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Channel

Максим Невенчанный Ⓜ️

@nevenchannyy

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cross-platform identity · Cite this entry

674subscribers

+14 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001405599336
TypeChannel
Username@nevenchannyy
Created4 September 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/nevenchannyy

Growth

659674666.57 August 2026 — 660 subscribers7 August 2026 — 660 subscribers7 August 2026 — 659 subscribers15 August 2026 — 674 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +14. 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 657–676 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 20:06674+15
7 Aug 2026, 21:01659-1
7 Aug 2026, 09:48660no change
7 Aug 2026, 09:28660first reading

Engagement

20 posts held, back to 2 July 2026the 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
271.5%
avg views ÷ 674 subscribers
Avg views / post
1,830
9 posts measured
Reaction rate
0.741%
reactions ÷ views · ER floor
Posts in window
10
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 6 August 2026
Posts held20 (2 July 20266 August 2026)
Views total16,471
Reactions total122
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 09:48 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

287 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 30.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8630.0%
🔥5820.2%
💯5519.2%
🤔3211.1%
175.92%
😱124.18%
🫡113.83%
👏82.79%
🤮41.39%
👎20.697%
🤡20.697%

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 19 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 287reactions 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 2 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nevenchannyy. 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 20 most recent posts we hold for this entry, published 2 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.

Recent posts

6 Aug 2026, 15:53 UTC66 views10 reactionsread 7 August 2026

Можно ли оправдать преступление интересами государства? С писателем и журналистом Игнатом Шипицей обсуждаем книгу «Патриот. Главное преступление XX века» и разбираем одну из самых мрачных страниц истории ЦРУ — программу MKUltra. В выпуске — эксперименты с наркотиками и гипнозом, попытки создать управляемого человека, Сидни Готлиб, операция «Скрепка», нацистские специалисты, японский отряд 731, секретные тюрьмы ЦРУ,

🤔4🔥3👏2💯1

31 Jul 2026, 16:51 UTC258 views17 reactionsread 7 August 2026

Что на самом деле стоит за перестановками в Киеве — борьба за власть или контроль над западными деньгами? Олег Царёв разбирает украинскую политику как конфликт вокруг финансовых потоков, военных контрактов и внешнего управления. В выпуске — Зеленский, Ермак, Арахамия, Фёдоров, Умеров, НАБУ, европейские кредиты, «коалиция желающих», Palantir, Пентагон, ЦРУ, возможное отстранение Зеленского, Залужный, *Буданов, визит

🤔5👍43💯2🔥2🫡1

28 Jul 2026, 15:07 UTC300 views15 reactionsread 7 August 2026
Photo

Что будет важнее в новом мире — деньги или реальные ресурсы? С философом и футурологом Владимиром Видеманном разбираем пределы роста, кризис привычной капиталистической модели и шанс России в эпоху, где борьба идёт за энергию, технологии и физическую базу развития. В выпуске — Мальтус, Римский клуб, «золотой миллиард», Palantir, ИИ, дата-центры, старые и новые деньги, технат, антирост и китайский «танпин». Главный

👍5🤔4🔥3👎1💯1😱1

26 Jul 2026, 16:25 UTCviews —

Максим Невенчанный Ⓜ️ pinned «Как работает технология подрыва авторитета власти "ИНФОМРАК" и почему в информационной войне опасны не только вражеские вбросы? С Игорем Шишкиным обсуждаем мою книгу «ИНФОМРАК» и разбирают систему, в которой власть и общество могут невольно подыгрывать чужому…»

26 Jul 2026, 14:54 UTC≈6,640 views16 reactionsread 7 August 2026

Возможны ли переговоры между Москвой и Киевом — и кто способен стать посредником после острой фазы конфликта? Историк и политолог Константин Бондаренко и политический философ Александр Казаков обсуждают интересы США, Европы, Турции и Китая, стамбульские договорённости, роль Бориса Джонсона, «дух Анкориджа» и спор о выводе войск из ДНР. В выпуске — позиция Зеленского, попытки Трампа, европейский военно-политический

👍8💯4🔥2🤔1🫡1

24 Jul 2026, 15:05 UTC229 views14 reactionsread 7 August 2026

Может ли история развиваться не по прямой, а по циклам — и почему эпоха бесконечного роста подходит к пределу? Григорий Клящицкий обосновывает мир как циклическую модель. Эти циклы развития общества: реформаторские, лидерские, классовые, военные, экономические, политические и цивилизационные циклы. В выпуске — Иван Грозный, Пётр I, Сталин, Золотая Орда, Наполеон, Британская империя, продажа Аляски, глобализация, ро

👍6🔥4👏2💯1🤔1

23 Jul 2026, 11:53 UTC229 views15 reactionsread 7 August 2026

Как работает технология подрыва авторитета власти "ИНФОМРАК" и почему в информационной войне опасны не только вражеские вбросы? С Игорем Шишкиным обсуждаем мою книгу «ИНФОМРАК» и разбирают систему, в которой власть и общество могут невольно подыгрывать чужому сценарию. В выпуске — мутация сознания, потеря доверия, поиск альтернативных авторитетов, Украина 2022 года, Майдан, февраль 1917-го, распад СССР, «чернуха»

💯6🔥42👍1🤔1🫡1

22 Jul 2026, 17:01 UTC≈8,010 views14 reactionsread 7 August 2026

Зачем сняли Сырского? Что стоит за кадровыми перестановками на Украине и пытается ли Зеленский окончательно замкнуть власть на себе? Снежана Егорова объясняет конфликт вокруг Минобороны Украины и увольнение главкома ВСУ. А также "картонные Майданы", НАБУ и САП, роль Ермака и превращение украинской политики в управляемый технологический проект. В выпуске — дроновая война, цифровизация, контроль над обществом, украин

👍5🤔4💯3🔥1😱1

19 Jul 2026, 13:06 UTC411 views10 reactionsread 7 August 2026

Политолог-американист Малек Дудаков представляет детальный анализ системного кризиса институтов власти в США. Почему спорадические удары Дональда Трампа по иранскому побережью и новые транши Израилю загнули республиканцев в ловушку, из которой нет выхода за три месяца до судьбоносных выборов в Конгресс? *Линдси Грэм - внесён в перечень террористов и экстремистов Росфинмониторинга Ютуб 👇 👇 👇 https://youtu.be/9Hu4ck

👍4💯2🤔2🔥1😱1

17 Jul 2026, 16:54 UTC328 views11 reactionsread 7 August 2026

Почему Китай одновременно кажется России близким партнёром и совершенно другой цивилизацией? Вместе с китаистом Константином Батановым разбираем китайский менталитет, прагматизм Пекина, страх хаоса, торговлю с Россией, гуаньси, «лицо», иерархию, семью, цензуру и мифы о социальном рейтинге. В выпуске — дроны, блогосфера, брачные деньги, скромность богатых китайцев, инь-ян, Небо, Сунь-цзы, 36 стратагем, мандат Неба и

🔥5👍2💯2👏1🤔1

15 Jul 2026, 16:06 UTC≈8,100 views15 reactionsread 7 August 2026

Что остаётся за кадром украинского конфликта и почему о ключевых вопросах почти не говорят вслух? Снежана Егорова объясняет истинные мотивы Зеленского, цели западных элит, роль США и Британии, удары по НПЗ, желание Залужного участвовать в выборах и кадровые перестановки в Киеве. Но самое главное — версии вокруг смерти Линдси Грэма, бунты против ТЦК и судьба украинцев и русских по обе стороны фронта. Ютуб 👇 👇 👇 ht

👍112💯1😱1

9 Jul 2026, 17:04 UTC≈32,000 views21 reactions1 Starread 7 August 2026

Почему конфликт Польши и Украины становится борьбой за будущее самого украинского проекта? Доктор политических наук Александр Семченко обсуждает роль президента Польши Навроцкого и премьера Туска, исторические корни украинского национализма, польские амбиции и попытки ударить по репутации Зеленского. В выпуске — Трамп, НАБУ, офшоры, биолаборатории, западные области Украины, идея Польши «от моря до моря», Новоросси

💯8👍6🔥41👎1🫡1

Showing the 12 most recent of 20 posts we hold for @nevenchannyy. 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 — 31,228 of 1,481,217entries 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

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 2 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.

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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q104658722 on Wikidata, read 16 August 2026
LabelMaxim Nevenchanny
DescriptionUkrainian politician

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Максим Невенчанный Ⓜ️” (@nevenchannyy), 674 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/nevenchannyy.

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.