Channel
@notadaywoline
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
276subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002740935657 |
|---|---|
| Type | Channel |
| Username | @notadaywoline |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/notadaywoline |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 12:05 | 276 | +2 |
| 6 Aug 2026, 23:32 | 274 | no change |
| 6 Aug 2026, 14:33 | 274 | first reading |
14 posts held, back to 24 June 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 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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 14 (24 June 2026 – 4 August 2026) |
| Views total | 1,162 |
| Reactions total | 58 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 23:32 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.
81 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5220166546491459639 | 36 | 44.4% | |
| custom 5406674676686531530 | 19 | 23.5% | |
| custom 5253957476570660867 | 15 | 18.5% | |
| custom 5429649418825528707 | 9 | 11.1% | |
| custom 5442990407585647162 | 2 | 2.47% |
Custom emoji. Every row above is a 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 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 81reactions 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 June 2026 to 4 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.
Давно не писал вам тут. А жизнь бьет ключом, буду иногда стараться делиться интересными событиями. Сегодня с Артемом Паншиным выступили на форуме овощеводов про обнаружение патологий с помощью гиперспектральной сьемки. Занимательный факт, мучнистую росу можно обнаружить на 4 день с момента заражения томата.
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Данные об эстетическом восприятии фотографий Учёные из группы «Цветовая вычислительная фотография» Института AIRI, ИППИ РАН, МФТИ, их коллеги из Хорватии и Италии и профессиональный фотограф Майкл Фриман предложили бенчмарк REPID. Это первый набор данных, в котором собрано эстетическое восприятие зрителя обработки фотографий через сравнение рендеров. REPID построен на основе набора MIT-Adobe FiveK, который включает…
custom 52539574765706608673custom 52201665464914596392custom 54296494188255287072
Уважаемые коллеги, Я рад сообщить, что мы проводим сбор мультимодального набора данных для задачи оценки взгляда в ИППИ и объявляем набор пользователей! Мы попросим Вас следить за цветным стимулом на дисплее монитора (пример стимула показан на видео ниже). 📃 Требования: - очное участие - свободное время 40-60 минут - паспортные данные (оригинал не нужен, только данные для заполнения согласия на сбор персональных д…
custom 52201665464914596391custom 52539574765706608671custom 54296494188255287071
У нас тут на Большом Каретном проходит занимательное исследование по отслеживанию движения глаз. Смотрим насколько будет точно работать в условиях низкой освещенности. Если кто не знал, первый айтрекинг в мире сделал Альфред Ярбус, сотрудник ИППИ РАН. Кому интересно — пишите, буду очень рад :)
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Продолжаю серию занимательных постов про фитопатологии. Выяснилось, что есть ряд карантинных патологий распространение которых преследуется федеральным законом (в целях обеспечения продовольственной безопасности). Актуальный список содержит очень много перспективных кандидатов на ник-нейм в вашей любимой компьютерной игре. Мои фавориты: горный сосновый лубоед и головня.
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Давно не выкладывал постов от себя личных. Во многом из-за шквала личных и рабочих событий. Буду искать новый формат для организации этой работы, в пока поделюсь хорошей новостью. Мы учреждаем компанию, которая будет заниматься автоматизацией мониторинга сельских хозяйств. А я потихоньку превращаюсь в эксперта по защите растений :)
custom 52201665464914596398custom 54066746766865315308custom 52539574765706608673
Коллеги, добрый день! В честь проведения Летней школы кафедры ИППИ РАН мы приглашаем всех желающих на Читально-журнальный клуб. Цель — познакомиться с современными продвижениями в колориметрии и вычислительной фотографии. Формат мероприятия простой: в начале выделяется время для того, чтобы все участники ознакомились с текстом работы или некоторой его частью (в зависимости от работы), после чего основные положения, …
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Чудесного дня! 🌞 SVD и задача Прокруста: от линейной алгебры к оптимизатору Muon 💻 SVD — старая формула из учебника или все еще up-to-date? SVD является одним из фундаментальных инструментов линейной алгебры, численных методов и современных алгоритмов машинного обучения. На лекции рассмотрим существование сингулярного разложения, теорему Эккарта–Янга–Мирского о наилучших низкоранговых приближениях, классическую з…
Чудесного дня! 🤍 А теперь представляем лекции: Проактивная наука: почему, как и зачем? 📈 От гипотезы до производства: новый кодекс ученого Сегодня уже недостаточно просто сделать открытие и написать статью. Важно понимать, как твои исследования превращаются в реальные продукты, адаптируются под рынок и работают в мире, который ускоряется с каждым днём. На лекции обсудим: чем реально занимается ученый сегодня? По…
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Яркого дня!🎪 Все меньше дней до Летней Школы, все больше потрясающих курсов 🤩 Лингвистические универсалии и сложность языка 📖 Правда ли русский сложнее английского? Естественные языки часто сравнивают по «сложности», но что именно означает сложность языка — как её объективно измерить? Один из способов подойти к этому вопросу — исследовать лингвистические универсалии, то есть фундаментальные закономерности в тек…
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А вот и расписание лекционной части Летней Школы🔥
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Мама, я в телевизоре: https://rutube.ru/video/b16f75fcef31e5d1ee6f98db6e6f6010/
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Showing the 12 most recent of 14 posts we hold for @notadaywoline. 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 — 977,030 of 1,169,250entries 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.
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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Hue did this?” (@notadaywoline), 276 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/notadaywoline.
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.