4 measurements spanning 8 days, net +50. 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 5,528–5,593 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 05:43
5,585
+31
11 Aug 2026, 15:24
5,554
+7
8 Aug 2026, 11:37
5,547
+12
7 Aug 2026, 12:47
5,535
first reading
Engagement
16 posts held, back to 19 July 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 7 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
64.8%
avg views ÷ 5,585 subscribers
Avg views / post
3,620
16 posts measured
Reaction rate
0.891%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 10 August 2026
Posts held
16 (19 July 2026 – 10 August 2026)
Views total
57,890
Reactions total
516
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:07 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
4m 08s
Average length
41s
Measured directly from 6 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
516 reactions across 16 posts, in 6 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
🔥
250
48.4%
❤
163
31.6%
👍
97
18.8%
👏
3
0.581%
🥰
2
0.388%
🙏
1
0.194%
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 16 of the 16 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 516reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 19 July 2026 to 10 August 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.
Наука в основе: от посаженного семечка до продукта на вашем столе 🌱
Продолжаем серию из 6 коротких вертикальных роликов «Наука в основе». Сегодня выходит уже третий ролик.
В новом видео рассказываем, что означает программа «От посаженного семечка до продукта на вашем столе» и как Herbalife контролирует путь продукта на каждом этапе.
В новом ролике:
🌿всё начинается с ингредиентов: компания выбирает надёжных поставщ…
Дни отдыха для спортсмена — это не пауза в работе, а часть результата 💪
Элитные спортсмены знают: прогресс зависит не только от тренировок и соревнований. Не менее важны привычки, которые помогают организму восстанавливаться, сохранять энергию и быть готовым к следующим нагрузкам.
И многие из этих принципов полезны не только профессионалам. Их можно адаптировать к обычной жизни, чтобы чувствовать себя лучше и подде…
Три истории. Три результата. Три новых видео с Экстраваганзы 🔥
За ярким выходом на сцену всегда стоит большой путь.
🔥Первое решение. Новые привычки. Ежедневные действия. Моменты, когда хотелось остановиться, и поддержка, которая помогла продолжить.
🥇Сегодня делимся тремя новыми роликами с участниками Экстраваганзы. Это не просто истории изменений. Это реальные примеры того, что результат начинается с небольшого ша…
Наука в основе: качество, которое закладывается на этапе идеи 🌿
Продолжаем серию из 6 коротких вертикальных роликов «Наука в основе». Это уже второй ролик о том, как Herbalife закладывает качество в продукт ещё на этапе его создания.
В новом видео:
🏢 показан Центр передового опыта в области качества и лабораторных исследований в Лос-Анджелесе, объём инвестиций: 8 миллионов долларов;
🔬 впервые в одном месте объедине…
ТОП-3 поста за июль!🌿
▪️Коллаген — это не просто «трендовая добавка», а один из ключевых белков нашего организма!
Разбираемся, зачем он нужен и какую роль играет.
🔗 Читать полностью по ссылке
▪️Почему после выпечки хочется спать?
Простое объяснение, которое поможет доступно рассказать клиенту о реакции организма на сладкое и мучное.
🔗 Читать полностью по ссылке
▪️Всё о новинке Найт Мод!
Состав, особенности и реком…
Наука в основе: серия роликов о качестве продуктов Herbalife🔥
Когда предлагаешь продукт клиенту, важно быть уверенным в его качестве и в том, что за ним стоит серьёзная наука и контроль. Herbalife подготовила серию из 6 коротких вертикальных роликов
«Наука в основе» — о том, как компания гарантирует качество продукции.
В первом ролике:
👉🏻всё, что указано на этикетке, научно подтверждено и реально входит в состав;
…
Рецепт недели: высокобелковый чечевичный багеты с Protein Bake Mix
Сытный вариант домашнего хлеба с чечевицей, специями и семечками 🔥
Способ приготовления:
▪️ Красную чечевицу заранее промыть и замочить в воде на несколько часов.
▪️ Переложить чечевицу в блендер.
▪️ Добавить Protein Bake Mix, специи, яйцо и оливковое масло.
▪️ Пробить всё до однородной массы.
▪️ Добавить псиллиум и хорошо перемешать.
▪️ Дать массе …
Больше контента для социальных сетей!🔥
Судя по вашим реакциям на публикацию с роликами о
Protein Bake Mix, такой контент востребован и помогает в общении с клиентами.
Поэтому делимся с вами ещё тремя короткими роликами — на этот раз о Найт Мод🌙
В подборке — отзывы потребителей, которые помогут рассказать о продукте легко и естественно, без прямых продаж. В основе роликов — знакомые жизненные ситуации и понятные сц…
❤38👍27🔥21
Showing the 12 most recent of 16 posts we hold for @ContentandTools. 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.
Citation-graph rank
Citation-graph rank — 263,921 of 1,481,306entries 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.
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 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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Контент и Инструменты” (@ContentandTools), 5,585 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/ContentandTools.
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.