Telegram RegisterThe public register of Telegram

Channel

Дмитрий НЕКРАСОВ

@dnekrasov

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

7,742subscribers

-22 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001743340057
TypeChannel
Username@dnekrasov
Created24 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/dnekrasov

Growth

7,7417,7647,752.55 August 2026 — 7,764 subscribers6 August 2026 — 7,764 subscribers6 August 2026 — 7,755 subscribers9 August 2026 — 7,741 subscribers12 August 2026 — 7,742 subscribers7,7425 August 202612 August 2026
5 measurements spanning 7 days, net -22. 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 7,738–7,767 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:037,742+1
9 Aug 2026, 23:317,741-14
6 Aug 2026, 12:007,755-9
6 Aug 2026, 03:057,764no change
5 Aug 2026, 22:457,764first reading

Engagement

22 posts held, back to 8 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
68.9%
avg views ÷ 7,742 subscribers
Avg views / post
5,340
3 posts measured
Reaction rate
2.30%
reactions ÷ views · ER floor
Posts in window
3
of 22 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 11 August 2026
Posts held22 (8 June 202611 August 2026)
Views total16,010
Reactions total368
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:10 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

2,249 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 72.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,64072.9%
32014.2%
👎1265.60%
😢873.87%
🤔763.38%

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 22 of the 22 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 2,327reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 8 June 2026 to 11 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.

Recent posts

11 Aug 2026, 09:16 UTC≈3,060 views241 reactionsread 12 August 2026

В истории с Яблоком меня максимально позабавили не сами события, а поведение разнообразных комментаторов. Сначала множество серьезных людей с серьезным видом рассказывали, что «будет так-то, потому, что у Кремля такой-то план, для того-то». Потом ситуация менялась и те же люди с тем же серьезным видом снова объясняли как оно будет по какому плану Кремля и для чего. И когда ситуация кардинально развернулась в четверты

👍20128🤔10👎2

6 Aug 2026, 10:28 UTC≈5,290 views52 reactionsread 12 August 2026

Сегодняшний утренний разворот на Гвозде с привязкой по времени на мою часть https://youtu.be/ICHOJjJsVPw?t=5183

👍447👎1

25 Jul 2026, 07:09 UTC≈7,660 views75 reactionsread 12 August 2026

https://www.youtube.com/watch?v=JAV9or98k34&t=18s

👍629🤔3👎1

14 Jul 2026, 12:52 UTC≈5,900 views127 reactionsread 12 August 2026

Это не значит, что жизнь обычных россиян не будет ухудшаться. Уже начала. Но влияние этого ухудшения на войну может быть только опосредованным «отношение россиян к войне возможно ухудшится, а из-за этого Путин возможно пойдет на переговоры». Прямой счетной логики в духе «дойти до Киева тогда-то» в экономической сфере как не просматривалось, так и не просматривается. 3. Текущий бензиновый кризис – лишь одно из событий

👍9817😢9🤔3

14 Jul 2026, 12:52 UTC≈4,030 views117 reactionsread 12 August 2026

Я использовал сейчас именно эту из многих похожих историй не только потому, что сегодня за доллар дают 77 рублей (ровно столько, сколько в день перед войной), и ёрничания всепропальщиков от осени 2024 в этом контексте выглядят особенно комично. А потому, что это один из ярчайших примеров того, как почти бессмысленный с точки зрения устойчивости экономики и возможностей продолжения войны показатель при каждом своем ос

👍8521😢9🤔2

14 Jul 2026, 12:52 UTC≈3,950 views111 reactionsread 12 August 2026

О стратегических тупиках 1. За последние месяцы у меня случилось два очень похожих разговора с двумя очень разными людьми. Один 2-3 месяца назад рассказывал мне, что «ситуация на фронте радикально изменилась, Путин больше не наступает», другой недавно рассказывал, что «ситуация на фронте радикально изменилась, Путин снова наступает». Обоим я пытался объяснить, что последнее достойное обсуждения изменение ситуации на

👍8226😢2🤔1

14 Jul 2026, 12:52 UTC≈9,870 views211 reactionsread 12 August 2026

Потерянные доллары или тонны влияют на возможности вести войну прямым образом, только если вы в Германии 1944 года, и возможности сокращать другие статьи расходов уже исчерпаны. В ситуации текущей войны возможна лишь длинная цепочка производных: потери тонн ведут к потерям уровня жизни, которые с неизвестным коэффициентом пересчитываются в снижение поддержки войны населением, которое с неизвестным коэффициентом перес

👍151😢3022🤔5👎3

12 Jul 2026, 16:31 UTC≈5,090 views117 reactionsread 12 August 2026

Перечитал тут «Сон Сципиона» Йена Пирса. Перечитывать начал довольно случайно, без глубокомысленных мотивов. И вроде бы я относительно неплохо помнил основную линию книги про цивилизацию и варварство. Однако после событий последних лет – читается совершенно по-новому. Как притча об уехавших и оставшихся, о том почему одни поступили так а другие иначе, и как по-разному оправдывают они свой выбор. О том почему сохранен

👍8522🤔8😢2

9 Jul 2026, 11:06 UTC≈6,680 views51 reactionsread 12 August 2026

Сегодня на Живом Гвозде сразу с тайм-кодом на мое выступление. https://youtu.be/-CrApcEG8LM?t=5489

👍42🤔63

5 Jul 2026, 09:17 UTC≈8,420 views63 reactionsread 12 August 2026

На своих платных ресурсах выложил большой текст о сходствах Рима, Венеции и Англии периодов расцвета, управлявшихся узкой группой из 200-300 семей-акционеров, состав которых обновлялся очень похожими темпами за столетие. Почему системы основанные на совладении семьями-акционерами оказывались долгосрочно успешнее даже лучших примеров политий, основанных на меритократическом отборе чиновников, вроде Китая и Османов. П

👍46👎132😢2

25 Jun 2026, 09:09 UTC≈9,320 views93 reactionsread 12 August 2026

Посмотрел аналитику о состоянии банковского сектора за май и решение ЦБ о более умеренном понижении ставки стало мне гораздо более понятно. А) Начало заметно расти потребкредитование физлиц. С конца 2024 года по эту весну объем потребительских кредитов сокращался даже в номинальном выражении, т.е. физлица в совокупности гасили больше старых кредитов, чем брали новых, а плюс к тому еще и проценты платили. А тут тр

👍6615🤔12

23 Jun 2026, 12:00 UTC≈6,680 views165 reactionsread 12 August 2026

Резкий рост цен, конечно крайне политически неприятен. Однако напомню 3 базовых причины почему в подобных ситуациях неконтролируемо высокие цены всегда лучше их регулирования. При высоких ценах: а) дефицитного товара на рынке будет физически больше, тк большее число желающих заработать начнут его завозить извне; б) сокращение потребления происходит не резко-принудительно, а по выбору самого потребителя (человек реш

👍14221👎1🤔1

Showing the 12 most recent of 22 posts we hold for @dnekrasov. 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

Citation-graph rank — 458,924 of 1,478,351entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 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.

Q4316576 on Wikidata, read 9 August 2026
LabelDmitriy Nekrasov
X / Twitter@d_nekrasov

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

“Дмитрий НЕКРАСОВ” (@dnekrasov), 7,742 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/dnekrasov.

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.