4 measurements spanning 7 days, net +1. 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 1,590–1,592 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 23:23
1,592
+2
10 Aug 2026, 03:51
1,590
-1
6 Aug 2026, 11:35
1,591
no change
6 Aug 2026, 09:50
1,591
first reading
Engagement
15 posts held, back to 19 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
49.9%
avg views ÷ 1,592 subscribers
Avg views / post
794
1 post measured
Reaction rate
5.92%
reactions ÷ views · ER floor
Posts in window
1
of 15 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 5 August 2026
Posts held
15 (19 December 2025 – 5 August 2026)
Views total
794
Reactions total
47
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:58 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
588 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 47.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
279
47.4%
😁
189
32.1%
🔥
57
9.69%
👍
38
6.46%
👎
10
1.70%
😱
5
0.85%
🤬
5
0.85%
🤔
4
0.68%
😢
1
0.17%
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 14 of the 15 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 588reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 19 December 2025 to 5 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.
Telegram Stars
Stars received
15
across the posts below
Posts paid on
4
of 15 we hold a reading for · 27%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kostyafinds. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 15 most recent posts we hold for this entry, published 19 December 2025 to 5 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Никак не могу принять то, насколько европейская культура оптимизирована под тех, кто всё планирует заранее.
Считаю это дискриминацией тех, кто любит спонтанность.
Хочешь попасть в классный ресторан, на концерт, в airbnb — изволь забронировать сильно заранее (часто за месяцы).
А что, если я хочу в классный ресторан тогда, когда я проголодался и оказался рядом, а не вот в какой-то строго определённый час в будущем?
Друзья, вы меня часто спрашиваете, как я отношусь к «ИИ слопу» — контенту, бездумно созданному с помощью ИИ. Вот мой текущий фреймворк для ответа на этот сложный, многогранный вопрос.
@buzko_hub
А почему нет отелей All Inclusive, где круглосуточно будет доступна только здоровая еда?
Не алкоголь, Кока-Кола и бесконечное множество десертов.
А, например, протеиновые смузи и овощи. Ну или что там сейчас считается полезным?
Такой, современный санаторий чтобы был.
Очень часто сейчас вижу грамматическую конструкцию, в которой используется знак ">" (модели любят такое тоже вставлять)
И я через раз не понимаю, как это читать и что это значит.
например, написано "A > B"
• это значит "A больше B"? то есть A важнее?
• или это типа стрелочка и значит "было A, стало B"? то есть B важнее?
Не Брайана Джонсона надо слушать по теме longevity, а Дэвида Аттенборо
(если вы пропустили, это Британский прототип Николая Дроздова, который тут на днях отпраздновал столетие, продолжает вовсю работать и выглядит суперски)
Хочется, чтобы таких примеров становилось все больше!
Рубрика «неожиданные открытия»
Обсуждал тут со своим OpenClaw как правильно чистить зубы (не спрашивайте), и узнал, что современная наука рекомендует не полоскать рот водой после чистки, а просто выплюнуть пасту. Чтобы на зубах остался фтор.
Вот вырабатываю теперь новую привычку — не полоскать.
https://pubmed.ncbi.nlm.nih.gov/9870540/
https://link.springer.com/article/10.1186/s12903-022-02086-5
Со всем этим голосовым вводом и Wisprflow стало непонятно, как работать в коворкинге.
У нас тут, например, тишина как в библиотеке. А я почти перестал на клавиатуре набирать и всё наговариваю.
И пока пытаюсь просто очень низко наклоняться к ноутбуку и тихонечко в него шептать. Вот не знаю, в какой момент меня за это выгонят.
Почему никто больше тут так не делает?
Прилетел в SF, и конечно же мы незамедлительно прокатились на Waymo (Слава, спасибо!)
Понятно, что этим сейчас уже никого не удивить, но меня кое-что удивило:
• очень прикольная графика экрана для пассажиров: машинка показывает, что видит, и о чём «думает» (вот это классная находка! думает о светофоре!)
• ну там понятно ты можешь свою музыку ставить, управлять климатом и т. д.
• понятно, что сначала немного волните…
Нередко так оказывается, что одно слово в русском языке обозначает понятия, для которых в английском много отдельных слов (так вот интересно развивались языки).
Например:
• труба = pipe, tube, chimney, trumpet, duct и т. д. — совершенно разные ведь трубы в целом
• болото = bog, swamp, marsh, wetland (не разбираемся мы в болотах)
и т. д. такого очень много.
Тем интереснее находить примеры, когда в английском слово …
Заметил, что намного лучше помню людей, которых встречал лично (вживую то есть, не в интернете). А если с человеком только созванивался, то вспомнить его намного сложнее. У вас тоже так?
👍20👎2😁1
Showing the 12 most recent of 15 posts we hold for @kostyafinds. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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. 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 15 most recent posts we hold, published 19 December 2025 to 5 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 — 307,605 of 1,478,351entries 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
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Kostya Gorsky's Finds” (@kostyafinds), 1,592 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kostyafinds.
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.