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Channel

Лисьи Огни

@fox_fires

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

34subscribers

+0 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1003020403167
TypeChannel
Username@fox_fires
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live18 August 2026
Measurements held2
Confirmed unchanged2 times, most recently 18 August 2026
On Telegramt.me/fox_fires

Growth

3411 Aug 2026, 01:15 — 34 subscribers11 Aug 2026, 04:17 — 34 subscribers11 Aug 2026, 01:1511 Aug 2026, 04:17
2 measurements taken within a single day. 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 33–35 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 04:1734no change
11 Aug 2026, 01:1534first reading

Engagement

8 posts held, back to 30 June 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
380.6%
avg views ÷ 34 subscribers
Avg views / post
129
5 posts measured
Reaction rate
15.1%
reactions ÷ views · ER floor
Posts in window
5
of 8 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 9 August 2026
Posts held8 (30 June 20269 August 2026)
Views total647
Reactions total98
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 01:15 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
7s
Average length
7s

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

160 reactions across 8 posts, in 23 distinct kinds. The most used accounts for 18.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥3018.8%
🔥2716.9%
2012.5%
custom 5188487846968732572106.25%
😍106.25%
custom 521107717162743730085.00%
custom 532604495069604213785.00%
👏85.00%
custom 522456033239501062453.13%
custom 524920781826688799153.13%
custom 535741543048073512653.13%
custom 520410059425554584042.50%
custom 519320894373995659431.88%
🙏31.88%
custom 519283677193885783821.25%
custom 528074031710287468421.25%
custom 590647430002560619921.25%
🎉21.25%
🤩21.25%
custom 526928485334544982610.625%
3 further kinds31.88%

Custom emoji. 12 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 areTelegram’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 8 of the 8 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 160reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 30 June 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.

Recent posts

9 Aug 2026, 17:05 UTC22 views15 reactionsread 11 August 2026
Photo

Драгоценности :D

custom 51884878469687325726custom 52492078182668879913custom 52110771716274373002custom 53574154304807351262custom 53368994497445344681custom 57670512692313505951

9 Aug 2026, 14:08 UTC24 views15 reactionsread 11 August 2026
Photo

Так хорошо и радостно на даче. Сплю в спальнике на раскладушке в саду, загораю, рисую даже. Здорово, что получилось ухватить лето практически за хвост и провести время за городом. Ночью такая тишина, что упавшая в саду слива кажется раскатистым грохотом, а ещё периодически слышны бархатистые загадочные звуки, с которыми крылья ночных птиц рассекают темноту. Такая красота

custom 52110771716274373006custom 51884878469687325724custom 52041005942555458402custom 52492078182668879912custom 53574154304807351261

6 Aug 2026, 20:58 UTC58 views18 reactionsread 11 August 2026
Photo

Гля, какую красоту для меня нанейротворил @lutin_the_psychomancer на основе моей иллюстрации для обложки его книги 🖤

🔥7custom 52245603323950106245custom 59064743000256061992❤‍🔥1👍1custom 52041005942555458401custom 53574154304807351261

6 Aug 2026, 20:42 UTC38 views24 reactionsread 11 August 2026
Photo

Почти подошёл к концу мой день. Мои дорогие любимые друзья, спасибо вам, что вы есть в моей жизни. Я сегодня услышала СТОЛЬКО совершенно невероятных, трогающих душу слов в свой адрес, что мне даже невозможно было поверить, что эта волшебная неземная Настя со мной сейчас в одной комнате :D :D Я всегда считала и считаю, что самое бесценное сокровище, что есть у меня - это люди, которые меня окружают, и то, что нас св

❤‍🔥9🔥5👏3🎉2🤩21custom 52041005942555458401custom 53574154304807351261

22 Jul 2026, 15:12 UTC505 views26 reactionsread 11 August 2026
Photo

Зарисовка по мотивам того, как мы с Наташкой бродили по парку, она рассказывала мне интересные штуки про эффект Френеля, и мы смотрели, как это работает в жизни на поверхности вечернего пруда под последние закатные лучи 💖🪟

🔥13❤‍🔥5custom 53260449506960421375custom 51932089437399565942custom 52807403171028746841

8 Jul 2026, 21:28 UTC147 views14 reactionsread 11 August 2026
Video

Лиминальность поездов - уже не здесь, ещё не там, потерянный для рутины стоишь в узком коридоре вагона у окна и одновременно рассеян облаком вероятности по всей траектории пути. Мимо проносятся просторы, туманы, закаты, холмы и предгорья, населённые пункты в вечерних огоньках. Их нельзя удержать, рассмотреть, можно только наблюдать, как лишь на миг они возникают перед глазами и ускользают в небытие, слипаются в памя

❤‍🔥43🔥2😍2custom 51932089437399565941custom 52692848533454498261custom 53260449506960421371

6 Jul 2026, 19:42 UTC106 views30 reactionsread 11 August 2026
Photo

Немного о том, какой был трёхдневный сплав по реке Пра. В общей сложности за три дня мы прогребли шестьдесят километров, отдали литры крови комарам, бегали кругами по лесу с воздетыми к небесам руками в надежде поймать отголоски сотовой связи и отправить домой смску, что живы, словом, шикарно провели время :D Я с собой свозила мелкий этюдник теста ради, и мне даже хватило силы воли и просто силы написать махонький э

11❤‍🔥9👏5🙏3custom 52807403171028746841custom 53260449506960421371

30 Jun 2026, 20:39 UTC106 views18 reactionsread 11 August 2026
Photo

Поездатое

😍85❤‍🔥2custom 51928367719388578382custom 53260449506960421371

Showing the 8 most recent of 8 posts we hold for @fox_fires. 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 — 186,292 of 1,563,849entries 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.

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

“Лисьи Огни” (@fox_fires), 34 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/fox_fires.

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.