4 measurements spanning 13 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 130–131 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Oct 2026, 17:30
130
-1
6 Oct 2026, 07:14
131
+1
1 Oct 2026, 15:22
130
no change
1 Oct 2026, 14:47
130
first reading
Engagement
10 posts held, back to 7 August 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
26.9%
avg views ÷ 130 subscribers
Avg views / post
35.0
2 posts measured
Reaction rate
17.1%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 29 September 2026
Posts held
10 (7 August 2026 – 29 September 2026)
Views total
70
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 15:22 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
1m 03s
Average length
16s
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
95 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 46.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
44
46.3%
❤
29
30.5%
custom 5447625746744879896
11
11.6%
🍓
5
5.26%
custom 5220069080798611448
4
4.21%
custom 5370915878491665291
1
1.05%
💋
1
1.05%
Custom emoji. 3 of the rows above are 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 10 of the 10 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 95 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 7 August 2026 to 29 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.
Telegram Stars
Stars received
12
across the posts below
Posts paid on
2
of 10 we hold a reading for · 20%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jewelry_anna_barysheva. 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 10 most recent posts we hold for this entry, published 7 August 2026 to 29 September 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.
Пушистые текстуры в новом прочтении: меховые украшения — самый уютный (и немного сюрреалистичный) тренд сезона.
Мех перебирается в наши шкатулки! Когда за окном холодает, инстинкт самосохранения подсказывает одно: укутаться с ног до головы. Но дизайнеры в этом сезоне пошли ещё дальше и решили утеплить… наши украшения. И получилось неожиданно эффектно.
Я всегда за то, что сезонных украшений не существует: любимые ак…
Вернемся к коллекции «Влюблённость» ❤️
В этом кольце нет ни одной правильной линии 💍
Гладкие капли серебра соседствуют с ажурными пустотами, собираясь в сложный, почти случайный рельеф. ✨
В большинстве капель закреплены небольшие камни — кубические цирконии. При движении руки поверхность постоянно меняется: одни фрагменты ловят свет, другие исчезают в тени, а камни вспыхивают при каждом повороте. 💎
Кольцо получил…
Сегодня покажу вам кольцо, которое я сделала для предстоящей выставки 💍✨
Как-то с друзьями мы обсуждали вопрос о том, кто как представляет себе время ⏳
Кто-то видит его линейно — из прошлого в будущее.
Кто-то — по кругу, от сезона к сезону.
А кто-то — отдельными точками: событиями, из которых складывается жизнь.
С первого взгляда это кольцо — просто детская карусель 🎠. Но на самом деле - это «Карусель времени».
О…
Почему цветок начал растекаться? 🌸🤔
Мне хотелось перевести в изделие мысль о том, что влюблённость постепенно меняет человека. 💘✨
Некоторые выводы ИИ близки человеческому восприятию, но нет романтических символов, есть процессы: изменение, взаимное влияние, развитие, трансформация связей.
Лепим нужную форму, вот обычный цветок начал превращаться … 🎨🔄
Это небольшой фрагмент нашей переписки 💬.
Именно после этих ответов мне захотелось придумать серию украшений «Чувства глазами ИИ» 💎✨.
И начать я решила с влюблённости 💘.
Мы всё чаще говорим о том, что искусственный интеллект пишет тексты, рисует картины 🎨, помогает создавать музыку 🎵 и дизайн.
И в какой-то момент я поймала себя на мысли:
А может ли он понять чувства, которое сам никогда не испытывал? ❤️ может ли мечтать?
Хотелось понять, как искусственный интеллект объясняет то, что веками пытались объяснить поэты 📜, художники и музыканты 🎶.
Именно с этого разговора неожиданно нач…
Мне всегда интересно, как украшения, появившиеся в разное время, начинают жить рядом ✨💍
Сегодня надела кольцо, которое сделала несколько лет назад ⏳
И рядом — два, над которыми закончила работать совсем недавно 🆕
Кажется, они должны были встретиться 💫
Почему одни украшения хочется носить каждый день, а другие — нет? 🤔
Конечно, дело не только в дизайне 🫶✨
Иногда всё решают детали, которые почти невозможно заметить: толщина кольца, радиус изгиба, то, как металл касается пальца ✨.
Именно поэтому в мастерской так много разных инструментов 🔧.
Каждый нужен для одной небольшой задачи 🎯.
А из десятков таких маленьких решений потом складывается ощущение, что украшение…
❤🔥4❤2custom 52200690807986114481
Signed Анна 💍
Showing the 10 most recent of 10 posts we hold for @jewelry_anna_barysheva. 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.
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 14 October 2026 — this
entry's latest reading, not the date you are reading this.
“Ювелирные украшения Barysheva” (@jewelry_anna_barysheva), 130 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/jewelry_anna_barysheva.
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.
