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 13 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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
12 measurements spanning 39 days, net -3. 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 5,249–5,266 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 19:02
5,258
+7
12 Sept 2026, 09:40
5,251
-1
8 Sept 2026, 12:40
5,252
-6
2 Sept 2026, 23:05
5,258
-2
30 Aug 2026, 20:27
5,260
-3
27 Aug 2026, 22:23
5,263
-1
24 Aug 2026, 15:17
5,264
+3
20 Aug 2026, 16:44
5,261
+3
17 Aug 2026, 17:06
5,258
-2
11 Aug 2026, 04:22
5,260
-1
7 Aug 2026, 14:46
5,261
no change
7 Aug 2026, 14:35
5,261
first reading
Engagement
9 posts held, back to 27 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 7 pages 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 9 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 42s
Average length
47s
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
544 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 44.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
241
44.3%
🔥
209
38.4%
❤🔥
47
8.64%
🥰
28
5.15%
😍
8
1.47%
👏
5
0.919%
💯
4
0.735%
👍
1
0.184%
🤝
1
0.184%
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 9 of the 9 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 544 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 27 July 2026 to 11 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.
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Жемчужина бокса конечно же книга по вязанию *Воротничков* крючком. Десять авторских моделей с подробными схемами и видео. Расписан каждый ряд, справится даже новичок👌🏻 Открывайте, вяжите и наслаждайтесь!
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_
Бокс дополнен пряжей от @olgadursun_yarn , печатной пр…
Мари теперь просит этот костюм в других оттенках🤪 и я ее прекрасно понимаю😂😍
BTS❤️
__
Жакет и юбочка связаны по мастер классам #love_33helga
Приобрести мк можно на сайте olgapronoza.com или пишите хочу мк и я свяжусь с вами сама.
Невероятно уютные джемпера #fantasy_jumper_33helga универсальны на любую погоду, а вышивка нежно разнообразит базовый вариант💕
_
На все детские и взрослые размеры. Мастер классы по вязанию и вышивке на сайте olgapronoza.com или пишите хочу мк и я свяжусь с вами сама.
Джемпер детский https://olgapronoza.com/Shop/fantasy_jumper_33helga
Джемпер взрослый https://olgapronoza.com/Shop/bigfantasy_jumper_33helga
Вышивка…
Благодарна любой погоде…мне лишь бы не дождь. А заняться есть чем всегда👌🏻
Этим летом не отпускает крючок, тк все время гуляем и можно вязать даже на ходу. А милые аксессуары крючком классно дополняют даже самый простой образ.
Какой воротничок #love_33helga связала в подарок для нашей местной подружки💕
Мастер класс по вязанию можно найти на моем сайте olgapronoza.com или пишите хочу мк и я свяжусь с вами сама.
Кос…
Мои главные мотиваторы в вязании конечно же дети💕💕💕
Когда Сеня идет впереди в моей вязаной кофте, у меня аж дыхание перехватывает…честно🙈😂 как же круто уметь что-то делать, что приносит такое наслаждение!
А что умеете вы? Вышиваете или торты печете? Это так круто иметь любимое хобби. И скучать некогда.
#boho_vest_33helga
Все лето эти цветовые «квадраты» не отпускают меня. На этот вариант выбирала уже осенние оттенки, чтобы были актуальны и ранней осенью.
Хочется еще и маленький успеть связать🙈надеюсь Маруся @r_us_ya поможет😀
🔥35❤14❤🔥9
Signed Оля П
Showing the 9 most recent of 9 posts we hold for @olga33helga. 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 3 registered channels — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@olga33helga named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@olgadursun_yarn named in 1 post, 9 August 2026 – 9 August 2026
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“33helga” (@olga33helga), 5,258 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/olga33helga.
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.