@mariakuzmina80 was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@mariakuzmina80 held 9 August 2026 – 9 August 2026
Growth
3 measurements spanning 9 days, net +1. 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 75–76 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 16:16
76
+1
9 Aug 2026, 21:32
75
no change
7 Aug 2026, 21:59
75
first reading
Engagement
3 posts held, back to 8 August 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 1 page 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 3 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4s
Average length
4s
Measured directly from 1 video 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
37 reactions across 3 posts, in 10 distinct kinds. The most used accounts for 27.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
10
27.0%
custom 5271850331800610663
6
16.2%
custom 5305631477944299492
6
16.2%
custom 5271468762611067349
5
13.5%
custom 5285528960824781843
3
8.11%
custom 5219974844921171362
2
5.41%
custom 5249029250706595338
2
5.41%
custom 5413772973431599349
1
2.70%
custom 5452050220189759258
1
2.70%
🔥
1
2.70%
Custom emoji. 8 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 3 of the 3 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 3 most recent posts we hold, published 8 August 2026 to 9 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.
Был-жил такой филолог, я о нём уже рассказывала, но можно и напомнить. Один из моих любимых учёных, В.В. Колесов – главный исследователь знаменитого нонфика времён Ивана Грозного «Домострой», автор множества книг, среди которых «Древнерусская цивилизация». Он писал о противопоставлении Тёмного леса и Чистого поля в сознании русичей. Поле – это вызов, путь богатыря или Ивана Царевича: оба ищут проблем на... свою голов…
Продолжаю «Идиота». Жаль, что скоро финал. Когда читала сон Ипполита – вспомнила о Кафке. Который восхищался Достоевским. То, что приснилось умирающему юноше в XIX веке как кошмар, – описано скромным чиновником с громадным внутренним миром в 1912 году. Страшный «скорлупчатый» скорпион из кошмарного сна стал рядовым насекомым, не страшным, – тривиальным, скучным, обыденным... Кроме того, что в него превращается чело…
«Мильоны — вас. Нас — тьмы, и тьмы, и тьмы.
Попробуйте, сразитесь с нами!
Да, скифы — мы! Да, азиаты — мы,
С раскосыми и жадными очами!»
Вчера была память Александра Блока, поэтому уместно вспомнить скифов. Особенно тогда, когда тусишь в самом сердце бывшего Джунгарского ханства, которое населяли скифы. В составе России – со второй половины XVIII века. Скифы тут живут до сих пор! На самом деле, конечно, не скифы, а …
Showing the 3 most recent of 3 posts we hold for @mariakuzmina80. 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
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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Мария Кузьмина // Вверх по лестнице” (@mariakuzmina80), 76 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/mariakuzmina80.
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.
