4 measurements spanning 9 days, net -2. 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 232–234 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 16:58
232
-1
7 Aug 2026, 23:46
233
-1
7 Aug 2026, 04:00
234
no change
7 Aug 2026, 03:48
234
first reading
Engagement
18 posts held, back to 22 April 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
41.6%
avg views ÷ 232 subscribers
Avg views / post
96.4
5 posts measured
Reaction rate
2.70%
reactions ÷ views · ER floor
Posts in window
5
of 18 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 6 August 2026
Posts held
18 (22 April 2026 – 6 August 2026)
Views total
482
Reactions total
13
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 04:00 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.
Reaction mix
98 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 52.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
51
52.0%
💘
24
24.5%
custom 5366414976103773767
5
5.10%
💯
4
4.08%
custom 5310021969607942037
3
3.06%
🆒
3
3.06%
🤯
3
3.06%
custom 5265165687650797923
2
2.04%
😍
2
2.04%
💔
1
1.02%
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 areTelegram’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 17 of the 18 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 98reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 22 April 2026 to 6 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.
Как Грета повлияла на бизнес 📊
Грета Тунберг стала одним из главных символов климатического движения, ее акции и выступления привлекли внимание политиков, крупных компаний и молодежи🙌🏻
Под давлением общества бизнес начал активнее внедрять ESG принципы (т.е сокращать выбросы, инвестировать в экологичные технологии и публиковать отчеты об устойчивом развитии.)
Пожалуй одним из самых показательных кейсов будет BlackR…
🇬🇧🇩🇪🇪🇸🇫🇷🇮🇹
Lingua Insight -
онлайн школа с опорой на изучение иностранных языков
Мы ищем
1. Учителей иностранных языков (❗️уровни В1+):
• английского
• испанского
• немецкого
также вы можете предложить свой на выбор 🫶
2. Учеников, которые желают выучить или прокачать свой уровень языка
✍Записаться к нам можно:
Через администратора @cellirx
Вступив, в чат для учеников и заполнив анкету:
https://t.me/+bcw7XIu6E9U3Y…
Мы теперь в Instagram!
Друзья, у нас отличные новости! Мы наконец то завели официальную страничку в Instagram
Теперь следить за нами станет ещё интереснее.🍃
Переходите по ссылке и подписывайтесь, чтобы ничего не пропустить❤️:
Keizai
WE ARE HIRING!
Keizai — образовательный проект для школьников и студентов, интересующихся экономикой, финансами и предпринимательством.
Сейчас мы расширяем команду и ищем:
🎨 2 графических дизайнеров
Для оформления контента и развития наших социальных сетей
Что предстоит делать:
• создавать привлекательный дизайн для постов и материалов проекта.
🎉 1 Event Manager
Что предстоит делать:
• предлагать идеи для коллаб…
Как Pepsi случайно собрала 17 по величине армию в мире
В 1996 году Pepsi запустила на Филиппинах акцию Number Fever. Под крышками бутылок печатались трехзначные коды и суммы призов (от 1 000 до 1 000 000 песо). Каждый вечер по тв и радио объявляли выигрышный код. Акция стала невероятно популярной, продажи Pepsi выросли на 40%.📈
Но 29 мая произошла ошибка. Вместо двух бутылок с главным кодом 349 ( с выигрышем в 1.00…
📚 FLUENTUM (уже ETUDE) возвращается!
Мы открываем набор на 2-й поток
Etude (ex. Fluentum) — образовательный проект, объединяющий изучение иностранных языков и других академических направлений.
Сейчас мы расширяем команду и ищем активных и ответственных участников.
👩🏫 Кураторы
Подать заявку
Что предстоит делать:
• контролировать работу преподавателей;
• следить за вовлеченностью учеников;
• помогать в решении вопр…
Голландская болезнь — это экономический феномен, при котором быстрый рост доходов от экспорта природных ресурсов, например нефти или газа начинает вредить остальной экономике.🙂
Происходит следующее: страна начинает много зарабатывать,и ее национальная валюта укрепляется.Но почему тогда это плохо?🧐
🍃Наши товары становятся дороже для других стран, то есть экспорт падает.Если раньше страной было выгодно покупать у нас…
Вели́кая депре́ссия — мировой экономический кризис, начавшийся 24 октября 1929 года с биржевого краха в США и продолжавшийся до 1939 года.
Масштаб кризиса🍃:
🍃К 1933 году около 15 миллионов американцев остались без работы.
🍃В США объём промышленного производства сократился примерно на 47% между 1929-1933 годами.
🍃Экономика США потеряла около 30% ВВП за несколько лет.
🍃С 1930 по 1933 год в США закрылись более 9 000…
LEGO приносит больше прибыли чем золото и биткоин🌱🌱🌱
Давайте вместе посмотрим на цифры:
🌱В 2007 набор как на второй картинке стоил примерно $170, если бы вы приобрели его тогда, то сейчас могли бы продать за $3000.
🌱Экономисты изучили более 2000 таких наборов LEGO и выяснили , что за последние 30 лет они приносили в среднем по 11% годовых.
🌱Для сравнения:золото за этот же период росло примерно на 3-4% в год.
Сегодня…
В китае покупатели дают бизнесу кредиты 🍃🍃🍃
🍃Если на Западе популярная схема, купи сейчас — заплати потом, то в Китае все наоборот. Оплати сейчас — а воспользуйся позже.🤨
🍃Напимер, вместо одного похода в парикмахерскую вам предлагают оплатить сразу 10 стрижек. Или заранее пополнить карту на определенную сумму, а затем получить бонусы или скидки.👨💻
🍃Такая практика в Китае практически везде. Только за 2023 год там …
Бизнес-английский
слова, которые используют инвесторы и аналитики💰
📊 Valuation
/ˌvæljuˈeɪʃən/ — вэльюэйшн
Что это?
Оценка того, сколько стоит компания на данный момент.
Пример:
The startup reached a valuation of $500 million.
💸 Liquidity
/lɪˈkwɪdəti/ — ликвидити
Что это?
Насколько быстро актив можно превратить в деньги без большой потери стоимости.
Пример:
Investors prefer assets with high liquidity.
📈 Lever…
Коротко о главном: CTR, CPA и LTV на простых примерах⬇️
В маркетинге эти три метрики определяют, зарабатывает проект или сливает бюджет. Разбираем их суть и взаимосвязь без сложной теории.
1️⃣ CTR (Кликабельность)
Что это: Процент людей, которые кликнули на вашу рекламу после того, как её увидели.
Пример: Ваше объявление в телеграмме увидели 1 000 человек, но перешли по ссылке 30. Ваш CTR составлянт 3%.
Зачем следить…
💘3❤1
Showing the 12 most recent of 18 posts we hold for @kkeizai. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. 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 18 most recent posts we hold, published 22 April 2026 to 6 August 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.
Citation-graph rank
Citation-graph rank — 296,490 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.
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.
“keizai” (@kkeizai), 232 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kkeizai.
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.