Telegram RegisterThe public register of Telegram
Telegram profile photo for Sasha Boikova

Channel

Sasha Boikova

@alexandraboikova

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry

8,393subscribers

+1,043 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-1001719022387
TypeChannel
Username@alexandraboikova
DescriptionFigure skater Немного обо всем: литературе, Петербурге и обо мне
Created12 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/alexandraboikova

Topic

Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 17 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

9,270 average views per post against 8,347 subscribers — an engagement rate of 111.1%. Across the 16,385 registered channels in the same cohort — 3,183–9,999 subscribers, posting mainly in Russian — the middle half sit between 6.90% and 25.3%, with a median of 13.6%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured20 of 20 published in the window (0 exact, 20 rounded by Telegram)
Views totalled185,440
Mature posts only118.2% over 18 posts read at least 24h after publication
Subscribers8,347 measured 2 November 2026
Cohortb3162:rus · 16,385 channels · p10 3.55% · p25 6.90% · p50 13.6% · p75 25.3% · p90 41.1%
Position in cohort99.481th percentile · 8.2× the cohort median
Uncertainty±0.058% of the figure, from Telegram’s rounding
Post languageRussian · 88.9% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

7,3508,3937,871.56 August 2026 — 7,350 subscribers6 August 2026 — 7,350 subscribers9 August 2026 — 7,373 subscribers11 August 2026 — 7,452 subscribers15 August 2026 — 7,467 subscribers18 August 2026 — 7,480 subscribers22 August 2026 — 7,479 subscribers25 August 2026 — 7,508 subscribers28 August 2026 — 7,501 subscribers31 August 2026 — 7,603 subscribers3 September 2026 — 7,704 subscribers9 September 2026 — 7,770 subscribers13 September 2026 — 7,823 subscribers16 September 2026 — 7,892 subscribers25 September 2026 — 7,939 subscribers5 October 2026 — 8,027 subscribers11 October 2026 — 8,124 subscribers14 October 2026 — 8,118 subscribers17 October 2026 — 8,126 subscribers20 October 2026 — 8,157 subscribers24 October 2026 — 8,246 subscribers27 October 2026 — 8,333 subscribers30 October 2026 — 8,352 subscribers2 November 2026 — 8,347 subscribers5 November 2026 — 8,357 subscribers8 November 2026 — 8,393 subscribers6 August 20268 November 2026
26 measurements spanning 94 days, net +1,043. 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 7,194–8,549 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
8 Nov 2026, 09:378,393+36
5 Nov 2026, 12:368,357+10
2 Nov 2026, 12:578,347-5
30 Oct 2026, 04:578,352+19
27 Oct 2026, 00:048,333+87
24 Oct 2026, 05:368,246+89
20 Oct 2026, 23:568,157+31
17 Oct 2026, 22:558,126+8
14 Oct 2026, 14:088,118-6
11 Oct 2026, 13:198,124+97
5 Oct 2026, 00:188,027+88
25 Sept 2026, 18:007,939+47
16 Sept 2026, 22:207,892+69
13 Sept 2026, 05:387,823+53
9 Sept 2026, 12:157,770+66
3 Sept 2026, 21:167,704+101
31 Aug 2026, 14:437,603+102
28 Aug 2026, 07:127,501-7
25 Aug 2026, 04:057,508+29
22 Aug 2026, 07:457,479first reading

Engagement

69 posts held, back to 18 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 29 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
108.6%
avg views ÷ 8,393 subscribers
Avg views / post
9,120
26 posts measured
Reaction rate
8.23%
reactions ÷ views · ER floor
Posts in window
26
of 69 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 8 November 2026
Posts held69 (18 July 2026 – 8 November 2026)
Views total237,070
Reactions total19,502
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 00:33 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
≈1,260
Videos
≈80
Links
≈49

Lifetime counters from Telegram’s own channel header, read 9 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
2m 26s
Average length
37s

Measured directly from 4 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

39,063 reactions across 69 posts, in 45 distinct kinds. The most used accounts for 60.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤23,57960.4%
🔥5,40313.8%
❤‍🔥3,1368.03%
🥰1,6204.15%
💘1,4903.81%
😍9342.39%
👍7952.04%
🙏3991.02%
💔3240.829%
💅2640.676%
🏆2340.599%
💋1510.387%
🤩1020.261%
💯1000.256%
👏750.192%
😭660.169%
👀560.143%
😎560.143%
🌭410.105%
🦄380.097%
25 further kinds2000.512%

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 69 of the 69 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 39,063 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 69 most recent posts we hold, published 18 July 2026 to 8 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: 0 of 26 posts held from the last 30 days (0%) 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).

8 Nov 2026, 15:10 UTC≈3,920 views363 reactionsread 9 November 2026
Photo

Сегодня продолжаем вечер постановок по Пушкину на шоу Пиковая Дама🖤❤️‍🔥

❤258❤‍🔥53🔥36💘7👍6🥰2💔1

Signed Sasha Boikova

8 Nov 2026, 06:31 UTC≈6,370 views1,286 reactionsread 9 November 2026
Photo

Наши парни - мощь💪🏻❤️‍🔥 Спасибо, красавцы и бойцы🥹

❤864💘193❤‍🔥161🔥41💔10👍8💋6🥰3

Signed Sasha Boikova

7 Nov 2026, 18:42 UTC≈4,790 views521 reactionsread 9 November 2026
Photo

Выходные по Пушкину начались с Евгения Онегина в театре Маяковского😌 Очень понравилась постановка! Заключительный танец в первом отделении на именинах Татьяны Лариной и декорации в виде сосулек во втором - отдельный восторг!😻 Очень понравилась игра Татьяны Орловой в роли няни Татьяны Лариной и Мамуки Патаравы в образе Евгения Онегина👏

❤357❤‍🔥89💋39🔥22👍8💘2🥰2💔1

Signed Sasha Boikova

7 Nov 2026, 10:02 UTC≈9,680 views1,817 reactionsread 9 November 2026
Photo

Санечка, умничка!!!🥹🙏🏻❤️‍🔥

❤1,230🔥337🙏152🏆44❤‍🔥18💔13💘12💋4

Signed Sasha Boikova

7 Nov 2026, 05:17 UTC≈5,000 views366 reactionsread 9 November 2026
Photo

Рубрика Look of the day На мне: Рубашка BNPRT Брюки Unique Fabric Сапоги Rosi

❤237❤‍🔥68👏26👍11🔥8💋6😍4🥰2

Signed Sasha Boikova

6 Nov 2026, 08:30 UTC≈4,460 views440 reactionsread 9 November 2026
Photo

Рубрика Look of the day На мне: Платье Lime Обувь WB

❤295🔥79💘37👍13💋5🥰5💔3👏2

Signed Sasha Boikova

5 Nov 2026, 05:08 UTC≈8,470 views421 reactionsread 9 November 2026
Photo

Рубрика Look of the day На мне: Жилет Lime Брюки Vassa&Co Сапоги Rosi

❤289🔥80💘29👍11👏3💔3💯2🌭1

Signed Sasha Boikova

4 Nov 2026, 20:21 UTC≈5,130 views801 reactionsread 9 November 2026
Photo

Что за сладуся такая, не подскажете?🥹

❤513🥰179💘64😍27🔥6👍4❤‍🔥3👀3

Signed Sasha Boikova

4 Nov 2026, 08:35 UTC≈9,890 views509 reactionsread 9 November 2026
Photo

Рубрика Look of the day На мне: Платье Ushatava Обувь MM6 Кулон The Tsacki

🔥263❤121❤‍🔥96👍14😍5🥰4💔3🌭1

Signed Sasha Boikova

3 Nov 2026, 18:34 UTC≈12,500 views896 reactionsread 9 November 2026
Photo

Ну очень мы не любим фотографироваться у мамы на ручках🫠

❤574🥰197❤‍🔥94💘16👍4💔4😘3😍2

Signed Sasha Boikova

3 Nov 2026, 08:31 UTC≈10,400 views498 reactionsread 9 November 2026
Photo

Рубрика Look of the day На мне: Платье Love Republic Туфли Yollo P.S. Как бы я ни любила тонкие, полупрозрачные колготки, пора надевать плотные, тепленькие🫠 на улице холодрыга

❤315❤‍🔥95🔥56👍18😍6🥰3🙉2💔1

Signed Sasha Boikova

2 Nov 2026, 05:08 UTC≈9,050 views478 reactionsread 9 November 2026
Photo

Рубрика Look of the day На мне: Костюм Love Republic Сапоги Maag

🔥222❤174❤‍🔥51👍16🥰8🦄2🌭1💔1

Signed Sasha Boikova

Showing the 12 most recent of 69 posts we hold for @alexandraboikova. 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 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.

Q27998743 on Wikidata, read 8 November 2026
LabelAleksandra Boikova
DescriptionRussian pair skater

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

“Sasha Boikova” (@alexandraboikova), 8,393 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/alexandraboikova.

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.