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Channel

🦋足间诱惑 | 极品丝足美脚集散地

@xia_zu

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

30,947subscribers

+2,767 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001545952213
TypeChannel
Username@xia_zu
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 October 2026
Measurements held47
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/xia_zu

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.

Growth

28,18030,94729,563.57 August 2026 — 28,180 subscribers7 August 2026 — 28,180 subscribers8 August 2026 — 28,202 subscribers9 August 2026 — 28,232 subscribers10 August 2026 — 28,241 subscribers11 August 2026 — 28,251 subscribers12 August 2026 — 28,264 subscribers13 August 2026 — 28,276 subscribers14 August 2026 — 28,328 subscribers16 August 2026 — 28,357 subscribers17 August 2026 — 28,386 subscribers18 August 2026 — 28,406 subscribers19 August 2026 — 28,409 subscribers20 August 2026 — 28,451 subscribers21 August 2026 — 28,513 subscribers23 August 2026 — 28,537 subscribers24 August 2026 — 28,568 subscribers25 August 2026 — 28,581 subscribers26 August 2026 — 28,592 subscribers27 August 2026 — 28,628 subscribers28 August 2026 — 28,657 subscribers29 August 2026 — 28,680 subscribers30 August 2026 — 28,714 subscribers31 August 2026 — 28,737 subscribers1 September 2026 — 28,749 subscribers2 September 2026 — 28,777 subscribers4 September 2026 — 28,804 subscribers6 September 2026 — 28,854 subscribers10 September 2026 — 28,910 subscribers12 September 2026 — 28,995 subscribers14 September 2026 — 29,063 subscribers15 September 2026 — 29,135 subscribers17 September 2026 — 29,197 subscribers28 September 2026 — 29,803 subscribers5 October 2026 — 30,165 subscribers9 October 2026 — 30,369 subscribers13 October 2026 — 30,550 subscribers14 October 2026 — 30,604 subscribers15 October 2026 — 30,633 subscribers17 October 2026 — 30,684 subscribers18 October 2026 — 30,722 subscribers18 October 2026 — 30,757 subscribers19 October 2026 — 30,794 subscribers20 October 2026 — 30,829 subscribers21 October 2026 — 30,856 subscribers23 October 2026 — 30,897 subscribers24 October 2026 — 30,947 subscribers7 August 202624 October 2026
47 measurements spanning 77 days, net +2,767. 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 27,765–31,362 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
24 Oct 2026, 03:3730,947+50
23 Oct 2026, 03:1730,897+41
21 Oct 2026, 23:5530,856+27
20 Oct 2026, 21:1830,829+35
19 Oct 2026, 22:3130,794+37
18 Oct 2026, 23:1630,757+35
18 Oct 2026, 02:2730,722+38
17 Oct 2026, 01:5030,684+51
15 Oct 2026, 23:0730,633+29
14 Oct 2026, 20:5630,604+54
13 Oct 2026, 14:0130,550+181
9 Oct 2026, 12:0030,369+204
5 Oct 2026, 06:2230,165+362
28 Sept 2026, 17:1829,803+606
17 Sept 2026, 18:0229,197+62
15 Sept 2026, 16:3629,135+72
14 Sept 2026, 02:1629,063+68
12 Sept 2026, 08:1728,995+85
10 Sept 2026, 01:5728,910+56
6 Sept 2026, 16:2028,854first reading

Engagement

566 posts held, back to 6 August 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.49%
avg views ÷ 30,947 subscribers
Avg views / post
769
262 posts measured
Reaction rate
0.159%
reactions ÷ views · ER floor
Posts in window
262
of 566 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 139 of 262 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 23 October 2026
Posts held566 (6 August 2026 – 23 October 2026)
Views total201,522
Reactions total193
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 18:42 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
10h 42m
Average length
2m 15s

Measured directly from 285 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

349 reactions across 233 posts, in 11 distinct kinds. The most used accounts for 63.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍22263.6%
❤10830.9%
🥰51.43%
👎30.86%
🔥30.86%
🖕20.573%
🤔20.573%
😍10.287%
😢10.287%
😱10.287%
🤬10.287%

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 248 of the 566 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 349 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 566 most recent posts we hold, published 6 August 2026 to 23 October 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

23 Oct 2026, 17:29 UTC67 views1 reactionsread 23 October 2026

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23 Oct 2026, 13:54 UTC210 views1 reactionsread 23 October 2026
Forwarded from @Xia_guangPhoto

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23 Oct 2026, 13:53 UTC155 viewsread 23 October 2026
Video

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23 Oct 2026, 13:53 UTC160 viewsread 23 October 2026
Video

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23 Oct 2026, 13:53 UTC161 views1 reactionsread 23 October 2026
Video

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23 Oct 2026, 13:53 UTC156 views1 reactionsread 23 October 2026
Video

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23 Oct 2026, 13:53 UTC155 views1 reactionsread 23 October 2026
Forwarded from @Xia_guangPhoto

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👍1

23 Oct 2026, 13:53 UTC165 views1 reactionsread 23 October 2026
Forwarded from @Xia_guangVideo

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👍1

23 Oct 2026, 13:52 UTC210 views1 reactionsread 23 October 2026
Photo

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👍1

23 Oct 2026, 13:27 UTC332 views2 reactionsread 23 October 2026
Video

#imzsock #脚模系列 #裸足 #单人 #棉袜

👍2

23 Oct 2026, 13:27 UTC301 views3 reactionsread 23 October 2026
Video

#双女主 #纯舔脚 欧美 女调女 白丝 插 女奴

👍2❤1

Showing the 12 most recent of 566 posts we hold for @xia_zu. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 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 24 October 2026 — this entry's latest reading, not the date you are reading this.

“🦋足间诱惑 | 极品丝足美脚集散地” (@xia_zu), 30,947 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/xia_zu.

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.