Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
33 measurements spanning 44 days, net +357. 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 17,058–18,117 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 17:41
17,633
-18
17 Sept 2026, 07:00
17,651
-14
15 Sept 2026, 05:57
17,665
-24
13 Sept 2026, 11:16
17,689
-38
11 Sept 2026, 12:56
17,727
-38
8 Sept 2026, 22:15
17,765
-19
5 Sept 2026, 13:22
17,784
-19
3 Sept 2026, 13:57
17,803
-34
2 Sept 2026, 07:24
17,837
-26
1 Sept 2026, 05:46
17,863
-122
31 Aug 2026, 04:04
17,985
-10
30 Aug 2026, 01:26
17,995
+96
28 Aug 2026, 23:54
17,899
+69
28 Aug 2026, 01:04
17,830
+40
27 Aug 2026, 03:55
17,790
+84
26 Aug 2026, 02:44
17,706
+84
25 Aug 2026, 03:46
17,622
+223
24 Aug 2026, 00:05
17,399
+219
22 Aug 2026, 07:35
17,180
-7
20 Aug 2026, 22:23
17,187
first reading
Engagement
109 posts held, back to 4 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.20%
avg views ÷ 17,633 subscribers
Avg views / post
1,090
37 posts measured
Reaction rate
4.56%
reactions ÷ views · ER floor
Posts in window
37
of 109 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 3 September 2026
Posts held
109 (4 August 2026 – 3 September 2026)
Views total
40,430
Reactions total
1,843
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:15 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
2m 18s
Average length
1m 09s
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
4,431 reactions across 106 posts, in 17 distinct kinds. The most used accounts for 48.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,143
48.4%
🔥
1,284
29.0%
🥰
351
7.92%
👍
327
7.38%
🎉
75
1.69%
👏
68
1.53%
💯
48
1.08%
❤🔥
42
0.948%
😍
24
0.542%
🤔
19
0.429%
😁
17
0.384%
🙏
15
0.339%
💋
8
0.181%
👌
3
0.068%
🤡
3
0.068%
⚡
2
0.045%
🥴
2
0.045%
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 106 of the 109 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 4,431 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 4 August 2026 to 3 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.
Advertising
Ad load
14.7%
16 of 109 posts carry an ad marker
Regulatory tokens
16
posts carrying an erid · 10 distinct tokens
Median views · ads
1,060
over 16 measured posts
Median views · rest
1,000
over 90 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzquymFmM
2
17 August 2026
17 August 2026
2Vtzqvdie9R
2
11 August 2026
11 August 2026
2VtzqvmjwJ3
2
27 August 2026
27 August 2026
2Vtzqw6r2gs
2
26 August 2026
26 August 2026
2VtzqwUhwWB
2
13 August 2026
13 August 2026
2VtzqxjVpq9
2
31 August 2026
31 August 2026
2VtzqwJqedy
1
25 August 2026
25 August 2026
2VtzqwKskUB
1
20 August 2026
20 August 2026
2VtzqwVKwXq
1
24 August 2026
24 August 2026
2VtzqwgYXxo
1
19 August 2026
19 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 109 most recent posts we hold, published 4 August 2026 to 3 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
БАЗОВЫЕ НУТРИЕНТЫ ДЛЯ ДЕТЕЙ 🧸
❗Детский организм активно растёт и развивается, поэтому потребность в витаминах и нутриентах особенно важна.
‼️Это вещества, которые поступают в организм в первую очередь с питанием и участвуют во множестве процессов: от нормальной работы иммунной системы до роста, развития нервной системы и поддержания энергии.
На что родителям стоит обратить внимание?👇
Витамин D:
— Важен для здоро…
НАЧИНАЕМ ШКОЛЬНЫЙ СЕЗОН: ПОГОВОРИМ О ЗДОРОВЬЕ ДЕТЕЙ 💛
Ранее мы уже делились с вами информацией о нутриентах и дозировках для взрослых. И мы видим, что эта тема вызывает у вас большой интерес — спасибо за ваши реакции, вопросы и внимание! 🙌
Поэтому сегодня хотим начать важный разговор о ДЕТСКОМ ЗДОРОВЬЕ! 👦
Школьный сезон — это новый ритм жизни, активные нагрузки, общение с большим количеством людей, стресс для орга…
ПОЛЕЗНЫЕ ПЕРЕКУСЫ — ЧАСТЬ 2 🌿
Продолжаем знакомить вас с нашими партнёрами и собрали ещё несколько брендов с натуральными продуктами, которые стоит добавить в свою корзину.
СТОЛБУШИНО
Бренд натуральных продуктов и лакомств на основе мёда, трав и пряностей. В ассортименте — мёд, медовые десерты, сбитни, авторские напитки, соусы и полезные лакомства. Обратите внимание на фирменный сбитень — его можно добавлять в чай…
ПОЛЕЗНЫЕ ПЕРЕКУСЫ — ЧАСТЬ 1 🌿
Продолжаем знакомить вас с нашими партнёрами и собрали продукты, которые отлично впишутся в рацион тех, кто выбирает натуральные продукты и полезные альтернативы привычным перекусам.
GANAGA
Бренд специализируется на натуральных продуктах из сибирского кедра — без сахара и лишних добавок. Сухое кедровое молоко — необычный и удобный формат: достаточно развести сухую смесь водой, чтобы п…
Знаете, в чем главный секрет по-настоящему хороших сладостей и перекусов? 🧐
Не в яркой упаковке и не в громкой рекламе. А в ЧИСТОМ СОСТАВЕ!
Мы выбрали для вас тех производителей, в составе которых НЕТ места критичным компонентам!
ЧТО ВНУТРИ ВМЕСТО ЭТОГО?
Только качественные компоненты, которые дарят не только пользу, но и настоящее наслаждение вкусом! Да, такое тоже бывает 😋
И да, мы знаем, что качество редко ст…
ЧТО НЕ БЕРЁМ В ШКОЛЬНЫЙ ПЕРЕКУС? 🎒
Начался учебный сезон, и многие родители сейчас ищут полезные перекусы для детей.
Поэтому напоминаем нашу шпаргалку. Какие компоненты мы никогда не рекомендуем:
❌ БЕЛЫЙ САХАР
Вызывает привыкание, а его избыток связан с ожирением, инсулинорезистентностью, диабетом, кариесом и другими проблемами со здоровьем.
❌ СОЕВЫЙ ЛЕЦИТИН
Эмульгатор, который часто получают из дешёвой сои. В на…
📚 ДОРОГИЕ, С 1 СЕНТЯБРЯ!
Сегодня все снова идут учиться.
А мы напоминаем: учиться — никогда не поздно! 🌿
Уже 11 лет мы изучаем экологические тренды, разбираемся в натуральной косметике, проверяем заявления брендов и выводим их на чистую воду!
И если за эти годы мы чему-то и научились, так это одному:
«эко», «натуральный», «чистый», «зелёный» — ещё не значит экологичный! 🙅
Поэтому желаем в новом учебном году:
🔎 з…
Делюсь своим честным отзывом 👇
Мы все хотим, чтобы бытовая химия была не только экологичной, но и действительно работала, правда?
Именно поэтому в наши боксы и во все рекомендации в блоге я собираю средства, которые сама изучаю, тестирую и могу смело рекомендовать 🤍
На фото — наглядный пример:
👉 Первый бокал был помыт другим средством для посудомоечной машины.
👉А второй — таблеткой для ПММ от бренда Miko.
И, че…
ЧТО ЕЩЁ КУПИТЬ PURE WATER?
А вы знали, что у производителя есть не только таблетки для посудомойки? 👀
Если вам близка идея экологичной бытовой химии, то здесь можно собрать практически целую систему ухода за домом.
У PURE WATER есть средства для:
🧺 стирки — натуральный стиральный порошок, в том числе в фасовках 300 г и 1 кг; в составе нет искусственных отбеливателей, красителей и синтетических ароматизаторов.
🧹…
ТАБЛЕТКИ ДЛЯ ПММ ОТ ~700Р
Ставьте ❤️ и встречайте новинку, которую вы так долго просили 👇
Таблетки для посудомоечной машины PURE WATER (МиКо) 💧
Что умеют таблетки:
✅ эффективно удаляют жир и стойкие загрязнения, в том числе при низкой температуре;
✅ помогают избавиться от следов кофе и чая;
✅ защищают от разводов, следов капель и известкового налёта;
✅ нейтрализуют неприятные запахи, не оставляя резкого аромат…
Вы давно просили нас найти хорошие таблетки для ПММ 👇
Мы знаем, что многие из вас давно ждут именно такой находки. И не просто таблеток, а тех, которыми действительно хочется пользоваться каждый день.
Потому что с обычными таблетками для ПММ часто возникает целый список вопросов:
❌ после мойки на посуде остаются разводы и белёсый налёт;
❌ стеклянные бокалы теряют блеск;
❌ на посуде может оставаться запах моющего…
🎉 Поздравляем победителей нашего конкурса! 🏆
И у нас есть ещё одна приятная новость:
Мы дарим подарок всем участникам конкурса — промокод на скидку 250 ₽ при заказе боксов нашем сайте 🎁
Промокод: IGW2608
Скидка: 250 приветственных баллов при заказе от 3 500 ₽ (старички тоже могут воспользоваться 😉)
Действует: до 06.09
Заказать можно на сайте: http://www.green-store.su/
Спасибо, что участвуете вместе с нами!
❤40😁8🤡3🥴2
Showing the 12 most recent of 109 posts we hold for @info_greenwashing. 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.
Posts edited after publishing
@info_greenwashing edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
26 August 2026
Most recent edit
3 September 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 113%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Скоро расскажем интересный факт, о котором знают далеко не все! 😉
❤️ Да, могу съесть целую пачку20%
😋 Иногда покупаю53%
🙅♀️ Нет, не люблю20%
🤔 Даже не пробовал(а)7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 109 most recent posts we hold, published 4 August 2026 to 3 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Info_Green_Washing” (@info_greenwashing), 17,633 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/info_greenwashing.
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.