4 measurements spanning 7 days, net +5. 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 4,691–4,699 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 15:22
4,697
-1
11 Aug 2026, 21:52
4,698
+6
9 Aug 2026, 03:54
4,692
no change
8 Aug 2026, 05:35
4,692
first reading
Engagement
12 posts held, back to 9 May 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.90%
avg views ÷ 4,697 subscribers
Avg views / post
465
3 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
3
of 12 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
12 (9 May 2026 – 10 August 2026)
Views total
1,395
Reactions total
32
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 05:28 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
5m 06s
Average length
5m 06s
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
108 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 64.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
70
64.8%
🔥
29
26.9%
👍
9
8.33%
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 11 of the 12 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 108reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 9 May 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.
«Почему сыр камамбер течёт?» — вопрос подписчика.
Отвечаю. Текучесть камамбера решается кислотностью после дренажа, а закладывают её тремя шагами.
1. Длительное заквашивание. За счёт буферной способности молока pH удаётся просадить ниже, чем без него. При pH 4,8 сыр не будет такой текучий.
2. Максимально лёгкая постановка зерна после разрезки сгустка: зерно должно немного округлиться, высушивать его при вымешивании…
Куда я пропал?
Специально записал для вас видео, в котором честно рассказал, что произошло, почему исчез, почему сейчас нет аудиоразборов, ответов и в канале такая тишина.
Посмотрите видео — после него всё станет понятно.
Конечно, в моей ситуации вряд ли кто-то сможет помочь, но пока этот вопрос не разрешится, проводить аудиоразборы и отвечать на вопросы, к сожалению, не смогу.
Что касается оборудования: Casaro к…
❓ Почему при одной и той же технологии сыр каждый раз получается немного разным?
Закваска та же.
Фермент тот же.
Температуры те же.
А результат разный.
Одна из причин — нормализация молока. Точнее, правильное соотношение белка и жира под конкретный сыр.
Многие смотрят только на жирность молока и упускают один из самых важных инструментов управления будущим продуктом.
А ведь именно от этого могут зависеть:
🧀 Тек…
С Днём сыродела! 🧀💛
Это праздник тех, кто знает, что такое настоящая выдержка — и в сыре, и в жизни. Тех, кто умеет ждать,наблюдать и чувствовать продукт.
Пусть каждый этап ремесла — будет в радость, а результат всегда превосходит ожидания! Пусть каждый день радует новыми вкусами и успехами! Пусть впереди будет много вкусных побед и поводов гордиться своим трудом!
🥛 Есть своё молоко, но до собственной переработки всё никак не доходят руки?
Многие фермеры и владельцы ЛПХ годами думают о том, чтобы начать производить сыр, йогурт или другую молочную продукцию. Но постоянно что-то мешает: оборудование не по карману, запуск откладывается, а молоко продолжает уходить по ценам скупщиков.
В честь Дня фермера мы решили поддержать тех, кто давно планирует сделать следующий шаг.
🔥 Сни…
Насос мембранный DS-220 на тележке!
На данном насосе Вы можете перекачивать практически любые жидкости: молоко, сыворотку, кислотные и щелочные моющие средства и т.д.!
▶️ Насос химостойкий самовсасывающий.
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Узнать подробнее у наших менеджеров ↓
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- Механизм наклона чаши (для удобной мойки и слива сырного зерна)
- Две мешалки в комплекте
Больше информации — на нашем сайте ↓
topcheese.ru
Дорогие коллеги, поздравляем вас с Великим праздником, с Днем Победы! 🕊️🇷🇺
❤17🔥3
Showing the 12 most recent of 12 posts we hold for @TopCheese13. 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 — 67,650 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.
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.
“TopCheese | Экосистема сыродела — Денис Ильченко” (@TopCheese13), 4,697 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/TopCheese13.
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.
