Уникальная ссылка подтверждающая регистрацию этого канала в РКН: https://knd.gov.ru/license?id=6737f1dd290fef0e01127d24®istryType=bloggersPermission
Created
26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
10 measurements spanning 7 days, net -33. 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 17,088–17,131 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 09:37
17,093
-9
12 Aug 2026, 08:54
17,102
-2
11 Aug 2026, 12:26
17,104
-2
10 Aug 2026, 15:31
17,106
-5
9 Aug 2026, 12:51
17,111
-5
8 Aug 2026, 14:22
17,116
-5
7 Aug 2026, 12:20
17,121
-3
6 Aug 2026, 12:41
17,124
-2
6 Aug 2026, 03:15
17,126
no change
6 Aug 2026, 03:08
17,126
first reading
Engagement
16 posts held, back to 29 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
26.9%
avg views ÷ 17,093 subscribers
Avg views / post
4,600
16 posts measured
Reaction rate
2.84%
reactions ÷ views · ER floor
Posts in window
16
of 16 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
Window
Rolling 30 days · latest post in window 13 August 2026
Posts held
16 (29 July 2026 – 13 August 2026)
Views total
73,525
Reactions total
2,085
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 14:50 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
≈2,850
Videos
≈336
Links
≈982
Lifetime counters from Telegram’s own channel header, read 13 August 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
29s
Average length
29s
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
1,926 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 46.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
900
46.7%
👍
477
24.8%
😁
220
11.4%
🔥
115
5.97%
💯
109
5.66%
👀
68
3.53%
🥰
35
1.82%
😍
2
0.104%
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 16 of the 16 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 2,085reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 29 July 2026 to 13 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.
🗣️ Подготовка Степановой по-прежнему строится с прицелом на международные старты. Именно поэтому часть сборов Вероника проводит в Европе:
«Я тренируюсь там, где нужно мне и где посчитал нужным мой тренер. Он знает что делает. Например, в Западной Европе — потому, что «призовые скачки» в лыжных гонках (пока) проходят именно там. Именно для этого нас выращивают, поят, кормят и холят.
Мои обязательства в контракте с г…
Александр Большунов заявил, что результаты важнее, чем медийная активность.
«Достойно, когда доказываешь все результатами. А когда ты балаболишь и ни хрена не делаешь, смысл? В спорте главное – результат. Это двигатель всего», – сказал спортсмен
Это он в свою ЦА = активных комментаторов "серебряного возраста" в соцсетях = метит? Не так много их, но они громкие. И все именно так думают: "главное - результат, остальн…
Есть у нас великий лыжник, у которого все остальные спортсмены могли бы и должны были бы поучиться. Умению грамотно, современно, рационально готовиться к соревнованиям например - там очень много делается впервые в нашей стране и делается исключительно интересно. Вместо этого - рассказы о том, как “обманываешь себя, а они не дают, не пускают, украли лучшие годы карьеры”. Вряд ли “они” прослезятся и передумают.
А я по…
Святая наивность всегда поражает. У меня не было никаких иллюзий уже весной 2022: если мы вернемся к международным выступлениям, то вернемся все вместе, командой. С флагом, гимном и на условиях, полностью аналогичных тем, на которых выступают наши соперники. Во всяком случае, это мои личные условия и я их с 2022 года не меняла. И ни об одном своем слове или поступке не жалею. Я еще свое возьму - на лыжне и не только.
[ЗАЛЕЗ В СВОЙ ФИЛЬМ]
Оператор оставил камеру и через мгновение в кадр влез режиссёр!
Так материал превращается в бэкстейдж 🫠
Получается твоему вниманию бекстейдж со съёмок
д/ф МАМА СКОРО БУДЕТ ДОМА
Очень люблю фотографировать, но очень редко это делаю.
Заведу отдельную рубрику.
Назову…
Мой мир 24-107
Италия? Россия!
Весь, кажется, итальянский травертин сразу отправляется в Подмосковье, где сливается в экстазе с отечественными металлоконструкциями и становится фасадами домов и даже заборами.
Кстати лучший в мире травертин совсем даже не итальянский, а камчатский, из Налычево☝️Теперь и вы знаете.
«Лыжные гонки это не стиль жизни. Это сама жизнь…»
Посмотрела Дина на эту мою жизнь - и решила, что водные виды спорта куда перспективнее. Включая ритмическую гимнастику в лужах и борьбу в грязи. Доступно, демократично, динамично и интересам широкой публике отвечает ✔️
“Делай как я говорю, а не как я делаю” - это и про меня тоже, увы
❤83👍27🔥6
Showing the 12 most recent of 16 posts we hold for @NikaStepp01. 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 — 138,408 of 1,169,250entries 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 4 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Вероника Степанова ⛷” (@NikaStepp01), 17,093 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/NikaStepp01.
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.
