, вот мне встретилась история La Tigresse bretonne, Бретонской Тигрицы. Это реально существовавшая женщина, аристократка, Жанна де Белльвилль, которая после смерти мужа ополчилась на французского короля и стала пираткой. До сих пор не понимаю, почему про нее не…

❤33⚡6🔥3

12 Nov 2026, 10:23 UTC617 views30 reactionsread 14 November 2026

Топ-3 самых страшных существ из французского фольклора Я обожаю, обожаю, ОБОЖАЮ французский фольклор, mes gâtés, то есть, фольклор французских регионов (не будем делать вид, что существует некий единый французский фольклор). И, так как осень, вообще-то, еще не закончилась, я решила, что самое время в эту мрачную пору поговорить про всяких пугающих существ из легенд Франции. C’est parti: ✨Третье место — Анку Анку …

❤‍🔥16❤7👍7

12 Nov 2026, 05:26 UTC564 views39 reactionsread 14 November 2026
Photo

А вот и вид с марсельских крыш, mes gâtés #немного_марселя_в_ленту

❤27❤‍🔥7⚡3👍2

10 Nov 2026, 05:29 UTC785 views34 reactionsread 14 November 2026
Photo

Во Франции, особенно если речь идет про старые дома, зачастую нет номеров квартир. А как тогда найти нужную, спросите вы? Очень просто: вместо номера у домофона — а тут они персональные — указывают имя и фамилию жильца. Ну или, как на фото, доктора, у которого в квартире свой кабинет. У нас тоже нет номера квартиры, более того, в нашем доме у всех на почтовых ящиках золотые — не из золота, естественно, а просто золо…

❤25😁6🔥3

9 Nov 2026, 05:18 UTC831 views37 reactionsread 14 November 2026
Photo

Ну что, дорогие ученики, вы или не вы? #слово_ученикам #мемы_про_французский

😁27❤8🔥2

8 Nov 2026, 05:14 UTC897 views41 reactionsread 14 November 2026
Photo

А вот и рубрика дверной магии, mes gâtés, сегодня у нас двери из средневекового города Авиньона, смотрите, какие красавчики #не_марселем_единым

❤37🥰2⚡1🔥1

7 Nov 2026, 05:18 UTC975 views49 reactionsread 14 November 2026
Photo

Принесла вам фото с марсельского променада, тянущегося прямо над Средиземным морем. Вот с такими видами гуляем, mes gâtés #немного_марселя_в_ленту

❤29👍13🔥4🥰3

6 Nov 2026, 12:25 UTC935 views54 reactionsread 14 November 2026
Photo

Кто я, что это за канал и что тут происходит Пришло время обновить пост-знакомство, mes gâtés. Итак, я: ✨💚✨Преподавательница французского. Преподаю больше десяти лет, сейчас только онлайн (а начинала я с оффлайна, ах, старые-добрые времена, когда я встречалась с учениками в кофейнях). Важный момент: преподаю я только взрослым людям, это связано с тем, что к детям нужен другой подход. Об уроках французского можно у…

❤‍🔥32❤16🔥4🥰2

6 Nov 2026, 05:26 UTC824 views36 reactionsread 14 November 2026
Photo

Во французском городе Сете в рыбацком квартале дома охраняют chats ninjas entraînés, натренированные кошки-ниндзя, если верить табличке, mes gâtés. А на второй табличке, кстати, совсем на философском что-то: ce chat médite sur l’absurdité de votre existence, этот кот медитирует (в современном французском используется в том числе значении «размышляет») над абсурдностью вашего существования, окак. Вот такие мамкины шу…

❤27😁7🔥1🥰1

Showing the 12 most recent of 56 posts we hold for @fuckingfrench. 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

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 1 registered channel — 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.

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.

А как там в Париже?🇫🇷
@marie_paris · 64,090
Telegram ranks this channel #22 of 94 here — alongside 93 others — read 21 August 2026
Французский язык / Francais
@le_francais_french · 43,874
Telegram ranks this channel #58 of 96 here — alongside 95 others — read 28 August 2026
Аудиокурсы Langme
@langme_ru · 38,393
Telegram ranks this channel #83 of 97 here — alongside 96 others — read 31 August 2026
French School TV
@frenchschooltv · 50,201
Telegram ranks this channel #85 of 85 here — alongside 84 others — read 2 October 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total, of which the 4 where it ranks highest are shown above. 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“C’est Marseille, bébé” (@fuckingfrench), 7,380 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/fuckingfrench.

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.