Art & design — 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 3 October 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
4 measurements spanning 66 days. 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 148–149 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 21:46
148
-1
3 Oct 2026, 04:01
149
+1
8 Aug 2026, 20:31
148
no change
8 Aug 2026, 00:07
148
first reading
Engagement
9 posts held, back to 28 August 2025 — 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 9 posts for this entry, the most recent from 5 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
44s
Average length
22s
Measured directly from 2 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
190 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 53.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
101
53.2%
🔥
50
26.3%
😍
17
8.95%
🥰
8
4.21%
❤🔥
5
2.63%
👍
4
2.11%
⚡
2
1.05%
🆒
1
0.526%
🍓
1
0.526%
💯
1
0.526%
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 8 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 190 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 28 August 2025 to 5 March 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.
Telegram Stars
Stars received
12
across the posts below
Posts paid on
3
of 8 we hold a reading for · 38%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @verakolesnikovajewelry. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 9 most recent posts we hold for this entry, published 28 August 2025 to 5 March 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Помните тюльпаны Веры Колесниковой?🌷
*Вера — гордость Дома Боне, талантливейший художник-ювелир и наш близкий друг, который с нами с самого основания нашего дома 🫂
А в этом видео её потрясающая история про тюльпаны! Смотрите!
🔥— я помню
❤️— я нет
🌷«Цветы снаружи - цветы внутри» или «цветы внутри - цветы снаружи»?
Наш совместной с Ией Милашиной проект «Форма любви» можно увидеть в арт-пространстве «Дом Боне» до 3 декабря включительно.
На фото фрагменты экспозиции в соавторстве с солнечным светом.
К выставке «Приданое» в Мюнхене я создала наладонный браслет с третьим тюльпаном.
💐 И сейчас, в рамках нашего проекта с художницей Ией Милашиной «Форма любви», эти три тюльпана символизируют трех женщин семьи - мать, дочь и сестру. А также, неразрывную связь поколений.
Удивительная история о том, как мой отец задолго до знакомства с мамой, создал то, что будут беречь как семейную ценность и символ безусловной любви…
Интересно, как в процессе работа может обрастать смыслами и обретать еще большую ценность и глубину.
Мой папа - Николай Колесников - душа компании, любит петь и играть на гитаре. Он никогда особо не увлекался тем, чтобы что-то создавать руками, мастерить. Был однажды такой период в молодости. Из него сохранилась пара вещей. От этого тюльпаны еще ценнее ❤️
🌷Изначально были взяты для украшения только два тюльпана. Ко…
Один из образов советского прошлого, который достался мне в качестве вещественного приданого – это изделия из оргстекла. В доме у бабушки с дедушкой были разные предметы из этого материала: держатели для гардины, декор для часов, шкатулка. Что-то вырезали сами мои дедушка и отец. Детали настольного украшения, которое больше всего я любила разглядывать в детстве, я сделала центральным элементом в своей работе «Лелеять…
Двойное колье и наладонный браслет «Лелеять Лилейные»,
нейзильбер, оргстекло, 2024 г. и 2025 г.
Эта работа создавалась для проекта «Приданое», который был показан 20-29 сентября 2024 в Тбилиси и на Munich Jewellery Week 2025.
#лелеятьлилейные
Сегодня словила дзен от работы🌀
Обожаю такую степень вовлеченности, когда не чувствуешь времени и все внимание на процессе.
💗 Именно в состоянии потока создавалась коллекция «Спирали вечности». Без детальных эскизов и размеров. Чистое творчество в моменте с любовью к материалу и форме.
Украшение из этой коллекции, которое я не повторяла с марта в наличии.
Два кольца «Спирали вечности» готовы занять место на ваших р…
❤11😍5🔥3👍1🆒1
Showing the 9 most recent of 9 posts we hold for @verakolesnikovajewelry. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“Vera Kolesnikova Jewelry” (@verakolesnikovajewelry), 148 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/verakolesnikovajewelry.
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.