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Channel

野寻.武汉包养档案

@chasewh_byda

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

3,099subscribers

+0 since we began measuring on 8 October 2026

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

Register entry

Telegram ID-1003961600555
TypeChannel
Username@chasewh_byda
Description👤 唯一管理:@chase_xh_bot 📝 作业投稿: @chasehwxc_bot ——————————— 💗野寻 • 榜单结构: https://t.me/wh_xxoo/10
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 October 2026
Last confirmed live8 October 2026
Measurements held2
On Telegramt.me/chasewh_byda

Growth

3,0998 Oct 2026, 13:47 — 3,099 subscribers8 Oct 2026, 14:22 — 3,099 subscribers8 Oct 2026, 13:478 Oct 2026, 14:22
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 3,096–3,102 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Oct 2026, 14:223,099no change
8 Oct 2026, 13:473,099first reading

Engagement

4 posts held, back to 8 October 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
0.177%
avg views ÷ 3,099 subscribers
Avg views / post
5.5
4 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
4
of 4 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 October 2026
Posts held4 (8 October 2026 – 8 October 2026)
Views total22
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 14:22 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

Photos
29
Videos
3

Lifetime counters from Telegram’s own channel header, read 8 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
27s
Average length
9s

Measured directly from 3 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

8 Oct 2026, 12:47 UTC6 viewsread 8 October 2026
Photo

昵称:06 省份:湖北 城市:武汉 年龄:20 身高:162 体重:98 罩杯:B+ 学历:本科 职业:雪生 是否是处女:否 可不可以口:可 能不能内射:否 能不能无套:➕💰可 SM能不能:轻微可 有没有纹身:无 是否可外省:可 是否可过夜:可 月可陪伴天数:3天 大概姨妈日期:不定期 找金主的原因:缺米 月生活费多少:1.6w 分几次给生活费:2次 自我介绍加分项:白瘦幼体质 性格乖巧 反差大 对老板雷点(不接受): 介绍费:3000

8 Oct 2026, 12:46 UTC5 viewsread 8 October 2026
Photo

昵称:05 省份:湖北 城市:武汉 年龄:18 身高:172 体重:49kg 罩杯:B 职业:雪生 是否chu:否 能否口:能 能否SM:能 能否无套(体检/试纸后):能(加钱) 能否内射:能(加钱) 能否过夜:能 能否同居:否 有没有纹身:没有 可否飞外省:可 亲戚日期:25号 每月陪伴天数(满/多少天):1/2 期望零花钱:7000/12000 零花钱分几次:1/2 找金主的原因:缺钱 最早出发时间:提前说 期待他是怎样的人:温柔体贴,性格大方 自我介绍加分项:皮肤白皙,三点粉,不抽烟,情绪价值高,小麦当劳,性格好情商高相处有恋爱感有反差,身材高挑,腿长腰细,声音温柔,叫床好听,情趣内衣都可以配合,懂礼仪有谈吐,可以陪你去应酬 介绍费:3000

8 Oct 2026, 12:45 UTC5 viewsread 8 October 2026
Photo

昵称:04 省份;湖北 城市;武汉 年龄:21 身高:165 体重:105 🐻杯:c 职业:自由 能否飞外地:可以 能否过夜/同居:过夜 是否抽烟/纹身:不 能否kou:能 能否体检后不d/🐍: 可不带 内看情况 预期费用:1.2w 每🈷️可陪天数:3天1.2w 能否接受sm :能 是否chu女: 否 可分几次付: 2 姨妈时间:月底 是否可去港澳;可 自我加分项:胸大 屁股翘 一模秒出水 紧 雷点(不接受):不尊重 介绍费:3000

8 Oct 2026, 12:42 UTC6 viewsread 8 October 2026
Photo

♥️ CHASE | ♡ WUHAN 昵称:03 省份;湖北 城市;武汉 年龄:21 身高:163 体重:50kg 🐻杯:C 职业:销售 能否飞外地:能 能否过夜/同居:可以过夜 是否抽烟/纹身:是 能否kou:能 能否体检后不d/🐍: 可不带 内看情况 预期费用:1.5w 每🈷️可陪天数:3天1.5w 能否接受sm :轻轻可谈 是否chu女: 否 可分几次付:2 姨妈时间:月初 是否可去港澳;否 自我加分项:健身 情绪价值足 活泼 雷点(不接受): 重口 介绍费:3000

Showing the 4 most recent of 4 posts we hold for @chasewh_byda. 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.

Mentions

Named by 4 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.

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

“野寻.武汉包养档案” (@chasewh_byda), 3,099 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/chasewh_byda.

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.