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Вепревы Дети и всё остальное

@nifanafanufa

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

2,221subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002023060763
TypeChannel
Username@nifanafanufa
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held3
Confirmed unchanged3 times, most recently 17 August 2026
On Telegramt.me/nifanafanufa

Growth

2,2162,2212,218.56 August 2026 — 2,216 subscribers6 August 2026 — 2,216 subscribers12 August 2026 — 2,221 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net +5. 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 2,215–2,222 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 02:522,221+5
6 Aug 2026, 06:032,216no change
6 Aug 2026, 04:372,216first reading

Engagement

11 posts held, back to 2 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.4%
avg views ÷ 2,221 subscribers
Avg views / post
654
11 posts measured
Reaction rate
13.8%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 6 August 2026
Posts held11 (2 August 20266 August 2026)
Views total7,194
Reactions total991
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:50 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.

Reaction mix

928 reactions across 10 posts, in 10 distinct kinds. The most used accounts for 61.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
56761.1%
🥰12012.9%
👍879.38%
🔥788.41%
😁373.99%
❤‍🔥161.72%
💯141.51%
🫡50.539%
🐳30.323%
💘10.108%

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 11 of the 11 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 991reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 2 August 2026 to 6 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

6 Aug 2026, 10:59 UTC425 views85 reactionsread 7 August 2026
Photo

В ожидании погрузки на теплоход "Беломорье")

🥰3523👍15🫡5❤‍🔥4🔥2💘1

Signed Надежда Панкова

5 Aug 2026, 20:31 UTC572 views25 reactionsread 7 August 2026

Кабаны помогли воронам оценить безопасность еды https://share.google/q20YdYsxz9d1OEEep

18👍4🔥2❤‍🔥1

Signed Надежда Панкова

5 Aug 2026, 19:11 UTC557 views79 reactionsread 7 August 2026
Photo

Рисовали с детьми впечатления вчерашнего дня. Вот у меня так. Найдете кабанчика?)

🥰43🔥1711👍6❤‍🔥2

Signed Надежда Панкова

5 Aug 2026, 19:02 UTC567 views85 reactionsread 7 August 2026
Photo

- А кабаны отсюда пьют? А кабаны здесь купаются? - спрашивали меня дети. От водопада шла упоительная прохлада. Да что водопад, там есть пещера, в которой летнюю жару пережил лёд. Была бы я кабаном, так и сидела бы у этого водопада все лето)

66💯14🐳3❤‍🔥2

Signed Надежда Панкова

5 Aug 2026, 18:52 UTC559 views69 reactionsread 7 August 2026
Photo

В Пинежском заповеднике проходит детская творческая экспедиция, и меня туда позвали рассказать детям о книгах про кабанов (ну и про самих кабанов). Это было в день приезда и после довольно тяжёлой дороги дети сначала откровенно дремали. Но ровно до того момента, как я показала фото, где мы обнимаемся с Фанечкой. Все резко проснулись и не засыпали уже до конца презентации. А на следующий день мы пошли на экскурсию к п

56🔥10❤‍🔥2👍1

Signed Надежда Панкова

4 Aug 2026, 18:00 UTC638 views102 reactionsread 7 August 2026
Photo

#кабан_каждый_день Искупавшись)

75🥰17👍7😁2🔥1

Signed Надежда Панкова

3 Aug 2026, 09:40 UTC703 views83 reactionsread 7 August 2026
Photo

Рубрика #кабан_каждый_день ))

81🔥2

Signed Надежда Панкова

3 Aug 2026, 08:45 UTC956 views136 reactionsread 7 August 2026
Photo

Странно, но зоология делает меня гораздо терпимее к людям. Вот, к примеру, идёт по Архангельску подросток и, украдкой, рисует на стене старого деревянного дома какую-то малоэстетичную закорюку. И очень доволен собой. - Вот, поганец! - первая мысль. А потом: - Так он же просто поставил метку. Он так территорию осваивает. Как кабан, медведь или лось. Просто у него вместо клыков, когтей и рогов - баллончик с краской. И

81😁35👍16🔥4

Signed Надежда Панкова

2 Aug 2026, 20:06 UTC728 views133 reactionsread 7 August 2026
Photo

В Архангельске на берегу Северной Двины есть памятник тюленю. Если бы не кабаны, я стала бы изучать тюленей. И написала бы про них книгу)

83🥰25👍17❤‍🔥5🔥3

Signed Надежда Панкова

2 Aug 2026, 16:09 UTC743 views131 reactionsread 7 August 2026
Photo

Спасибо, Архангельск! Спасибо всем, кто пришел меня послушать несмотря на жару (вчера) и дождь (сегодня)! Все книжки про кабанов раскупили). Хотя, казалось бы, где Архангельск, а где кабаны. На самом деле кабаны в Архангельской области, конечно, есть. И один из читателей, пока я ему подписывала книгу, рассказал про вепрей, разоряющих архангельские огороды.

73🔥37👍21

Signed Надежда Панкова

2 Aug 2026, 15:58 UTC≈746 views63 reactionsread 6 August 2026
Photo

Что общего между кабаном и налимом, мной и Сеней Малиной? Вчера я рассказывала про кабанов на сцене под названием "Сеня Малина" в Петровском парке Архангельска. И я мучительно пыталась вспомнить, кто такой этой Сеня. Да простят меня Архангелогородцы. А сегодня мы нашли в городе Налима Малиныча, и в моей дырявой голове щелкнуло! Налим Малиныч - это же "ручной" налим Сени Малины! А сам Сеня - персонаж из сказок Степана

Signed Надежда Панкова

Showing the 11 most recent of 11 posts we hold for @nifanafanufa. 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 — 547,804 of 1,549,704entries 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 2 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.

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

“Вепревы Дети и всё остальное” (@nifanafanufa), 2,221 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/nifanafanufa.

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.