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 21 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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
5 measurements spanning 42 days, net -2. 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 412–418 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:20
415
+2
10 Sept 2026, 00:16
413
-2
23 Aug 2026, 17:44
415
-2
8 Aug 2026, 05:33
417
no change
7 Aug 2026, 18:23
417
first reading
Engagement
4 posts held, back to 24 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 1 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
46s
Average length
15s
Measured directly from 3 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
92 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 38.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5350311743551718601
35
38.0%
custom 5363890785169195235
30
32.6%
custom 5350613752767071190
19
20.7%
custom 5451788970214052260
5
5.43%
custom 5363810671144223254
3
3.26%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 4 of the 4 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 92 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 24 July 2026 to 1 August 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.
Отчет по количеству макияжей и маникюров за прошедший месяц🌷
За июЛь получилось такое!
Итак:
🌟21 макияж (это прям хорошо, много, по моим меркам)
🌟6 маникюров. Тоже хорошо! Можно сказать, что это моё стандартное количество, когда я ношу лак до его сколов. Редко бывает больше!
#sne_итоги
Седьмой макияж с палеткой «Magical Dust» SODA X WINX🦋
Из палетки «Magical Dust» SODA X WINX тут:
- матовый светло-желтый "Home World" для верхнего века;
- сияющий серо-мятный с разноцветными блесточками "Magix" для подвижного века;
- матовый бирюзовый "Water Stars" для внутреннего уголка;
- матовый кофейный "Rescue" на нижнем веке и внешнем уголке.
*тушевала белым матовым ColourPop
Еще в макияже:
Глаза:
- база для…
Шестой макияж с палеткой «Magical Dust» SODA X WINX🧡
Из палетки «Magical Dust» SODA X WINX тут:
- матовый с блесточками темно-оранжевый "Final Exam" для затемнения внешнего уголка и нижнего века;
- матовый светло-желтый "Home World" для внутреннего уголка;
- матовый светло-оранжевый "Crown" для тушевки;
- сияющий желтый "Wings" для подвижного века;
- сияющий серо-мятный с разноцветными блесточками "Magix" для части …
Пятый макияж с палеткой «Magical Dust» SODA X WINX😊
Из палетки «Magical Dust» SODA X WINX тут:
- матовый с блесточками темно-оранжевый "Final Exam" для затемнения внешнего уголка;
- матовый светло-розовый "Butterfly" для тушевки;
- матовый розовый "Dust" для нижнего века;
- матовый светло-желтый "Home World" на часть верхнего века;
- сияющий розовый "Universe" на подвижном веке;
- сияющий темно-розовый "Sacrifice" н…
Showing the 4 most recent of 4 posts we hold for @snezhochek_beauty. 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.
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.
готовим вкусно @gotovim33 · 177,452 Telegram ranks this channel #19 of 27 here — alongside 26 others — read 21 August 2026
Darianadar Makeup Lab @darianadar · 66,661 Telegram ranks this channel #56 of 69 here — alongside 68 others — read 20 August 2026
RAD SAID WHAT?! @rad_not_bad · 26,083 Telegram ranks this channel #60 of 61 here — alongside 60 others — read 12 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Снежочек в мире макияжа” (@snezhochek_beauty), 415 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/snezhochek_beauty.
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.