Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 15 October 2026 and assigned it the closest of 31 fixed categories, at 94% 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
16 measurements spanning 24 days, net +1,066. 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 11,499–13,658 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Oct 2026, 23:34
13,409
+10
24 Oct 2026, 00:46
13,399
+36
23 Oct 2026, 01:08
13,363
-38
22 Oct 2026, 00:39
13,401
+831
20 Oct 2026, 22:17
12,570
-47
19 Oct 2026, 22:34
12,617
-46
18 Oct 2026, 21:16
12,663
-51
17 Oct 2026, 20:40
12,714
-117
16 Oct 2026, 18:49
12,831
-44
15 Oct 2026, 22:07
12,875
-100
15 Oct 2026, 00:47
12,975
-48
13 Oct 2026, 17:36
13,023
+573
10 Oct 2026, 02:39
12,450
+702
5 Oct 2026, 20:42
11,748
-595
30 Sept 2026, 20:22
12,343
no change
30 Sept 2026, 19:47
12,343
first reading
Engagement
5 posts held, back to 27 September 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.25%
avg views ÷ 13,409 subscribers
Avg views / post
436
5 posts measured
Reaction rate
15.5%
reactions ÷ views · ER floor
Posts in window
5
of 5 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 30 September 2026
Posts held
5 (27 September 2026 – 30 September 2026)
Views total
2,182
Reactions total
338
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 20:22 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
2m 17s
Average length
34s
Measured directly from 4 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
338 reactions across 5 posts, in 9 distinct kinds. The most used accounts for 21.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
71
21.0%
🔥
70
20.7%
🦄
67
19.8%
❤🔥
61
18.0%
🎉
51
15.1%
🥰
11
3.25%
💘
4
1.18%
🤩
2
0.592%
😍
1
0.296%
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 5 of the 5 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 338 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 27 September 2026 to 30 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.
Небольшой вайб Burgundy 🍒
Захотелось сделать какой-то простой осенний макияж, попробовала для себя новый формат роликов, и заодно протестировала красоту от Oncemore, давно смотрела на этот бренд, влюбилась с первого касания 🍓
🐩 Что по продуктам
🌾 Румяна в оттенке 04 Antique Pink
Очень нежные, вкусно пахнут сладостью, хорошо распределяются и продукт в спонж почти не впитывается
⭐️ Хайлайтер в оттенке 02 Metallic C…
Новый флакончик в коллекцию 🔥
Летом заглянула во флагманский магазин Zielinski, купила аромат, который очень хотела и роскошный полудрагоценный бирюзовый браслет 🥑
👼 Ноты аромата
• Базовые ноты: шафран, грейпфрут, элеми, табак
Очень приятный, в меру сладкий и свежий, сильно в нос бьет табак, подробно свои ощущение рассказала в ролике с нейрослопным монтажом, наслаждайтесь ✨
#удушительароматов
Продолжаю вас кошмарить уходовыми банками 🌟
Взяла на тест продукты от Cebreva Lab, всего 4 продукта, которые закрывают полноценный уход, сейчас расскажу, что и почему зашло 😊
🤍 Очищающий гель
Очень хорошая базовая банка, понравилось, что ее можно использовать и для лица, и для тела, в составе уголь и растительные экстракты для контроля жирности, есть пантенол, бетаин и овес, чтобы после умывания кожа не стала нажда…
Косметичка Бель 🌹📚
Решила переключиться и немного пофантазировать на тему мультипликации, начала со своей самой любимой принцессы - Бель, легенда, "Красавица и чудовище"! Очень хочется передать ее легкий и нежный, но в то же время сильный и отважный вайб 💘
🍒 База: Embryolisse Lait-Crème Concentré
Бель не стала бы собирать уход из десяти банок, хороший увлажняющий крем, после которого кожа мягкая и тон ложится ровне…
Немного приболела, восстанавливаюсь косметосом 🤍
Осенняя хандра - не хандра, но простуда по расписанию, стараюсь поднять себе настроение новыми продуктами, и внезапно для себя влюбилась и открыла бренд Elian, гад блесс, как они хороши!!! 🎀
Как я жалею, что обходила этот бренд стороной, и очень зря, потому что это просто красота, начала знакомиться с коллекции Summer Garden, влюбилась в пептидный бальзам в оттенке S…
❤20❤🔥17🦄15🔥10🥰5🎉4💘4
Showing the 5 most recent of 5 posts we hold for @paletka_zaxara. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Палетка Захара 🫰🏽” (@paletka_zaxara), 13,409 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/paletka_zaxara.
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.
