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Channel

Elena.FS

@Elena_f_Sitnikova

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

364subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001193954425
TypeChannel
Username@Elena_f_Sitnikova
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/Elena_f_Sitnikova

Growth

361364362.57 August 2026 — 362 subscribers7 August 2026 — 361 subscribers8 August 2026 — 361 subscribers15 August 2026 — 364 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +2. 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 361–364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 15:53364+3
8 Aug 2026, 06:34361no change
7 Aug 2026, 22:53361-1
7 Aug 2026, 09:20362first reading

Engagement

16 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.07%
avg views ÷ 364 subscribers
Avg views / post
18.4
16 posts measured
Reaction rate
8.99%
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. It is computed over the 5 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held16 (7 August 20268 August 2026)
Views total295
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:34 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

Video runtime
8m 48s
Average length
53s

Measured directly from 10 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

8 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 62.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍562.5%
112.5%
🤡112.5%
🤮112.5%

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 5 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 8reactions 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 7 August 2026 to 8 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

8 Aug 2026, 05:37 UTC7 viewsread 8 August 2026
Forwarded from @russ_orientalist

Про "веселого молочника" Джастаса Уолкера наверное читали. Это тот американец, сын протестантского священника, который решил остаться в России и производить сыр. Стал известен после интервью в 2014 году, когда он весело смеялся над санкциями. С сыром у американца как-то не пошло дело, и с паспортом не пошло. Жил по ВНЖ где-то в селе на Алтае. Но теперь ему с женой и тремя детьми грозит депортация. Что сказать? В мир

Signed Elena Ф. Ситникова FS

8 Aug 2026, 05:20 UTC8 views1 reactionsread 8 August 2026
Forwarded from @nemalahovVideo

А это трогательная история из Питера, который, как известно, никогда не разочаровывает. Несмотря на проблемы со здоровьем, петербурженка ежедневно отправляется кормить уличных котов по всем окрестным дворам. Эта преданность пушистым подопечным дарит ей силы и стала подлинным смыслом жизни бабульки. Посмотрите, как ее любит котик. А старушка обязательно попадёт в рай НеМалахов МАХ

1

Signed Elena Ф. Ситникова FS

8 Aug 2026, 05:18 UTC9 viewsread 8 August 2026
Forwarded from @nemalahovVideo

Ля НеМалахов МАХ

Signed Elena Ф. Ситникова FS

8 Aug 2026, 05:15 UTC10 views1 reactionsread 8 August 2026
Video

После этого кадра и так все понятно... Что полная ху... 😉

🤮1

Signed Elena Ф. Ситникова FS

8 Aug 2026, 05:13 UTC10 views1 reactionsread 8 August 2026
Forwarded from @nemalahovVideo

Действительно, как? НеМалахов МАХ

🤡1

Signed Elena Ф. Ситникова FS

8 Aug 2026, 05:04 UTC11 viewsread 8 August 2026
Forwarded from @bankstaVideo

Дональд Трамп: Многие говорят, что я один из величайших президентов в истории. Журналист: Они так не говорят. @banksta

Signed Elena Ф. Ситникова FS

8 Aug 2026, 05:00 UTC10 viewsread 8 August 2026
Forwarded from @yaplakalPhoto

Бежим проверять 🍉

Signed Elena Ф. Ситникова FS

8 Aug 2026, 04:56 UTC11 viewsread 8 August 2026
Forwarded from @ostorozhno_novostiVideo

«Веселый молочник» Джастас Уолкер рассказал, что его семью выдворяют из России Уолкер рассказал, что в последнее время был занят работой на ферме и обустройством своего экокемпинга. Он также упомянул, что ранее хотел записать ролик о топливном кризисе в РФ: для покоса ему нужно около 1000 литров топлива, однако на Алтае отпускали ему лишь по 30 литров в руки. Но, по его словам, его семья столкнулась с проблемой куда

Signed Elena Ф. Ситникова FS

7 Aug 2026, 18:18 UTC29 viewsread 8 August 2026
Forwarded from @Channel_No6Photo

Спас-на-крови реставрируют бесконечное количество лет. В одном из неформальных гимнов Санкт-Петербурга «Налетела грусть» Розенбаума даже есть строчка «мечтаю снять леса со Спаса на крови» Была легенда, что когда со Спаса снимут леса, рухнет Союз. Леса сняли летом 1991 года Существует легенда, что полное освобождение Спаса на Крови от строительных конструкций оборачивается для России большими потрясениями. После ле

Signed Elena Ф. Ситникова FS

7 Aug 2026, 18:16 UTC25 viewsread 8 August 2026
Forwarded from @bankstaVideo

Трамп: «Мы забираем у Венесуэлы огромное количество нефти – миллиарды и миллиарды баррелей. Победителю достаются все трофеи». @banksta

Signed Elena Ф. Ситникова FS

7 Aug 2026, 18:15 UTC23 viewsread 8 August 2026
Forwarded from @svezhestiVideo

🗣 Президент США Трамп на примере Швейцарии рассказал, почему он хороший человек: "Посмотрите на Швейцарию. У нас с ними [торговый] дефицит в 39 миллиардов долларов. Я могу одним росчерком пера устранить этот дефицит, и тогда они больше не будут считаться элитной страной. Но при этом они платят всего полпроцента годовых. Это самые низкие ставки. И всë, что мне нужно сделать, это сказать: "Мне не нужны ваши часы, мне

Signed Elena Ф. Ситникова FS

7 Aug 2026, 18:15 UTC22 views4 reactionsread 8 August 2026
Forwarded from @retraVideo

Южноафриканская винодельня отказалась от использования пестицидов для защиты виноградников от вредителей и выбрала самый экологичный способ — уток. Дважды в день более 1000 уток организованно выходят в виноградники, где поедают улиток, слизней и насекомых. Одна такая стая за день способна уничтожить тысячи вредителей, а их помёт служит естественным удобрением для почвы. При этом самих уток охраняют... гуси. Да, эти

👍4

Signed Elena Ф. Ситникова FS

Showing the 12 most recent of 16 posts we hold for @Elena_f_Sitnikova. 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

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.

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

“Elena.FS” (@Elena_f_Sitnikova), 364 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Elena_f_Sitnikova.

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.