Channel
@sonneeco
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
165subscribers
+0 since we began measuring on 11 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002144452363 |
|---|---|
| Type | Channel |
| Username | @sonneeco |
| Description | Организую экособытия, ищу экологичные практики в заведениях, спасаю вещи с мусорок, создаю луки из секонда https://www.youtube.com/channel/UC0Bpk3GHJEN3cClggIhYPdA |
| First recorded | 12 November 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 2 |
| On Telegram | t.me/sonneeco |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 00:22 | 165 | no change |
| 11 Nov 2026, 23:47 | 165 | first reading |
7 posts held, back to 28 October 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 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. It is computed over the 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 7 (28 October 2026 – 11 November 2026) |
| Views total | 362 |
| Reactions total | 50 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 00:22 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.
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
50 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 48.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 24 | 48.0% | |
| 👍 | 13 | 26.0% | |
| 🔥 | 11 | 22.0% | |
| 🙏 | 2 | 4.00% |
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 6 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 50 reactions 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 28 October 2026 to 11 November 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’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Экотематика всё чаще попадает в разные пособия для детей (и это хорошо). И вот, на мой взгляд, хороший пример ненавязчивого внедрения. Мой ребенок занимается на платформе Учи.ру. В этом году я предложила ему поизучать программирование, чем он охотно и занялся (а я вместе с ним). И вот на одном из этапов нам попалась планета мусора, на которой нужно программировать сортировщиков, чтобы из разного вида отходов путём пе…
👍3❤2
Бывало у вас такое: на любимой рубашке не отстирывается пятнышко или на самых удобных джинсах появилась дырочка? Вещь бы носить ещё и носить, но мелкий дефект портит весь вид. А что если есть способ замаскировать дефект, починить вещь и добавить ей индивидуальности? И вы можете научиться этому!⬇️ Приглашаем на творческие экопосиделки с Анастасией Домниной. Анастасия – автор множества джинсовых шедевров, ведущая тек…
❤4🔥3
Устраиваю очередные экопосиделки с новой темой:
Помогите защитить деревья в Приморске 🙏🏼 📜 Суть кратко: Недавно в Приморске (городок между Светлым и Балтийском) начали строить участок велодорожки проекта "От косы до косы". И на улице Янтарной по проекту решено спилить 8 больших взрослых деревьев: одну липу и семь клёнов. Я считаю, что деревья стоит сохранить, и для этого немного изменить проект. 📽️ В видео рассказал подробности. 🗿🗿🗿 🌳 Почему мне ценны эти дере…
👍4🔥4🙏2❤1
🤍 Праздничные Экопосиделки Сегодня получилось научить: 🟠вязать спиральным узором – двух девушек (одна даже успела связать целый коврик-сидушку); 🟤резать футболку и вязать руками – ещё одну девушку (тут спасибо Маше, что успевала и свой коврик вязать и подсказывать, как резать, пока я отвлекалась); 🟡вязать крючком – ещё одну девушку. Параллельно другие девушки вязали, резали и мастерили своё. А ещё в перерывах межд…
❤9
🪹Праздничные Экопосиделки, снова самые душевные.
👍6🔥2
Год спустя вернулась в Планету Океан (Музей Мирового океана), чтобы обнаружить там новый огромный зал "Лаборатория жизни". Только фото/видео у меня оттуда почти нет, поэтому не свои фото покажу в комментариях. Для любителей интерактивных музеев крайне рекомендую. Есть микроскопы, интерактивные экраны, разные экспозиционные штуковину. Можно развенчать мифы про акул, позвонить бакланам или пингвинам по телефону, созда…
❤8🔥2
Showing the 7 most recent of 7 posts we hold for @sonneeco. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“Экологистка в Кёниге” (@sonneeco), 165 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/sonneeco.
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.