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Channel

茶颜【悦色】|包养选妃资源发布②

@cyysxf8

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

499subscribers

+2 since we began measuring on 7 September 2026

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

Register entry

Telegram ID-1002041483774
TypeChannel
Username@cyysxf8
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live18 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/cyysxf8

Growth

4974994987 September 2026 — 497 subscribers7 September 2026 — 497 subscribers18 September 2026 — 499 subscribers7 September 202618 September 2026
3 measurements spanning 11 days, net +2. 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 497–499 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 13:38499+2
7 Sept 2026, 15:23497no change
7 Sept 2026, 06:47497first reading

Engagement

4 posts held, back to 7 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
0.2%
avg views ÷ 499 subscribers
Avg views / post
1.0
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 7 September 2026
Posts held4 (7 September 2026 – 7 September 2026)
Views total4
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 15:23 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
8s
Average length
8s

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.

Recent posts

7 Sept 2026, 15:21 UTC1 viewsread 7 September 2026
Photo

🔰编号:LA6793(点击编号自动复制) 🍁一键查询验证视频🍁 城市: 四川 成都 年龄:19 身高:171 体重‍: 105 罩杯:c 职‍业: 雪 能否飞外地: 可 能否CG:不可 港澳通行证:有 能否过夜/同居:可/不可 能否口:可 体检试纸后无T:不 能否内射:不可 是否M属性:轻微 期望生活费: 10000 每月陪伴天数:2 自我加分项:腿长🐻大屁股翘身材比例好 私生活干净 空乘雪生 介绍费:7888 🎗主动私聊者多数骗子注意勿上当⚠️ 🎗会员免费观看mm验证视频 🎗老板交流群🎗VIP会员权益 🎗成交反馈🎗下单流程与地区资源 🧚‍♀️茶颜【悦色】客服: @cyysekefu_bot

7 Sept 2026, 15:21 UTC1 viewsread 7 September 2026
Photo

🔰编号:LP0585(点击编号自动复制) 🍁一键查询验证视频🍁 省份:浙江 城市:杭州 年龄:20 身︇高:172­͏͏ 体重︁:92​‌​⁠­ 罩杯:B‌⁠⁠ 职︄业:⁠‍­ 是否️chu女️:否​‍͏ 可不︌可以︈口︊:可︎以︌­‍͏ 能︇不︅能︀内︇S:不⁠­⁠⁠‍ 能不️能︃无T:不⁠͏͏ 能︍否︇接受︊SM:͏‍‍͏ 有︉没︇有︊纹身:没有͏­⁠­ 是否可︌外省:可以︋‌‍​͏ 是否︃可︁过夜︊:可︁以​‍​⁠ 可︃不︄可︉以同居︍:‌​‌­ 月可️陪︎伴天数:3​​͏ 大概︉姨︊妈日︆期︁:24号︎⁠­͏⁠͏ 月生︌活费多︄少︃:1.8⁠⁠‍⁠ 分几︇次给︉生︆活费︉:2‍‌‌​ 自我介︎绍︃加分项︄:纯天︉然无︃整形︁ 性格温柔,有民︉舞和芭蕾︉基础︎͏͏͏‍ 对︄老板︇雷点(不︁接受):​͏​​‌ 介绍费:7888 🎗主动私聊者多数骗子注意勿上当⚠️ 🎗会员免费观看mm验证视频 🎗老板交流群🎗VIP会员权益 🎗成…

7 Sept 2026, 15:19 UTC1 viewsread 7 September 2026
Photo

🔰编号:PM7529(点击编号自动复制) 🍁一键查询验证视频🍁 省份:江苏 城市:苏州 年龄:20 身高:176 体重:107 罩杯:C 职业:雪生 是否chu: 否 能否SM:轻微 能否口:可以 测试后能否无套:➕💰 能否过夜:可以 能否同居:可以 有没有纹身:无 能否飞外省:可以 能否出村:看地方 雷点(不接受) :无 大姨妈日期:27号 每月陪伴天数:3天 期望的零花钱:15000 分几次支付零花钱:2次 最早出发时间:提前说 自我加分项: 温柔听话 活泼可爱 唱歌好听 气氛好 可御可甜 介绍费:6888 🎗主动私聊者多数骗子注意勿上当⚠️ 🎗会员免费观看mm验证视频 🎗老板交流群🎗VIP会员权益 🎗成交反馈🎗下单流程与地区资源 🧚‍♀️茶颜【悦色】客服: @cyysekefu_bot

7 Sept 2026, 15:18 UTC1 viewsread 7 September 2026
Photo

🔰编号:XN4700(点击编号自动复制) 🍁一键查询验证视频🍁 省份:上海 城市:市区 年龄:21 身高:166 体重:99 罩杯:D 职业:雪生 是否chu: 否 能否SM:轻微 能否口:可以 测试后能否无套:➕💰 能否过夜:可以 能否同居:可以 有没有纹身:无 能否飞外省:可以 能否出村:看地方 雷点(不接受) :无 大姨妈日期:21号 每月陪伴天数:3天 期望的零花钱:18000 分几次支付零花钱:2次 最早出发时间:提前说 自我加分项: 白虎, 情绪价值高 女友感十足 待人热忱开朗,乐于沟通交流。日常喜欢尝试各类运动,滑雪、羽毛球、和普拉提都有所涉猎,始终以松弛豁达的状态对待生 介绍费:6888 🎗主动私聊者多数骗子注意勿上当⚠️ 🎗会员免费观看mm验证视频 🎗老板交流群🎗VIP会员权益 🎗成交反馈🎗下单流程与地区资源 🧚‍♀️茶颜【悦色】客服: @cyysekefu_bot

Showing the 4 most recent of 4 posts we hold for @cyysxf8. 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 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“茶颜【悦色】|包养选妃资源发布②” (@cyysxf8), 499 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/cyysxf8.

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.