2 measurements taken within a single day. 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 371–373 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 12:51
372
no change
9 Aug 2026, 02:33
372
first reading
Engagement
13 posts held, back to 29 July 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
34.0%
avg views ÷ 372 subscribers
Avg views / post
127
13 posts measured
Reaction rate
36.7%
reactions ÷ views · ER floor
Posts in window
13
of 13 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
13 (29 July 2026 – 5 August 2026)
Views total
1,645
Reactions total
604
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 02:33 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
604 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 23.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
139
23.0%
🔥
108
17.9%
custom 5242191022821234096
98
16.2%
custom 5318911555478245561
79
13.1%
🤩
58
9.60%
🎉
36
5.96%
❤🔥
25
4.14%
🥰
19
3.15%
⚡
14
2.32%
💘
10
1.66%
🦄
9
1.49%
💔
6
0.993%
🏆
3
0.497%
Custom emoji. 2 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 13 of the 13 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 604reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 29 July 2026 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
1
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @uliangderoman. 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 13 most recent posts we hold for this entry, published 29 July 2026 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.
⭐«Феномен» Авы Хоуп, как история с классическим хеппи-эндом из 2000-х ♥️
Лу. Итан Мур – ворчун и брюзга. Он молчалив, угрюм и вечно чем-то недоволен. Это не касалось меня ровно до тех пор, пока от него не стало зависеть мое будущее. Теперь он – моя база, а я – его флаер, и впереди нас ждет чемпионат штата по чирлидингу. Ради победы мы должны зарыть топор войны. Вот только что, если мне так понравится наше противост…
😍А вот и наши победители, которых ждут отзывы (и еще что-то красивое 😏) в ближайшие два месяца:
“Крошки лета”, Татьяна Череданцева
“Стокгольмские каникулы, или Тайны стокгольмских ночей”, Аи Старк
А еще я решила опять пойти этим путем, взять еще одну работу 👀
Уж очень интересно, что же там ждет
Книге “Дело №6911:Смертник”, Ари Хейл подготовлю небольшой отзыв и соберу по ней эстетику ✨
Всем спасибо! ☺️ И до встреч…
❤️«Лучшие бывшие» Ланы Гетманцевой — история о принятии старых ошибок, взрослении и прощении 👇
Что случится, если в город вернётся бывший? С вероятностью 99% состоится ваша встреча, конечно же.
Мила:
Я не планировала видеть Бертова ещё минимум лет сто после того, что он сделал. Но жизнь подколола, бросив меня буквально ему под ноги. Повзрослевший и возмужавший, до безумия красивый и... лживый. Какие бы слова о любв…
🤩Август был прекрасен, мой самый любимый месяц. И сегодня я полюбила его с новой силой. Мама всё ещё благодарила Романа Олеговича и Роса, обливаясь слезами. Надо будет дома заварить ей ромашковый чай. Вредно столько плакать, даже от счастья🤩
🤩Самые долгожданные признания иногда могут ранить сильнее самых обидных слов.
Моя рана скорее всего никогда уже не затянется, но я была готова время от времени делать перевязки.…
Привет! 👋
Пришло время выбирать наших победителей ☺️
Взяла в список те работы, которые еще не читала и не освещала на канале
У нас есть шесть работ, ниже будут ссылки на комментарии каждой работы, чтобы ознакомиться с обложкой и аннотацией 👇
Выбирайте своих фаворитов (можно выбрать 2✌️) и голосуйте за них! Подведем итоги 3 августа 📆
“Крошки лета”, Татьяна Череданцева
“Тень, что помнит его имя”, Лина Элерт
“До сл…
📚Лу Вель
ОТПУСК ПО ДОМЕНУ
Камилла едет в Сеул исполнять свою мечту — стажировка в компании по производству видео-игр. Но для девушки это не просто поездка, это еще обмен домами с приятелем из Кореи, Мин-Джуном. Чтобы легче было делиться друг с другом впечатлениями, они обмениваться видео-дневниками.
Но так ли все будет, как представлялся себе девушка? Или Сеул приготовил для нее свои сюрпризы?
Впервые читаю книгу …
«Запретная алхимия» 🧴Стейси Макьюэн — это не просто история про магию в мире, похожем на Панем из «Голодных игр»🤩, это какая-то абсолютно невероятная помесь всего, что я так люблю. Тут и напряжение от сюжета и взаимодействия героев, как в 🤩«Четвертом крыле», и встреча через время, я знаю, есть любители, и порция народного восстания в декорациях «Острых козырьков»🔫, ну и, конечно, магия
Нина и Патрик встретились, ког…
«Мое время в Корее стремительно тает, а желание остаться и увидеть главный концерт в карьере ребят растет. Неужели я действительно пропущу дебют Мин-Джуна на сцене? Мои друзья хотя бы слышали его вживую, а я... Я даже не знакома с ним по-настоящему, что на самом деле немного меня расстраивает.
Наша трепетная дружба, зародившаяся из ночных разговоров в видеочате и обсуждение планов, дарит мне надежду на личную встреч…
❤14❤🔥9🥰6
Showing the 12 most recent of 13 posts we hold for @uliangderoman. 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 — 72,339 of 1,480,688entries 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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ульян, пиши уже роман 📚 | Лу Вель” (@uliangderoman), 372 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/uliangderoman.
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.
