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Channel

ФРАНЦУЗСКИЙ ЯЗЫК | Lana SABY

@french_avec_lana

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

18,176subscribers

+52 since we began measuring on 28 August 2026

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

Register entry

Telegram ID-1001420940620
TypeChannel
Username@french_avec_lana
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live17 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/french_avec_lana

Topic

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 12 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 why it has no browse page of its own yet.

Growth

18,12418,18318,153.528 August 2026 — 18,124 subscribers29 August 2026 — 18,131 subscribers30 August 2026 — 18,135 subscribers1 September 2026 — 18,138 subscribers2 September 2026 — 18,162 subscribers4 September 2026 — 18,167 subscribers6 September 2026 — 18,163 subscribers10 September 2026 — 18,173 subscribers12 September 2026 — 18,183 subscribers13 September 2026 — 18,177 subscribers15 September 2026 — 18,161 subscribers17 September 2026 — 18,176 subscribers18,17628 August 202617 September 2026
12 measurements spanning 20 days, net +52. 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 18,115–18,192 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 20:5718,176+15
15 Sept 2026, 17:4018,161-16
13 Sept 2026, 23:2118,177-6
12 Sept 2026, 08:4018,183+10
10 Sept 2026, 02:3618,173+10
6 Sept 2026, 21:4118,163-4
4 Sept 2026, 05:5618,167+5
2 Sept 2026, 20:5418,162+24
1 Sept 2026, 20:0418,138+3
30 Aug 2026, 14:3518,135+4
29 Aug 2026, 15:0218,131+7
28 Aug 2026, 19:3018,124first reading

Engagement

22 posts held, back to 24 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.27%
avg views ÷ 18,176 subscribers
Avg views / post
1,500
20 posts measured
Reaction rate
2.29%
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. It is computed over the 17 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held22 (24 August 20262 September 2026)
Views total30,051
Reactions total602
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:55 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
4m 14s
Average length
42s

Measured directly from 6 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

679 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 54.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
36954.3%
👍17826.2%
🔥497.22%
😁253.68%
🌭213.09%
👏213.09%
🥰40.589%
30.442%
😢30.442%
❤‍🔥20.295%
💘10.147%
😍10.147%
🤔10.147%
🤗10.147%

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 19 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 679 reactions 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 24 August 2026 to 2 September 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

2 Sept 2026, 13:20 UTC811 views13 reactionsread 3 September 2026

Coucou, mes chers élèves 👋 📌Сегодня утром вышел мой новый урок на тему У ВРАЧА 60+ фраз на автомате. Если вы ещё не успели его посмотреть - можете забрать его прямо здесь 👉 ХОЧУ СМОТРЕТЬ УРОК 🇫🇷🇫🇷🇫🇷🇫🇷🇫🇷🇫🇷🇫🇷

9🔥3🌭1

Signed TelepostBot

1 Sept 2026, 17:34 UTC≈1,180 views8 reactionsread 3 September 2026

РАССКАЗАЛА БОЛЬШЕ ТУТ 👇👇👇 https://frenchcourslana.tilda.ws/ https://frenchcourslana.tilda.ws/ https://frenchcourslana.tilda.ws/

7👍1

31 Aug 2026, 17:36 UTC≈1,440 views26 reactionsread 3 September 2026
Video

Как и обещала вчера - сегодня я для вас записала убойный урок 😄🇫🇷 Покажу, как учить французский без зубрёжки на теме «У врача». Мы возьмём 16 базовых фраз и будем каждую постепенно наращивать. В итоге у вас получится около 64 готовых разговорных конструкций, которые вы не будете мучительно заучивать - вы их просто нормально отработаете. Вам останется приготовить тетрадку и две ручки ✍️ Сегодня на съёмку ушло почт

👏118🥰4🌭21

30 Aug 2026, 16:56 UTC≈1,570 views14 reactionsread 3 September 2026

🇫🇷 Обещала вам даты нового набора. 📌 Платформа уже открыта - посмотреть программу и записаться можно по ссылке ниже 👇 https://frenchcourslana.tilda.ws/ https://frenchcourslana.tilda.ws/ 📌 Новый поток групп с моей обратной связью ЧАЙНИКИ А0-А2 и ПОГНАЛИ А1-В1 стартует 14 сентября. Последний набор был ещё в мае, поэтому наконец объявляю новый 😊 👉 https://frenchcourslana.tilda.ws/ 👉 https://frenchcourslana.tilda.ws/

13🌭1

30 Aug 2026, 16:55 UTC≈1,520 views27 reactionsread 3 September 2026

https://youtu.be/ce1ghvsE8Po

22👍4🌭1

30 Aug 2026, 16:45 UTC≈1,440 views13 reactionsread 3 September 2026
Video message

Video message, posted without a caption

13

29 Aug 2026, 07:47 UTC≈1,780 views51 reactionsread 3 September 2026
Photo

😅😢 У кого еще такой же бред в голове? Это не я придумываю - это вы мне такое в комментах пишите 😘 Зачем вы все зубрите 🙈 Нужно просто учить так, чтобы до автоматизма вылетало и все!!! И это абсолютно реально 💯 Мы вчера с учениками на платформе решили, что будем каждый месяц учить от 150 разговорных тематических фраз плюсом к основному обучению всего за две недели в месяц! Только вдумайтесь! ✅ 150 готовых фраз не ❌

37🔥11🌭3

28 Aug 2026, 19:15 UTC≈1,690 views43 reactionsread 3 September 2026
Video

Voilà, вы просили рецепт на французском 😉😅 Bonne chance 🍀

32🔥11

28 Aug 2026, 19:14 UTC≈1,680 views6 reactionsread 3 September 2026

Очень вкусная подлива для Кусь - Кусь ! Мне предоставилась такая возможность побывать в ресторане города Париж , это сытно и недорого, очень и очень вкусненько 😋😋😋 Вы ,- очень вкусно всегда говорите , Лана ! А нам бы - то, что вы сказали и на французском, пожалуйста 🙏, если можно, конечно… 😌😉 Мы так быстрее будем соображать 🫣🤣😉 Merci pour votre compréhension 🤗 🫶🫶🫶

4🌭2

28 Aug 2026, 12:37 UTC≈1,560 views46 reactionsread 3 September 2026
Video

Пол дня на это удовольствие нужно 😅😅😅 Главное, чтобы муженек был сыт и доволен 😅

😁25👍18❤‍🔥2🌭1

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

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.

Французский язык / Francais
@le_francais_french · 43,689
Telegram ranks this channel #19 of 96 here — alongside 95 others — read 28 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“ФРАНЦУЗСКИЙ ЯЗЫК | Lana SABY” (@french_avec_lana), 18,176 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/french_avec_lana.

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.