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🏹 по всем вопросам: @sayli_lanng
Created
Between 1 June 2026 and 5 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 15 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
19 measurements spanning 89 days, net +7,862. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Nov 2026, 11:26
8,513
+126
1 Nov 2026, 02:54
8,387
+105
29 Oct 2026, 07:47
8,282
+111
26 Oct 2026, 01:58
8,171
+85
22 Oct 2026, 15:47
8,086
+136
19 Oct 2026, 08:29
7,950
+80
16 Oct 2026, 07:36
7,870
+157
13 Oct 2026, 01:18
7,713
+1,690
6 Oct 2026, 18:38
6,023
+328
29 Sept 2026, 22:57
5,695
+893
19 Sept 2026, 17:41
4,802
+2,023
14 Sept 2026, 23:17
2,779
+382
11 Sept 2026, 09:18
2,397
+656
6 Sept 2026, 21:57
1,741
+808
29 Aug 2026, 04:11
933
+45
23 Aug 2026, 00:26
888
+116
14 Aug 2026, 22:26
772
+121
8 Aug 2026, 02:46
651
no change
7 Aug 2026, 16:17
651
first reading
Engagement
48 posts held, back to 5 August 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 8 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.8%
avg views ÷ 8,513 subscribers
Avg views / post
920
28 posts measured
Reaction rate
4.54%
reactions ÷ views · ER floor
Posts in window
28
of 48 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 6 November 2026
Posts held
48 (5 August 2026 – 6 November 2026)
Views total
25,756
Reactions total
1,169
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 11:07 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
542
Videos
208
Links
71
Lifetime counters from Telegram’s own channel header, read 6 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 32s
Average length
36s
Measured directly from 11 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
1,469 reactions across 48 posts, in 6 distinct kinds. The most used accounts for 34.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
504
34.3%
🍓
262
17.8%
❤🔥
258
17.6%
🔥
236
16.1%
💘
134
9.12%
🕊
75
5.11%
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 48 of the 48 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 1,469 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 5 August 2026 to 6 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: 0 of 28 posts held from the last 30 days (0%) 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).
🐟 узнаем, что за сладкие рыбки продают на улицах кореи
это 붕어빵 — выпечка в форме рыбки, особенно популярная в холодное время года
🤎тесто заливают в металлическую форму, добавляют начинку и выпекают до хрустящей корочки
классический вариант: со сладкой пастой из красной фасоли, но есть и с заварным кремом 🍮
✧ 붕어 — карась
✧ 빵 — хлеб, булочка
붕어빵 두 개 주세요
дайте две рыбки, пожалуйста
두 개 — две штуки
주세요 — дайте, пож…
🍞 маленькая история на испанском
🍓 cada domingo, la abuela de clara servía una tarta de fresas que toda la familia adoraba
— abuela, ¿me das la receta?
— todavía no, es un secreto
clara imaginaba una receta antigua, escrita a mano y guardada en un cajón
🧁 un día llegó antes de lo habitual y encontró a su abuela sacando una tarta de una caja de la pastelería
durante unos segundos, ninguna de las dos dijo nada
— …
учим полезную фразу! 🥟
🍙 趁热吃!
chèn rè chī!
ешь, пока горячее!
🍚 趁
chèn
пока есть подходящий момент или условие
🍜 热
rè
горячий
🧀小心烫!
xiǎoxīn tàng!
осторожно, горячо — можно обжечься!
#китайский #сэйли
🍰 разбираем сложное условное предложение
[ c1 · инверсия + пассивный залог ]
had the pastry not been chilled beforehand, it might well have shrunk in the oven
если бы тесто предварительно не охладили, оно вполне могло бы сжаться в духовке
здесь сразу несколько конструкций ⤵️
🧈 had the pastry not been chilled
обычный порядок слов выглядел бы так:
if the pastry had not been chilled
в более формальном стиле можно убр…
на случай, если любите яйца только с определенным желтком 🍳
a yolk /jəʊk/ — желток
an egg white — яичный белок
🥚 a runny yolk
жидкий, текучий желток
🥚 a firm yolk
плотный, полностью приготовленный желток
i like my eggs with a runny yolk
🍡 runny пригодится и для других продуктов
this sauce is too runny
#английский #сэйли
une tartine, s’il vous plaît 🥐
🍞 une tartine /taʁtin/
ломтик хлеба с чем-нибудь намазанным или выложенным сверху
🧈 une tartine beurrée
ломтик хлеба с маслом
🍓 une tartine à la confiture
ломтик хлеба с вареньем или джемом
🍞une tartine à l’avocat
открытый бутерброд с авокадо
je préfère les tartines salées
la confiture /kɔ̃fityʁ/ — варенье, джем
un avocat /avɔka/ — авокадо
#сэйли #французский
сегодня весь день будем говорить о еде и готовке 🍜
собрали кухонные выражения на разных языках, маленькие истории и вкусные слова: от самых простых до тех, которые удивят даже на высоком уровне
🍰будем читать рецепты, разбираться в текстурах и учиться объяснять, что именно получилось на кухне
ставим реакции и сохраняем полезное 🍇
наша маленькая коллекция сэйли ⭐️
английский, французский, испанский и немного творчества!
все, чтобы изучать языки было еще приятнее ♡
какой словарик забрали бы себе первым? ✨
🪭 弹幕
dànmù
комментарии, которые появляются поверх видео и часто движутся по экрану
на китайских видеоплатформах, например bilibili, они привязаны к определенному моменту ролика 📺
✧ поэтому люди могут смотреть видео в разное время, но видеть реакции на одну и ту же сцену
弹幕比视频还好笑
dànmù bǐ shìpín hái hǎoxiào
комментарии поверх видео еще смешнее самого ролика
#сэйли #китайский
⭐️ отзывы от подписчиц
спасибо вам за приятные слова и отметки!!
❤🔥33❤14🔥8🍓3
Showing the 12 most recent of 48 posts we hold for @sayli_lang. 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.
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.
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.
“сэйли ✿ языковое пространство” (@sayli_lang), 8,513 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/sayli_lang.
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.