Channel
@cangbaoyang
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
389subscribers
-5 since we began measuring on 15 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003649801613 |
|---|---|
| Type | Channel |
| Username | @cangbaoyang |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 September 2026 |
| Last confirmed live | 1 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 1 October 2026 |
| On Telegram | t.me/cangbaoyang |
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 1 October 2026 and assigned it the closest of 31 fixed categories, at 56% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Oct 2026, 02:41 | 389 | -3 |
| 16 Sept 2026, 19:00 | 392 | -2 |
| 15 Sept 2026, 04:22 | 394 | no change |
| 15 Sept 2026, 03:47 | 394 | first reading |
4 posts held, back to 15 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 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.
| Window | Rolling 30 days · latest post in window 15 September 2026 |
|---|---|
| Posts held | 4 (15 September 2026 – 15 September 2026) |
| Views total | 4 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Sept 2026, 04:22 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.
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.
🪽 点击查询视频 xxy8590 省份:广东 城市:广州 年龄:25 身高:156 体重:80斤 罩杯:c 学历:本科 职业:电商带货 是否是处女：否 可不可以口:可以 能不能内射:不 能不能无套:体检后可 SM能不能:能 有没有纹身:没有 是否可外省:可 是否可过夜:可 可不可以同居:可 月可陪伴天数:3天 大概姨妈日期:9号 找金主的原因:美女开销大 月生活费多少:1.5w 分几次给生活费:1-3次 自我介绍加分项:御姐风，日常穿高跟鞋。反差，外表高冷但喜欢撒娇，包骚的 🉑无套 🉑内S 对老板雷点(不接受):墨迹，重度s 介绍费：7888 xxy C2 编号: 2026091501069 联系客服 全国外围 双向限制 活动期间特价选妃门槛20U起 入会后福利多活动多选择多多 …
🪽 点击查询视频 七七8593 省份:江西 城市:南昌 年龄:19 身高:166 体重:108 罩杯:D 职业:无 是否是chu女：否 可不可以口:没问题 能不能内s:❌ 能不能无套:否 SM能不能:❌ 有没有纹身:无 是否可外省：对 是否可过夜:没问题 可不可以同居:对 月可陪伴天数:30天 大概姨妈日期:13-18号 找金主的原因:缺钱 月生活费多少:3天6k 分几次给生活费:2-3 自我介绍加分项:熊大 性格好 对老板雷点(拒绝):暴力重口 最快什么时候出发：提前说 七七k 介绍费:7888 编号: 2026091501068 联系客服 全国外围 双向限制 活动期间特价选妃门槛20U起 入会后福利多活动多选择多多 全网可上压可担保 保质保量 售后无忧👉👉👉
🪽 点击查询视频 朴︃朴︍H06074͏ 省份: 辽宁 城市：沈阳 年︄龄︋：18 身︅高︋：161͏ 体︇重︁：88 罩︈杯︎：b 是︈否︃chu:不︎能 职︌业︂：雪生 学︌历：糕︁中͏ 体︁检后︊能否︅无︌t：不︎͏ 能︃否︍nei射︈：不͏ 能︌否口：可︁ SM能︅不︂能︁:能︋͏͏ 能︀否︁同居︎：是︁͏ 能︉否︎过夜︊：是͏͏ 能否︆✈️其︌他︃省︂份：能︇够︈͏ 例︁假️日︉期︍：不︅固︋定️ 有没︌有︋纹︊身：无͏͏ 是︃否︀抽烟︈🚬:不︉ 最早︇出︈发︌时︆间︍：提️前︉沟️通︄ 每︍月︋陪️伴︋天︄数：2-3天︅͏͏ 每︇月︇到手︇: 4k-6k 个人优︍点︁:声︎音︊好听︂，会︌唱歌︇,身️材︇好︊,可︌口,可︊SM,玩得︈开︊。配合︀度︄高︌。性︁价比︆之选︈。床︋上主︀…
🪽 点击查询视频 编号UR5627 省份:重庆 城市:壁山 年龄:21 身高:168 体重:118 罩杯:B 雪历:雪生 职业:目前无 是否是chu女:否 可不可以口:否 能不能内射；可 能不能无套:可 能不能SM:否 能不能外省:否 有没有纹身:有 是否可以过夜:可 可不可以同居:可 月可陪伴天数:7 大概姨妈日期:月中 找金主的原因:没钱 月生活费多少:1w 分几次给生活费:两次 自我介绍加分项:能喝酒 对老板雷点:不要太变态 介绍费:7888🐱cz 编号: 2026091501066 联系客服 全国外围 双向限制 活动期间特价选妃门槛20U起 入会后福利多活动多选择多多 全网可上压可担保 保质保量 售后无忧👉👉👉
Showing the 4 most recent of 4 posts we hold for @cangbaoyang. 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.
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 1 October 2026 — this entry's latest reading, not the date you are reading this.
“苍老师 全国 包养 伴游” (@cangbaoyang), 389 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/cangbaoyang.
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.