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Channel

⋆. ⲏⲁ ⲡⲁⲣⲉ ⲥ ⲧⲁⲏⲉύ ˚⋆

@canary_figure1

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

174subscribers

-1 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-1002236794481
TypeChannel
Username@canary_figure1
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/canary_figure1

Growth

174175174.57 August 2026 — 175 subscribers8 August 2026 — 175 subscribers15 August 2026 — 174 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -1. 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 174–175 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 06:39174-1
8 Aug 2026, 14:02175no change
7 Aug 2026, 18:18175first reading

Engagement

10 posts held, back to 24 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
89.2%
avg views ÷ 174 subscribers
Avg views / post
155
7 posts measured
Reaction rate
9.30%
reactions ÷ views · ER floor
Posts in window
7
of 10 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 August 2026
Posts held10 (24 June 20268 August 2026)
Views total1,086
Reactions total101
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 14:02 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
2m 22s
Average length
18s

Measured directly from 8 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

166 reactions across 10 posts, in 35 distinct kinds. The most used accounts for 15.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💘2615.7%
custom 5411577910135920644116.63%
106.02%
custom 519514050220211142095.42%
custom 546788612968235138184.82%
custom 520634652284893133974.22%
custom 533934087665932539474.22%
🆒74.22%
custom 519508520020320856763.61%
custom 520850190494178763263.61%
custom 527625793890891553063.61%
custom 538866125742961901463.61%
custom 545413761724530670963.61%
custom 595386216885099604863.61%
custom 525621541389260782053.01%
custom 536611746371916967653.01%
custom 528099364715890559442.41%
custom 595198476133650290842.41%
custom 524037790667220228631.81%
custom 526264966574404137531.81%
15 further kinds2112.7%

Custom emoji. 17 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 10 of the 10 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 166reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 24 June 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, 12:00 UTC48 views5 reactionsread 8 August 2026
Video

Я думаю, для первого раза неплохо🤗 scp: nastia fs scenes જ⁀➴ #edit #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

3💘1🆒1

7 Aug 2026, 19:24 UTC105 views12 reactionsread 8 August 2026
Video

Mulan🤩 scp: nastia fs scenes જ⁀➴ #edit #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

💘73🆒2

4 Aug 2026, 09:23 UTC175 views19 reactionsread 8 August 2026
Video

SWITCH🌟🔥 scp: nastia fs scenes જ⁀➴ #edit #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

💘7custom 536611746371916967654custom 53662984364611566661custom 53665387441763329521custom 53688287992637241531

2 Aug 2026, 07:09 UTC185 views13 reactionsread 8 August 2026
Video

PA–PA PARAZZI🌟💜 scp: nastia fs scenes જ⁀➴ #edit #KamilaValieva . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

custom 53393408766593253947custom 53390596937403897233custom 53392635500681252472custom 53390566013639363141

1 Aug 2026, 16:22 UTC177 views15 reactionsread 8 August 2026
Video

Beautiful Sasha💚👍 scp: nastia fs scenes જ⁀➴ #edit #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

custom 54678861296823513816custom 52562154138926078204custom 52626496657440413753custom 52403779066722022862

31 Jul 2026, 09:34 UTC210 views22 reactionsread 8 August 2026
Video

PA–PA PAPARAZZI🫶🤍 scp: nastia fs scenes જ⁀➴ #edit #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

💘7custom 54541376172453067096🆒4custom 54678861296823513812custom 52403362841441361121custom 52403779066722022861custom 52562154138926078201

26 Jul 2026, 08:04 UTC186 views15 reactionsread 8 August 2026
Video

Ready or not Yeah, we don't give a what ... Let's go 🥇 id: my scp: nastia fs scenes જ⁀➴ #edit #AnnaShcherbakova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

custom 52762579389089155306💘4custom 52760964782033583242custom 52765106418997090042custom 52828350499625478171

7 Jul 2026, 12:11 UTC211 views22 reactionsread 8 August 2026
Photo

Sweet 19💋🤩 જ⁀➴ #color #SofyaAkatyeva . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

custom 541157791013592064411custom 53886612574296190146custom 52809936471589055944custom 52804850070669519631

2 Jul 2026, 09:27 UTC369 views25 reactionsread 8 August 2026
Video

SIX SEVEN😱🤙 id (in general): itskarssumii (tt) id (in fs): my scp: nastia fs scenes જ⁀➴ #edit #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

custom 52063465228489313397custom 52085019049417876326custom 59538621688509960486custom 59519847613365029084custom 59515247832240032911custom 59517272136225984961

24 Jun 2026, 14:34 UTC339 views18 reactionsread 8 August 2026
Photo

«Она повзрослела, это не та маленькая Саша, это взрослая девушка. Это Испания в образе, хореография, страсть, переживания, художественная составляющая с рисованием, измена. И эти все чувства она, мне кажется, здорово передаёт. Для неё это прям прорыв» (Даниил Глейхенгауз) જ⁀➴ #aesthetic #AlexandraTrusova . . . . . . . . . .╰──╮ ˖ ݁𖥔.☁︎.𖥔 ݁ ˖ @canary_figure1 𝜗𝜚˚⋆

custom 51951405022021114209custom 51950852002032085676custom 51953405403039211482custom 51949578630128136211

Showing the 10 most recent of 10 posts we hold for @canary_figure1. 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 — 1,198,365 of 1,550,164entries 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.

Mentions

Named by 1 registered channel — 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“⋆. ⲏⲁ ⲡⲁⲣⲉ ⲥ ⲧⲁⲏⲉύ ˚⋆” (@canary_figure1), 174 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/canary_figure1.

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.