2 measurements spanning 3 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 56–58 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 06:45
57
no change
7 Aug 2026, 00:18
57
first reading
Engagement
7 posts held, back to 1 December 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 pageof 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 7 posts for this entry, the most recent from 26 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
82
Videos
1
Links
7
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
63 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 31.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
20
31.7%
👍
17
27.0%
❤
14
22.2%
💯
5
7.94%
🙏
5
7.94%
👏
1
1.59%
🕊
1
1.59%
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 7 of the 7 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 63reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 1 December 2025 to 26 June 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
1
across the posts below
Posts paid on
1
of 7 we hold a reading for · 14%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @smvoronin. 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 7 most recent posts we hold for this entry, published 1 December 2025 to 26 June 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.
🗻 Экосистема: Заповедный край 2026
Несколько дней работаю на форуме движения «Экосистема». Здесь собрались люди, которые сегодня во многом формируют экологическую повестку страны: учёные, сотрудники заповедников, общественники, представители органов власти и бизнеса. И, пожалуй, самое ценное на таких площадках — возможность честно поговорить о том, что действительно работает.
✅ На одной из секций представил доклад …
🇷🇺 На заседании комитета по экологии и природопользованию Законодательного Собрания Кировской области представил результаты работы Экоцентра за 2025 год.
Как мы не раз убедились на собственном опыте инфраструктура даёт кратно больший эффект, когда в процесс вовлечены жители. Контейнеры, площадки и логистика начинают работать в полную силу, когда люди понимают смысл этих действий и включаются в систему. Поэтому ключе…
🌲♻️ В новом году — с бережливыми технологиями!
На этой неделе в Экоцентре прошла рабочая встреча, посвящённая развитию бережливых подходов в лесопромышленном комплексе. Регион последовательно продолжает работу над проектом «Бережливый лес Вятки» выстраивая реальные «зелёные» управленческие и производственные процессы на фундаментальном уровне.
В этот раз встреча прошла с участием директора проектного офиса по прогр…
2️⃣0️⃣2️⃣6️⃣🎄Дорогие друзья, с наступающим Новым годом!
Подводя итоги года, принято говорить о цифрах и показателях. Но по-настоящему большие изменения редко видны сразу — они выстраиваются годами. Этот год стал периодом стабильной работы, когда ключевые процессы уже отлажены и закреплены на практике. Это надёжная основа, от которой в следующем году мы оттолкнёмся с новыми силами и продолжим продвигать принципы ESG …
На базе школы №23 состоялся масштабный слёт советников директоров по воспитанию. Более четырёхсот педагогов со всей области — это проводники изменений, которые ежедневно влияют на мировоззрение десятков тысяч школьников.
👍 Перед «Навигаторами детства» выступила мой заместитель Александра Шерсткова. Она рассказала, как школьные коллективы подключаются к экологическим акциям на примере «БумБатл», и вручила благодарнос…
♻️ Кировская область — бережливый регион: как Экоцентр участвует в формировании «зелёной» повестки
На этой неделе Экоцентр АО «Куприт» посетила Надежда Станиславовна Давыдова, доктор экономических наук, профессор, руководитель проекта АО «Производственная система» Госкорпорации «Росатом», куратор Кировской области. Команда Экоцентра провела экскурсию и подробно показала, как философия «Я разделяю» работает в связке …
🌍 Представили опыт Экоцентра по формированию культуры обращения с отходами на III Всероссийской Докучаевской конференции
26 ноября в Москве прошла конференция, посвящённая реабилитации экосистем Донбасса и Новороссии — восстановлению природных территорий, водных объектов, лесов и инфраструктуры обращения с отходами.
➡️ Более 300 специалистов со всей страны приехали обсудить практики, которые уже доказали свою эффек…
🔥5❤1👏1💯1
Showing the 7 most recent of 7 posts we hold for @smvoronin. 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.
Citation-graph rank
Citation-graph rank — 740,590 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Сергей Воронин” (@smvoronin), 57 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/smvoronin.
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.