3 measurements taken within a single day, net +14. 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 938–956 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:56
954
+14
12 Aug 2026, 02:00
940
no change
12 Aug 2026, 01:48
940
first reading
Engagement
14 posts held, back to 24 October 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
46.3%
avg views ÷ 954 subscribers
Avg views / post
442
5 posts measured
Reaction rate
11.5%
reactions ÷ views · ER floor
Posts in window
5
of 14 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 11 August 2026
Posts held
14 (24 October 2025 – 11 August 2026)
Views total
2,210
Reactions total
255
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:00 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
467 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 39.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
182
39.0%
👍
126
27.0%
🔥
99
21.2%
❤🔥
39
8.35%
💔
12
2.57%
👌
2
0.428%
😍
2
0.428%
🤩
2
0.428%
🏆
1
0.214%
💘
1
0.214%
🙏
1
0.214%
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 13 of the 14 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 467reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 24 October 2025 to 11 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
48
across the posts below
Posts paid on
3
of 13 we hold a reading for · 23%
Most on one post
37
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @caprilenin. 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 14 most recent posts we hold for this entry, published 24 October 2025 to 11 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.
Кстати, вот та самая Nokia в подкасте выше из Казахстана 🇰🇿 под казахстанский номер. Можно было через спец платформу зарегистрировать свой смартфон, но я пошел ва банк 😆
Зато мне подарили казахстанские бюрократы очень приятное ощущение ностальгии 😊
💙 Друзья, спасибо вам большое за актив! Не ожидал, что будет так много реакций. Благодаря им мы в кратчайшие сроки выпустили подкаст 🎙️⬇️и будем надеяться, что он вам очень сильно пригодится и поможет сориентироваться в этом изменчивом финансовом мире.
✨ Поэтому мы будем очень рады вашей дальнейшей поддержке. Подписывайтесь, пожалуйста, на Local in Padova 🇮🇹 Аня пишет про жизнь в Италии, про стипендию 🎓 и, конечно ж…
Это уже традиция
50 реакций, и мы с Аней, канал local in Padova, выкладываем новый подкаст про то, как сейчас переводить рубли в евро быстро и без огромных комиссий; какие карты открывать и какими финтехами пользоваться! Ведь все так стремительно меняется: не по дням, а по часам!
Тихо и мирно
Что-то я пропустил новое обновление Coca до версии 3.5, хотя в нем добавили несколько действительно интересных функций, которыми можно пользоваться практически каждый день.
Первое и, на мой взгляд, ключевое нововведение — это возможность отправлять переводы по номеру банковской карты прямо с баланса Coca для резидентов Италии и других стран ЕС. Честно говоря, эту функцию я буквально вымолил у фаундеров…
Быстрее пули
Хорошо, с переводами крупных сумм разобрались, а что же делать с более мелкими доходами для повседневных расходов? С этим уже поможет другая страна СНГ. Год назад Universal Bank из Узбекистана создал свой сервис для перевода рублей с российских банков в доллары — Unired. Он выступает альтернативой таким системам денежных переводов, как Золотая Корона и Юнистрим. Только Unired переводит на любую карту Vi…
Сильный доллар - живой евро 💲💶
Догадки подтвердились: казахстанский банк БЦК временно приостановил SWIFT-переводы в евро в ЕС. При этом, судя по сообщениям поддержки, они хотят вернуть их для обладателей ВНЖ ЕС, но пока прием новых данных о европейском резидентстве банком не налажен, хотя не исключено, что в будущем все наладится.
Пока можно пользоваться тем же самым SWIFT, но в другой валюте — долларе. Это не запр…
Диалектика Swift
Долго не решался написать пост про поездку в Казахстан, потому что главный банк, который переводит рубли в евро, и отправляет swift в евро в Европу- Банк Центр Кредит- столкнулся с трудностями технического и даже политического характера в проведении этих самых переводов. Сначала банку мешал переход на новый стандарт swift, а в последнюю неделю якобы политика банков-корреспондентов. Люди( в особеннос…
И вот в сумме складывается интересная история. Казахстан сейчас — это не просто «ещё одна страна СНГ, где можно открыть карту без переводов». Это фактически готовая финансовая инфраструктура для человека, который находится между РФ и Европой.
Есть у данной затеи и обратная сторона медали. Первый год e-residency стоит 120 долларов. Со вторым годом пока мутнее: в официальных документах фигурирует сумма до 999 долларов…
Не выходи из комнаты- не совершай(?) ошибку
Перечитав двадцатый пакет блокирующих санкций ЕС, я заметил одну интересную деталь: возможно, впервые ЕС что-то не ограничил, а даже аккуратно отступил.
Таджикистан каким-то хитрым дипломатическим путём смог вытащить из-под удара банк Dushanbe City, а IBT Bank, про который ходили слухи, в итоге так и не добавили. И для меня это довольно важный знак: ЕС, похоже, уже понима…
Понедельник — день веселый!
Начинаем неделю с хороших новостей: Coca наконец-то превращается в полноценный криптофинтех.
Сегодня сервис выкатил обновление 3.0, и главное нововведение — это именной мальтийский IBAN. Теперь через него можно принимать евро с любых банков и финтехов Евросоюза буквально за считанные секунды, если отправка идет через sepa instant .
Дальше — самое интересное. Полученные евро автоматическ…
❤22👍9💘1
Showing the 12 most recent of 14 posts we hold for @caprilenin. 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.
Citation-graph rank
Citation-graph rank — 163,268 of 1,176,251entries 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.
Mentions
Named by 2 registered channels — 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“dolce vita в деньгах 🇮🇹💸” (@caprilenin), 954 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/caprilenin.
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.