Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 7 June 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @coderoll — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
10 measurements spanning 32 days, net -43. 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 4,104–4,159 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Sept 2026, 21:58
4,110
-5
2 Sept 2026, 23:28
4,115
-9
30 Aug 2026, 22:46
4,124
-8
27 Aug 2026, 16:02
4,132
-6
24 Aug 2026, 06:15
4,138
-1
20 Aug 2026, 19:39
4,139
-6
13 Aug 2026, 13:16
4,145
-3
10 Aug 2026, 09:26
4,148
-5
7 Aug 2026, 02:41
4,153
no change
6 Aug 2026, 17:16
4,153
first reading
Engagement
19 posts held, back to 7 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 5 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
19 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 89.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
89.5%
💅
2
10.5%
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 12 of the 19 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 7 June 2026 to 7 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.
❓ Что такое Destructuring Assignment?
Ответ:
Destructuring Assignment — это синтаксис JavaScript, который позволяет извлекать данные из массивов или объектов в переменные. Это упрощает работу с данными и делает код более читаемым.
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Coderoll | Frontend
⚡️Что такое инкапсуляция
Ответ:
Инкапсуляция - это механизм, который объединяет данные и методы, манипулирующие этими данными, и защищает и то и другое от внешнего вмешательства или неправильного использования. Когда методы и данные объединяются таким способом, создается объект.
Подробнее
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Coderoll | Frontend
💎 Socrate Store 💎
🤖 AI-сервисы по доступным ценам
В Socrate Store можно приобрести подписки и аккаунты популярных сервисов:
━━━━━━━━━━━━━━
🤖 ChatGPT 1 Месяц от 149 рублей!
🤖 Gemini AI Pro 18 Месяцев от 59 рублей!
🤖Grok Super 12 Месяцев от 999 рублей!
• И многие другие цифровые товары
━━━━━━━━━━━━━━
✔️ Автоматическая выдача доступных товаров
📦 Возможность оформить предзаказ
💳 Удобное пополнение баланса через к…
❓ Что такое Spread оператор (...)?
Ответ:
Spread оператор позволяет расширять или разворачивать итерируемые объекты (например, массивы или строки) в местах, где ожидается ноль или более аргументов (для функций) или элементов (для массивов).
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Coderoll | Frontend
👩💻 Используем принципы “Чистого кода” в контексте JavaScript
Функции
✏️ Используйте функции для удаления дубликатов кода
Одно из первых правил, которые мы изучаем в функциях - это соблюдение правила DRY (don't repeat yourself)
➕Если вы видите, что функционал повторяется - создайте для него отдельную функцию, которую вы будете вызывать в нужных местах
Coderoll | Frontend
❓ Что такое Symbol в JavaScript?
Ответ:
Symbol — это уникальный и неизменяемый тип данных, часто используемый как уникальный идентификатор для свойств объектов. Каждый вызов Symbol() создаёт новый уникальный символ.
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Coderoll | Frontend
❓ Что такое for...of?
Ответ:
for...of — это цикл, который итерируется по итерируемым объектам (массивы, строки, генераторы и т.д.), возвращая значения элементов.
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Coderoll | Frontend
❓Что такое props и state в React?
Ответ:
Props (свойства) — это данные, которые передаются в компонент родителем. Props являются неизменяемыми для компонента.
State (состояние) — это данные, которые управляются внутри компонента и могут изменяться. Изменение состояния
вызывает повторный рендер компонента.
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Coderoll | Frontend
Как работает хук useState?
Ответ:
useState — это хук, который позволяет добавлять состояние в функциональные компоненты. Он возвращает массив из двух элементов: текущего состояния и функции для его обновления.
const [count, setCount] = useState(0);
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Coderoll | Frontend
Как работает метод setState?
Ответ:
Метод setState используется для обновления состояния компонента в React. Когда состояние изменяется, React перерисовывает компонент и его дочерние элементы. Важно, что setState работает асинхронно, и обновления могут быть объединены.
this.setState({ counter: this.state.counter + 1 });
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Coderoll | Frontend
Что такое динамический импорт в React?
Ответ:
Динамический импорт позволяет загружать модули асинхронно. В React это используется для ленивой загрузки компонентов, что улучшает производительность приложения. Пример:
const LazyComponent = React.lazy(() => import('./LazyComponent'));
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Coderoll | Frontend
👩💻 Используем принципы “Чистого кода” в контексте JavaScript
Функции
✏ Создавайте отдельные объекты, а не модифицируйте их напрямую
⚠️ Так же это одно из правил иммутабельности, которое важно соблюдать при работе с продвинутыми инструментами
Если у вас есть необходимость изменить объект, то почти всегда надежнее будет создать его копию, и уже в ней проводить мутации
➕ Сейчас это можно делать за счет object spre…
Showing the 12 most recent of 19 posts we hold for @coderoll. 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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Вайб-кодинг @vibecoding_tg · 62,156 Telegram ranks this channel #65 of 85 here — alongside 84 others — read 1 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“CodeRoll | Frontend” (@coderoll), 4,110 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/coderoll.
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.