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 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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
63 measurements spanning 94 days, net +4,762. 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 17,249–26,435 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 02:28
24,220
+366
8 Nov 2026, 17:34
23,854
-325
7 Nov 2026, 12:25
24,179
-262
6 Nov 2026, 09:54
24,441
-208
5 Nov 2026, 10:39
24,649
-349
4 Nov 2026, 10:56
24,998
-377
3 Nov 2026, 08:39
25,375
+68
2 Nov 2026, 06:59
25,307
+164
1 Nov 2026, 03:49
25,143
+263
31 Oct 2026, 02:39
24,880
+103
30 Oct 2026, 01:59
24,777
+40
29 Oct 2026, 04:00
24,737
-99
28 Oct 2026, 04:10
24,836
+16
27 Oct 2026, 00:37
24,820
-45
26 Oct 2026, 00:46
24,865
-13
25 Oct 2026, 03:48
24,878
-44
24 Oct 2026, 04:19
24,922
+81
23 Oct 2026, 04:57
24,841
+129
22 Oct 2026, 05:39
24,712
+65
20 Oct 2026, 23:39
24,647
first reading
Engagement
67 posts held, back to 28 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 136 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.7%
avg views ÷ 24,220 subscribers
Avg views / post
5,270
22 posts measured
Reaction rate
11.2%
reactions ÷ views · ER floor
Posts in window
22
of 67 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 9 November 2026
Posts held
67 (28 July 2026 – 9 November 2026)
Views total
115,860
Reactions total
12,945
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 21:51 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
16m 01s
Average length
46s
Measured directly from 21 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
38,293 reactions across 67 posts, in 7 distinct kinds. The most used accounts for 42.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16,117
42.1%
🤗
7,989
20.9%
🐳
6,841
17.9%
👍
2,298
6.00%
😍
1,992
5.20%
🔥
1,985
5.18%
✍
1,071
2.80%
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 67 of the 67 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 38,293 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 28 July 2026 to 9 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 22 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).
Ocarina of Time
Вовсю прохожу игру. Уже позади 70% примерно, осталось всего-то найти все 100 пауков и победить Ганондорфа. Не знаю, как дети проходили эту игру в 1998 году, потому что она местами очень серьезная/страшная. Одни Редеад чего стоят 🙈
А на метакритике у игры 96 баллов. Пока у оригинала 1998 года больше - 99 баллов.
Как прошли ваши выходные? Чем занимались?
Все ответы внутри тебя. Как перестать бороться с собой и направить внутреннюю силу на исполнение желаний Джозеф Нгуен
Делюсь еще одной маленькой по объёму книгой, в которой ёмко разложена информация, как мысли привести в порядок, убрать лишнюю тревожность от них.
Я могу иногда в такие "дебри" себя загнать в голове, что учусь останавливать этот бесконечный поток. И позитивные мышление тот навык, который постепенно п…
С началом мини-отдыха
Осталось чуть больше дня до выхода ремейка Ocarina of Time 😅 Очень жду и настраиваюсь на плотную игру 😅
😅И у меня новая кружечка из Самоката. Нравится очень надпись😅
Делитесь кадрами своих любимых чашек 😅
БОМБОРА BigDay 2026 — книжный праздник в 9 городах! 🏄♂️
С 12 по 15 ноября издательство БОМБОРА приглашает на встречи с авторами, презентации новинок и спецмероприятия о моде и книжном блогинге.
Что ждет гостей:
〰️ встречи с Шахназ Сайн, Ташей Муляр, Львом Лурье, Ярославой Рындиной и другими;
〰️ новинки: «Дом на Птичьем острове. Книга третья: Белый ворон» (Таша Муляр), «Страсти по Драмионе» (Ярослава Рындина), кн…
Книги "Мадлен", которые поместятся в любую сумочку, и это не французское печенье
У Бомборы вышла серия книг об искусстве, культуре, философских эссе и т.д.
Все книги в одном стиле, маленькие и приятные тактильно. Их удобно взять с собой и насладиться чтением за чашечкой кофе под звуки дождя. И мне нравится, что во многих книгах есть внутри даже иллюстрации 🌟
Ссылочки на все книги:
🌟Частная жизнь импрессионизма. Пи…
Границы равно свобода. Как перестать жить ради чужих ожиданий и освободить место в жизни для себя Джозеф Нгуен
Будем честны, периодически возникают ситуации, где нам становится дискомфортно, но мы остаемся "на месте". Мы как будто "изменяем" своему мнению, ощущению происходящего, что что-то не нравится. До прочтения книги, когда слышала про границы, считала, это касается только общения с другими людьми. Но в этой ма…
Тон. Помада.
Решила попробовать очень лёгкий макияж с акцентом на губы. Рассказываю про каждый продукт (ссылки в названиях):
База под макияж ESTEE LAUDER futurist aqua brilliance watery glow primer
У меня сейчас кожа не в лучшем состоянии, так как выпила пару чашек кофе с обычным молоком и сыра поела 🥺Но база мне понравилась, всё равно немного сгладила тон. Увлажняет кожу приятно
Тональный крем ESTEE LAUDER futuri…
05/11/2026 😅
Давно я так не ждала конкретный день в году. Летом все узнали, что выходит ремейк игры The Legend of Zelda: Ocarina of Time. Кстати, впервые Ocarina of Time вышла в 1998 году 😅
Ремейк приурочен к важному году. Первая часть серии The Legend of Zelda вышла в 1986 году. То есть серии в этом году целых 40 лет.
И спасибо огромное Бомборе, что выпустили красивую книгу в честь такой важной даты, которую допо…
Бургунди макияж глаз
Для него использовала 2 основных продукта:
🌟NAJ OLEARI burgundy silk
🌟NAJ OLEARI click on me extra volume
Эта коллекция мне так нравится. Продукты качественные получились.
Тушь уже третья от бренда. Есть ещё чёрная, коричневая. Щелчок такой приятный 🌟
Как вам макияж? Получился осенним?
Маленькие пушистики
Очень люблю на память в разных местах покупать миленькие игрушки/брелоки.
И знаю, где и при каких обязательствах брала каждый. Самая старенькая на кадрах выдра 🦦 из Белгорода, а новый утконос из Курска
Как вы как относитесь к плюшевым игрушкам, "мелочам на память"?
❤237🐳182🤗157
Showing the 12 most recent of 67 posts we hold for @notesofamintlatte. 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.
Posts recorded as deleted after publishing
We recorded 6 posts on @notesofamintlatte 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
7 October 2026
Median time before seen missing
47 hours
Seen missing in the last 30 days
0
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Мятный Латте” (@notesofamintlatte), 24,220 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/notesofamintlatte.
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.