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Channel

泉州【万金】

@xianyao78

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

48subscribers

-1 since we began measuring on 27 September 2026

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

Register entry

Telegram ID-1003885932020
TypeChannel
Username@xianyao78
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 September 2026
Last confirmed live4 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/xianyao78

Growth

484948.527 September 2026 — 49 subscribers27 September 2026 — 49 subscribers4 October 2026 — 48 subscribers27 September 20264 October 2026
3 measurements spanning 7 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 48–49 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 14:0048-1
27 Sept 2026, 07:2249no change
27 Sept 2026, 06:4949first reading

Engagement

5 posts held, back to 23 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
89.6%
avg views ÷ 48 subscribers
Avg views / post
43.0
5 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
5
of 5 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 27 September 2026
Posts held5 (23 September 2026 – 27 September 2026)
Views total215
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 07:22 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
46s
Average length
9s

Measured directly from 5 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.

Recent posts

27 Sept 2026, 00:36 UTC4 viewsread 27 September 2026
Photo

9.27泉州万达 #娇娇🌟 口爆 毒龙 69 162cm 46kg 🐻36C 服务:鸳鸯共浴🛀🏻 莞式AB面 高跟丝袜.舔胸.舔🥚 🈚️🍑吹 口爆 胸推 臀推 指滑 调情任君解锁🔒 情趣制服 服务绝对到位 一👏🏻45分钟👉🏾两🙌🏻90分钟 课费: p9 pp16 V I P: p8 pp15 (支持扫码、现金、USDT💰) 联系客服 @chalouwj 双向联系 @fujianchalou_bot

27 Sept 2026, 00:34 UTC4 viewsread 27 September 2026
Photo

9.27南安新车 #56号🌟 口爆 毒龙 163cm 45kg 🐻36C 服务:鸳鸯共浴🛀🏻 莞式AB面 高跟丝袜.舔胸.舔🥚 🈚️🍑吹 口爆 胸推 臀推 指滑 调情任君解锁🔒 情趣制服 服务绝对到位 一👏🏻45分钟👉🏾两🙌🏻90分钟 课费: p9 pp16 V I P: p8 pp15 (支持扫码、现金、USDT💰) 联系客服 @chalouwj 双向联系 @fujianchalou_bot

24 Sept 2026, 11:52 UTC43 viewsread 27 September 2026
Photo

9.23号 #晋江机场 🌟03年 #蓝莓 💐【视频本人】 164cm 47kg 🐻B+ 服务:鸳鸯共浴🛀情趣制服 高跟 丝袜 🈚️🍑吹 舔胸 舔🥚 胸推 👏 激情啪啪 福利优惠:p7 pp14 💦可外出 💦 (支持扫码、现金、USDT💰) 联系客服 @chalouwj 双向联系 @fujianchalou_bot

23 Sept 2026, 20:06 UTC68 viewsread 27 September 2026
Photo

9.24晋江新车🚗02广西舌妹 艺名:#南湘🌟69 舌吻💋口爆 163cm 43kg 🐻B+ 24 🉑外出 服务:帮洗 帮擦🛀情趣制服 高跟丝袜 🈚️🍑吹箫 舔胸 舔🥚 舌吻💋 69 口爆 激情啪啪 一👏🏻 45分钟👉🏾 两🙌🏻 90分钟 统一课费:P8 PP15 (支持扫码、现金、USDT💰) 联系客服 @chalouwj 双向联系 @fujianchalou_bot

23 Sept 2026, 00:21 UTC96 viewsread 27 September 2026
Photo

9.23新车🚗175宝马车模下海 艺名:#美娜🌟69 口爆 毒龙 艳舞 175cm 52kg 🐻天然D 00年 🈚️纹身 🈚️疤痕 长沙人 🐳会潮喷 服务:鸳鸯共浴🛀情趣制服 高跟 丝袜 🪩艳舞 🈚️🍑吹箫 舔胸 舔🥚 69 互舔 胸推 臀推 指滑 漫游 毒龙 轻度SM 激情啪啪 一👏🏻 45分钟👉🏾 两🙌🏻 90分钟 课费: p10 pp18 🌟潮喷+3🌟 V I P: p9 pp17 (支持扫码、现金、USDT💰) 联系客服 @chalouwj 双向联系 @fujianchalou_bot

Showing the 5 most recent of 5 posts we hold for @xianyao78. 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.

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

“泉州【万金】” (@xianyao78), 48 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/xianyao78.

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.