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Channel

Научный Инжиниринговый Центр Андрея Чепиги

@nicach_official

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

209subscribers

-2 since we began measuring on 3 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001844306633
TypeChannel
Username@nicach_official
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 October 2026
Last confirmed live8 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/nicach_official

Growth

2092112103 October 2026 — 211 subscribers3 October 2026 — 211 subscribers8 October 2026 — 209 subscribers3 October 20268 October 2026
3 measurements spanning 5 days, net -2. 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 209–211 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Oct 2026, 02:37209-2
3 Oct 2026, 14:22211no change
3 Oct 2026, 13:47211first reading

Engagement

20 posts held, back to 11 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.6%
avg views ÷ 209 subscribers
Avg views / post
55.5
2 posts measured
Reaction rate
8.11%
reactions ÷ views · ER floor
Posts in window
2
of 20 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
WindowRolling 30 days · latest post in window 2 October 2026
Posts held20 (11 August 2025 – 2 October 2026)
Views total111
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 14:22 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

171 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 55.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9555.6%
👍3822.2%
❤3017.5%
🤣31.75%
🥰31.75%
👏21.17%

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 20 of the 20 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 171 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 August 2025 to 2 October 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.

Recent posts

2 Oct 2026, 07:02 UTC46 views3 reactionsread 3 October 2026

🎸 Наука с помощью Битлз — буквально Учёные посчитали, сколько раз названия и строчки песен The Beatles попали в заголовки научных статей. Результат: более 3 200 случаев в базе Scopus — точные цитаты и каламбуры во всех дисциплинах, от медицины до компьютерных наук. «The Long and Winding Road» лидирует с 798 упоминаниями — её используют, описывая тернистый путь научного поиска. «With a Little Help from My Friends» в…

🤣3

1 Oct 2026, 16:01 UTC65 views6 reactionsread 3 October 2026

Друзья, Хочу поделиться своей новой статьёй, которая вышла на Хабре — про выбор поставщика и многокритериальную оптимизацию закупок. Идея родилась из знакомой каждому закупщику ситуации: приходит несколько коммерческих предложений на одну позицию, и менеджер по привычке выбирает минимальную цену за штуку. А через пару недель склад завален избыточным товаром — потому что «самый дешёвый» поставщик работал только от к…

🔥4👍2

14 May 2026, 15:43 UTC220 views9 reactionsread 3 October 2026
Forwarded from @engee_comPhoto

Друзья, Сегодня хотим поделиться с вами отличной статьей, которая вышла на Хабре, про IPMSM — синхронные двигатели с внутренними постоянными магнитами, которые сегодня активно используются в электроприводах, промышленной автоматике и электротранспорте. Автор подробно разбирает: 🔸физику магнитной анизотропии, 🔸различия между SPMSM и IPMSM, 🔸dq-модели, 🔸управление FOC и MTPA, 🔸режим ослабления поля, 🔸и практическое м…

❤5🔥4

13 May 2026, 14:02 UTC196 views4 reactionsread 3 October 2026

Коллеги, представляем второй выпуск рубрики «proSPACE»! В этом материале продолжаем разбирать методики оценки шумовой добротности (G/T) наземных приёмных станций — и переходим к детальному рассмотрению первого метода: теоретическому расчёту эквивалентной шумовой температуры антенной системы. Разработанная программа на языке Julia в среде Engee вычисляет три ключевые составляющие шумовой температуры антенны: вклад атм…

👍2🔥2

6 Mar 2026, 15:25 UTC329 views7 reactionsread 3 October 2026

https://habr.com/ru/articles/1007036/

🔥5👍2

4 Feb 2026, 07:26 UTC434 views13 reactionsread 3 October 2026

Коллеги, представляем новую рубрику «proSPACE», посвящённую инженерным технологиям космических систем связи. В первом выпуске разбираем шумовую добротность (G/T) приёмных антенн — ключевой параметр, от которого напрямую зависит, сможете ли вы принять слабый сигнал со спутника или потеряете пакеты данных. Визуально деградация антенны незаметна, но качество связи падает — как это измерить объективно? Рассмотрим два мет…

🔥8❤3👍2

29 Jan 2026, 07:05 UTC363 views13 reactionsread 3 October 2026

Что намечается по 1D моделированию в ближайшее время? 🔭 📚 Школа системного моделирования (старт — 18 февраля) Многим инженерам знакомо это ощущение: модель вроде бы собрана, параметры настроены, расчёты сходятся — а понимания, почему система ведёт себя именно так, всё равно не хватает. Собственно, вокруг этого ощущения и построена эта Школа. Она про понимание того, как на самом деле проектируют сложные технические…

🔥9👍4

Showing the 12 most recent of 20 posts we hold for @nicach_official. 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.

Forward network

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.

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.

Иваново * Новости * Важное
@Ivanovo_vajnoe · 25,887
Telegram ranks this channel #59 of 68 here — alongside 67 others — read 3 October 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 8 October 2026 — this entry's latest reading, not the date you are reading this.

“Научный Инжиниринговый Центр Андрея Чепиги” (@nicach_official), 209 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/nicach_official.

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.