3 measurements spanning 8 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 688–690 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 08:07
688
-2
8 Aug 2026, 02:20
690
no change
7 Aug 2026, 11:08
690
first reading
Engagement
20 posts held, back to 17 August 2024 — 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
9.30%
avg views ÷ 688 subscribers
Avg views / post
64.0
3 posts measured
Reaction rate
7.59%
reactions ÷ views · ER floor
Posts in window
3
of 20 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. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 July 2026
Posts held
20 (17 August 2024 – 27 July 2026)
Views total
192
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 02:20 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
1h 10m
Average length
1h 10m
Measured directly from 1 video 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
153 reactions across 17 posts, in 11 distinct kinds. The most used accounts for 39.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
60
39.2%
👍
47
30.7%
❤
18
11.8%
👏
9
5.88%
🥰
5
3.27%
🤯
4
2.61%
🤷♀
4
2.61%
💯
2
1.31%
🤔
2
1.31%
🎉
1
0.654%
😁
1
0.654%
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 20 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 153reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 August 2024 to 27 July 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.
Прогноз на август 2026
➖➖➖➖➖➖➖
Кому Вселенная приготовила ПОДАРОК 🎁 а кого жестко НАКАЖЕТ.
Аспекты, которые разберем в подкасте:
✔Какая главная энергия в августе 2026 года.
✔Какие 3 ловушки намертво перекроют вам денежный поток в ближайшие 30 дней.
✔Кому август принесет миллионы, а кого жестко обнулит через кассовые разрывы.
✔Индивидуальный расчет и расшифровка с рекомендациями
Ставь реакции если поймал инсайт…
🚀 «Пашу 24/7, а команда молчит»: почему у вас нет результата в сетевом бизнесе и стоит ли продолжать?
Этот пост для всех, кто сейчас пытается развивать сетевой бизнес (МЛМ).
Вижу в этой нише, тотальное движение. Переход из компанию в компанию, люди в растерянности. Слепо верят в успех.
Давайте честно.
🔴 Вы пришли в сетевой за свободой, пассивным доходом и большими чеками.
🔴Вы честно зовете людей на презентации, в…
1️⃣2️⃣3️⃣ Другие мои каналы, где много полезной информации ⤵️
✅ Нумерология 🔮 Метод Кармическая звезда
✅ 10к в день| Реалити
https://t.me/cash_flow_41736
✅ Фото фон для сторис
https://t.me/storisfoninsta
✅ Картинки для сторис
https://t.me/cetevikstoris
✅ Видео фоны для сторис https://t.me/videofonstoris
✅ Идеи / сценарии для рилс
https://t.me/PROreels_mlm
✅ Продажи через экспертность в млм https://t.me/marinak…
Это был волшебный год. Я благодарю за такую мощную трансформацию...мне это было необходимо.
😇😀😘🙂🥰😅 3️⃣7️⃣📣💃🍂
И в этот день, я благодарю жизнь, что она подарила мне возможность видеть мир, по другому♥️
🔴Оглядываясь назад я понимаю, что все события моей жизни- это как определённая цепочка , которые следуя друг за другом формировали и продолжают формировать мою жизнь.
🔴Каждый шаг, который в моменте казался не сли…
🎤5 инсайтов спустя 3 месяца в ниши нумерологии
01:40 - 1️⃣важно выбрать свой путь по жизни.
04:40 - 2️⃣ не нужно бояться начинать что то новое
07:00 - 3️⃣ шустрики съедают мямликов
13:40 - 4️⃣ любую информацию нужно сразу отдавать людям
18:45 5️⃣ благодарю 🙏 вас за то, что вы мне доверяете и поддерживаете
➖➖➖➖➖➖➖
Найти меня вы можете в этом канале
⤵️ https://t.me/numerolog_1310
Я уверена вы найдете, там мног…
Ребят спасибо ❤ что остаётесь на канале и подсматриваете за мной 🌹.
Найти меня вы можете в этом канале
⤵️ https://t.me/numerolog_1310
Я уверена вы найдете, там много ответов на вопросы которые у вас возникают в сфере предназначение реализации и денег
💕
❗️❗️❗️❗️ТОЛЬКО ОДИН ДЕНЬ!
2️⃣5️⃣🔀 😱😱😱😱😱😱 На мои авторские продукты для эффективной работы в сетевом
1️⃣ Мини-курс "Рекрутируй играючи в сетевом"
🔹✅ Забирайте топовый инструмент для рекрутинга
игровую автоворонка.
Которая приносит ежедневно 3-5 партнера в команду и дополнительный доход ➡️
🔴 Цена: 2250 руб вместо 3250руб
❤️ Протестировать воронку можно тут ❤️
https://vk.cc/crD2Lg
➖➖➖➖➖➖➖➖➖➖
2️⃣ Интенсив: Быстр…
Почему мне важно было принять это решение сейчас и поставить жирную точку ?
Моя личка 🙏- @marina_kovkova
👍6🔥4👏2🥰2
Signed Марина Ковкова
Showing the 12 most recent of 20 posts we hold for @marinakovkova_sw. 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.
Forward network
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.
Mentions
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.
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.
“Продажи через экспертность в МЛМ▪️Марина Ковкова” (@marinakovkova_sw), 688 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/marinakovkova_sw.
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.
