Channel
@ScrapsOfMadness
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
258subscribers
-1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002156343710 |
|---|---|
| Type | Channel |
| Username | @ScrapsOfMadness |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/ScrapsOfMadness |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 03:02 | 258 | -1 |
| 9 Aug 2026, 10:45 | 259 | first reading |
15 posts held, back to 24 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 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 6 August 2026 |
|---|---|
| Posts held | 15 (24 July 2026 – 6 August 2026) |
| Views total | 877 |
| Reactions total | 364 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 10:45 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.
364 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 31.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5190823072227155379 | 114 | 31.3% | |
| custom 5296299905579519422 | 90 | 24.7% | |
| custom 5296338873817791675 | 90 | 24.7% | |
| custom 5296508215788341991 | 54 | 14.8% | |
| custom 5190622754952469563 | 16 | 4.40% |
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 15 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 364reactions 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 24 July 2026 to 6 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ScrapsOfMadness. 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 24 July 2026 to 6 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.
Лэнгли, автор историй «Покоряя Версаль», «7 Братьев» и «Грехи, Просящие Возмездия» ответила на вопросы читателей. ❤️ ЧИТАТЬ ТУТ ❤️ Распространение только прямым репостом с канала. ‼️ Обработка от нашей Чайки #пв #7б #гпв #ответы #клубромантики #лэнгли
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😊😊 Чужой взгляд. Цветы, покрытые коркой льда. Шепот из зеркального отражения, обещающий вечную любовь и свободу от боли. Лира пришла к ведьмам за помощью, но то, что последовало за ее рассказом, оказалось куда опаснее, чем она могла представить. Один глоток крови на языке и чужая память распахивается, как бездонный колодец. То, что живет по ту сторону стекла, уже знает, чего хочет. И оно не намерено ждать. Но ведьм…
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Свет приглушен, бокалы отполированы до блеска, а шестерка барменов уже на своих местах, и каждый ждет именно вас, чтобы можно было сделать свой окончательный выбор перед тем, как двери закроются до следующей недели. Чей бокал поднимите сегодня? 💜 🤩🤩🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 #арт_ии #КР #клубромантики #СНР #СН3 #ЦИОТ #Микаэль #Давид #Ниалл #Кингу #Каин #Ян #Cyrillic
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💜💜💜💜💜💜💜💜💜💜💜 «Клятва Арлекина» — фирменный коктейль заведения. Выдержанный ржаной виски • Вермут, настоянный на инжире и кардамоне • Шоколадный биттер Подача: Стакан с одним большим кубом льда. Один бордовый лепесток, медленно тонущий в напитке. Вкус: Крепкий, согревающий, с нотами дыма, специй и легкой сладостью инжира. «Обещание камелии» — безалкогольный. Холодный чай с бергамотом • Цветочный сироп • Долька ли…
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💜💜💜💜💜💜💜 Этот бар существует вне времени. Готический собор, перевернутый с ног на голову: витражи с падшими ангелами отбрасывают багровые узоры на темный камень, сотни свечей в железных подсвечниках мерцают в полумраке, воздух пахнет ладаном, вином и чем-то неуловимо грешным. Бармен за стойкой, как проповедник у алтаря. Каин предлагает выбор между покаянием и искушением, между светом и тьмой. «Слеза Исповеди» подае…
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💜💜💜💜💜💜💜💜💜💜 В заведении тепло, пахнет росой после дождя, дымом костра и чем-то диким. Лианы обвивают колонны, факелы отбрасывают живые тени на стены из необработанного дерева, а где-то в глубине тихо трещит настоящий огонь. Кингу не спрашивает, что вы будете пить, но обязательно узнает как прошел ваш день. И только после этого его руки сами находят нужную бутылку, нужные ингредиенты и нужные бокалы или стаканы. «Д…
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💜💜💜💜💜 Концепция: Индивидуальный подбор коктейлей на основе визуальной диагностики состояния гостя. Процедура: 1. Гость занимает место за барной стойкой 2. Бармен проводит оценку по стандартным параметрам 3. Напиток готовится в течение 3-5 минут 4. Подача сопровождается кратким описанием состава Примеры коктейлей: Стеклянная слеза — для снятия перегрузки Состав: Джин, юзу, лемонграсс, кардамон, сахарный сироп …
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💜💜💜💜💜💜💜💜💜 Коктейль вечера: Dazzling Heist Текила премиум-класса • Ликер из маракуйи • Свежий чили • Сок лайма • Шампанское брют Подача: Бокал-купе с каймой из копченой соли и съедобного золота. Цедра грейпфрута поджигается над напитком, наполняя воздух сладковато-горьким цитрусовым ароматом с дымной нотой. Вкус: Взрывной. Сладкий старт, огненная середина, искристое послевкусие. 💜💜💜💜💜💜💜💜💜💜 Заведение сияет черным…
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💜💜💜💜💜💜💜💜💜💜💜💜 Об этом месте не пишут в путеводителях. Но тусклый фонарь в переулке, дверь без вывески и тишина за порогом станут вашим ориентиром. Здесь время течет иначе и здесь можно наконец-то выдохнуть. Бармен не предлагает меню. Один взгляд на то, как гость подходит к стойке, как отводит глаза, как молчит, и бармен уже знает, что именно нужно. Хрустальный стакан, ледяная сфера, джин с кедром и черным апельсино…
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💜💜💜💜💜💜💜💜💜💜💜 В каждом городе есть переулки, которых нет на карте. И глубоко внутри каждого из нас — образ места, куда хочется сбежать от суеты 🍷 Сегодня заглянем в бары, созданные совершенно разными характерами. От мрачных готических соборов и холодных академических лабораторий до диких джунглей, сияющих арт-деко залов и тихих убежищ. Случайным напиткам здесь нет места. Только интуиция, безупречный стиль и коктейл…
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🎉 Результаты розыгрыша: 🏆 Победители: 1. vampire🧛♀ (@june_lily00) 2. Мия (@Mia_Moli) 3. Карина (@VerkinaKA) 4. Женька (@Zhenka_aa) 5. Мария (@M04069) 6. dddd (@iamnotakitten) 7. ℨ𝔞𝔩𝔦𝔞 I𝔩'𝔤𝔞𝔪𝔬𝔳𝔫𝔞 (@zaliyailgamovna) 8. Даша (@da17sh) 9. Monika (@forzulya) 10. вик (@miiosin) ✔️Проверить результаты
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Showing the 12 most recent of 15 posts we hold for @ScrapsOfMadness. 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 — 622,599 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.
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 4 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Scraps Of Madness | Cyrillic” (@ScrapsOfMadness), 258 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ScrapsOfMadness.
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.