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Telegram profile photo for Мария Снеговая

Channel

Мария Снеговая

@mariasnegovaya

On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

7,878subscribers

-67 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001507298462
TypeChannel
Username@mariasnegovaya
DescriptionRussia/CEE, @Columbia PhD in Poli Sci, @HSE_eng к.э.н. Looking into the abyss
Created25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/mariasnegovaya

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 the other topics.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 6 other registered channels, 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.

Growth

7,8787,9467,9126 August 2026 — 7,945 subscribers6 August 2026 — 7,945 subscribers6 August 2026 — 7,946 subscribers9 August 2026 — 7,937 subscribers12 August 2026 — 7,930 subscribers16 August 2026 — 7,920 subscribers19 August 2026 — 7,913 subscribers22 August 2026 — 7,914 subscribers25 August 2026 — 7,909 subscribers28 August 2026 — 7,913 subscribers31 August 2026 — 7,909 subscribers3 September 2026 — 7,907 subscribers9 September 2026 — 7,897 subscribers13 September 2026 — 7,892 subscribers17 September 2026 — 7,924 subscribers25 September 2026 — 7,912 subscribers5 October 2026 — 7,901 subscribers11 October 2026 — 7,892 subscribers14 October 2026 — 7,893 subscribers18 October 2026 — 7,889 subscribers23 October 2026 — 7,896 subscribers26 October 2026 — 7,895 subscribers31 October 2026 — 7,889 subscribers3 November 2026 — 7,882 subscribers6 November 2026 — 7,878 subscribers6 August 20266 November 2026
25 measurements spanning 92 days, net -67. 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 7,868–7,956 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
6 Nov 2026, 07:167,878-4
3 Nov 2026, 09:377,882-7
31 Oct 2026, 19:187,889-6
26 Oct 2026, 04:597,895-1
23 Oct 2026, 11:317,896+7
18 Oct 2026, 03:087,889-4
14 Oct 2026, 18:377,893+1
11 Oct 2026, 19:167,892-9
5 Oct 2026, 00:367,901-11
25 Sept 2026, 20:577,912-12
17 Sept 2026, 05:397,924+32
13 Sept 2026, 12:197,892-5
9 Sept 2026, 09:187,897-10
3 Sept 2026, 16:357,907-2
31 Aug 2026, 07:577,909-4
28 Aug 2026, 14:447,913+4
25 Aug 2026, 10:267,909-5
22 Aug 2026, 17:097,914+1
19 Aug 2026, 07:397,913-7
16 Aug 2026, 17:587,920first reading

Engagement

53 posts held, back to 15 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 28 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.3%
avg views ÷ 7,878 subscribers
Avg views / post
2,460
26 posts measured
Reaction rate
1.80%
reactions ÷ views · ER floor
Posts in window
26
of 53 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 7 November 2026
Posts held53 (15 July 2026 – 7 November 2026)
Views total64,085
Reactions total1,153
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 12:19 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.

What this channel posts

Photos
≈1,810
Videos
≈252
Links
≈2,610

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
8m 14s
Average length
1m 39s

Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

2,120 reactions across 53 posts, in 9 distinct kinds. The most used accounts for 39.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍84639.9%
😁36917.4%
❤27112.8%
🤬1929.06%
💯1235.80%
😱1185.57%
😢1165.47%
🤔482.26%
👎371.75%

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 53 of the 53 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 2,120 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 15 July 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 4 of 26 posts held from the last 30 days (15.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 06:39 UTC815 views13 reactionsread 7 November 2026
Forwarded from @luxta_tvPhoto

Итоги «СВО»

😢6😁5👍2

Signed Maria Snegovaya

4 Nov 2026, 16:28 UTC≈1,990 views75 reactionsread 7 November 2026

Очень надеюсь, что после мидтермов в США исчезнут поверхностные сравнения США с Россией, Трампа с Путиным и спекуляции по поводу третьего срока Трампа. В США много проблем, в том числе эрозия демократии, но это страна, принципиально отличающаяся от России: с очень сильным гражданским обществом, значимой ролью штатов и работающими (пусть и не идеально) институтами.

👍52❤15💯3😁3👎2

Signed Maria Snegovaya

4 Nov 2026, 14:23 UTC≈1,420 views35 reactionsread 7 November 2026
Forwarded from @ksonin

В Северной Каролине Трамп, фактически, заставил республиканца Тиллиса отказаться от переизбрания на второй срок. Место проиграно. В Южной Каролине после смерти сенатора Грэма Трамп продавил назначение на его место – и сразу же на роль кандидатки в Сенат – его сестру, не имевшую политического опыта. Результат – штат, в котором Трамп набрал на 18 процентов больше, чем Харрис в 2024 году, ушёл к демократам. Даже сенатс…

👍28❤7

Signed Maria Snegovaya

4 Nov 2026, 14:23 UTC≈1,250 views24 reactionsread 7 November 2026
Forwarded from @ksonin

ПЕРВЫЕ ВЫВОДЫ Выводы из результатов промежуточных выборов в США в 2026 году выглядят примерно так. 1) Демократическая партия одержала решительную и крупную победу. Такой крупной победы на выборах в Конгресс, считая и промежуточные, и президентские выборы, не было уже 50 лет, с 1974 года (с Уотергейта). Точные результаты пока неизвестны, но у демократов будет 54-55 мест в Сенате и 240-260 мест в Палате представите…

👍22❤2

Signed Maria Snegovaya

4 Nov 2026, 14:18 UTC≈1,240 views36 reactionsread 7 November 2026
Photo

Коротко о результатах мидтермов в США

👍18❤8💯6😁4

Signed Maria Snegovaya

3 Nov 2026, 18:33 UTC≈1,510 views48 reactionsread 7 November 2026

Не согласна только с тем, что это «парадоксально». Как раз закономерно: советский миф держался на лжи и силе - военном присутствии и репрессиях (кто не согласен - того в ГУЛАГ). Но когда силы не стало (или стало гораздо меньше), одной лжи оказалось недостаточно, чтобы этот миф поддерживать (хотя мы видим, что российская пропаганда очень старается). 1. Миф о том, что разгром Красной армии случился из-за неожиданного …

👍24❤13💯8👎2😁1

Signed Maria Snegovaya

2 Nov 2026, 08:26 UTC≈1,530 views20 reactionsread 7 November 2026
Forwarded from @novaya_eu_istoriiPhoto

🪖 Свыше 220 российских вузов агитируют студентов идти на войну. Им обещают легкую службу, магистратуру без экзаменов и работу после возвращения Почти каждый второй государственный вуз в России, и 76 из топ-100, участвуют в агитации студентов вступать в беспилотные войска. Масштабная кампания началась в феврале 2026 года и охватила почти всю страну. 🧑‍🎓 Если в 2022–2025 годах сообщения о вербовке студентов были един…

👍8😱6😢3🤬2❤1

Signed Maria Snegovaya

1 Nov 2026, 17:58 UTC≈1,770 views31 reactionsread 7 November 2026
Forwarded from @nexta_livePhoto

🔥 Украина за 3 дня атаковала российские НПЗ, на которые приходится около 10% нефтеперерабатывающих мощностей РФ Под удары попали три предприятия: Новокуйбышевский НПЗ, «Башнефть-Новойл» и «ЛУКОЙЛ-Нижегороднефтеоргсинтез». По данным Dnipro Osint, их суммарная мощность составляет 30–33 млн тонн нефти в год — почти 10% всех нефтеперерабатывающих мощностей России.

👍24❤6🤬1

Signed Maria Snegovaya

1 Nov 2026, 17:58 UTC≈1,680 views18 reactionsread 7 November 2026
Forwarded from @nexta_livePhoto

Зеленский сравнил потери российской армии за октябрь с девятью военными парадами на Красной площади Самым тяжёлым днём для российской армии стало 21 октября, когда, по данным ВСУ, её потери составили 2250 человек. При этом за октябрь украинские Силы обороны освободили 96,2 км² территории — на 10,4 км² больше, чем российские войска смогли захватить за тот же период.

👍16👎2

Signed Maria Snegovaya

31 Oct 2026, 17:58 UTC≈1,940 views19 reactionsread 7 November 2026

"Не говори с тоской: их нет; Но с благодарностию: были." https://t.me/SergeiMedvedevPublic/1088

👍16❤2😢1

Signed Maria Snegovaya

30 Oct 2026, 18:55 UTC≈1,940 views40 reactionsread 7 November 2026
Forwarded from @theinsider

Белый дом уговаривает американские компании купить российский дизель, но те отказываются из-за юридических рисков — The Washington Sun Как минимум три танкера с российским топливом должны прибыть в США на следующей неделе после промежуточных выборов. Подтверждённого покупателя у груза при отправке не было. Танкер Agioi Fanendes изначально шёл в порт Нью-Йорка и Нью-Джерси, но теперь пункт назначения в данных отслежи…

👍23😁12🤔3❤2

Signed Maria Snegovaya

29 Oct 2026, 19:09 UTC≈2,030 views80 reactionsread 7 November 2026
Forwarded from @nexta_liveVideo

«Миф о том, что Россия всегда побеждает, успешно навязали Западу. Но история говорит об обратном», — глава МИД Польши Радослав Сикорский Министр напомнил, что Россия далеко не всегда выходила победителем из войн: «Они проиграли Крымскую войну. Проиграли войну с Японией. Вышли из Первой мировой войны, поджав хвост. Проиграли вторжение в Польшу. Проиграли в Афганистане. И проиграли холодную войну». «Так что всё може…

👍58💯16😁5🤬1

Signed Maria Snegovaya

Showing the 12 most recent of 53 posts we hold for @mariasnegovaya. 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

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 5 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.

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.

Kynev
@alexander_kynev · 19,553
Telegram ranks this channel #14 of 93 here — alongside 92 others — read 30 September 2026
Как бы Mikhail Vinogradov
@Vinogradov74 · 28,102
Telegram ranks this channel #20 of 93 here — alongside 92 others — read 10 September 2026
Boris Pastukhov
@b_pastukhov · 24,656
Telegram ranks this channel #24 of 95 here — alongside 94 others — read 15 September 2026
Григорий Явлинский
@gr_yavlinsky · 19,835
Telegram ranks this channel #34 of 90 here — alongside 89 others — read 27 September 2026
Подосокорский
@podosokorsky · 29,667
Telegram ranks this channel #35 of 97 here — alongside 96 others — read 8 September 2026
Faridaily
@faridaily24 · 62,427
Telegram ranks this channel #53 of 96 here — alongside 95 others — read 21 August 2026
ЭКОНОМИСТ ИГОРЬ ЛИПСИЦ
@LipsitsIgor · 39,692
Telegram ranks this channel #54 of 94 here — alongside 93 others — read 30 August 2026
Николай Травкин
@NTravkin · 25,083
Telegram ranks this channel #65 of 96 here — alongside 95 others — read 14 September 2026
baunovhaus
@baunovhaus · 35,648
Telegram ranks this channel #65 of 94 here — alongside 93 others — read 1 September 2026
Andrey Malgin
@AndreyMalginItalia · 18,630
Telegram ranks this channel #85 of 93 here — alongside 92 others — read 5 October 2026

This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

Q129696597 on Wikidata, read 1 November 2026
LabelMaria Snegovaya
Descriptionresearcher about Russian foreign policy
X / Twitter@MSnegovaya
Official sitehttps://mariasnegovaya.com

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Мария Снеговая” (@mariasnegovaya), 7,878 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/mariasnegovaya.

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.