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Channel

杭州爆破(出击记录仪)

@BaopoCM

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

27,523subscribers

+8,880 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1003599819726
TypeChannel
Username@BaopoCM
Description频道 https://t.me/BaopoCM 不狗推不诽谤 实事求是文笔赞! 杭州爆破严选群:https://t.me/BPYXQ
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live25 October 2026
Measurements held43
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/BaopoCM

Topic

Other / unclassifiable — 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 65% 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

18,64327,52323,08312 August 2026 — 18,643 subscribers12 August 2026 — 18,643 subscribers13 August 2026 — 18,756 subscribers14 August 2026 — 18,861 subscribers15 August 2026 — 19,022 subscribers17 August 2026 — 19,112 subscribers18 August 2026 — 19,293 subscribers19 August 2026 — 19,413 subscribers20 August 2026 — 19,707 subscribers21 August 2026 — 19,692 subscribers22 August 2026 — 20,083 subscribers24 August 2026 — 20,744 subscribers25 August 2026 — 21,225 subscribers26 August 2026 — 22,270 subscribers27 August 2026 — 22,809 subscribers28 August 2026 — 22,941 subscribers29 August 2026 — 22,860 subscribers30 August 2026 — 22,805 subscribers31 August 2026 — 22,535 subscribers1 September 2026 — 22,531 subscribers2 September 2026 — 22,438 subscribers4 September 2026 — 22,631 subscribers6 September 2026 — 23,055 subscribers10 September 2026 — 23,908 subscribers12 September 2026 — 24,290 subscribers14 September 2026 — 24,394 subscribers15 September 2026 — 24,504 subscribers18 September 2026 — 24,538 subscribers28 September 2026 — 25,893 subscribers5 October 2026 — 27,348 subscribers9 October 2026 — 27,212 subscribers13 October 2026 — 27,281 subscribers14 October 2026 — 27,277 subscribers15 October 2026 — 27,283 subscribers16 October 2026 — 27,304 subscribers17 October 2026 — 27,319 subscribers19 October 2026 — 27,345 subscribers20 October 2026 — 27,352 subscribers21 October 2026 — 27,445 subscribers22 October 2026 — 27,491 subscribers23 October 2026 — 27,498 subscribers24 October 2026 — 27,495 subscribers25 October 2026 — 27,523 subscribers12 August 202625 October 2026
43 measurements spanning 74 days, net +8,880. 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 17,311–28,855 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)SubscribersChange
25 Oct 2026, 16:0927,523+28
24 Oct 2026, 15:2027,495-3
23 Oct 2026, 17:1527,498+7
22 Oct 2026, 16:2127,491+46
21 Oct 2026, 07:4927,445+93
20 Oct 2026, 03:5027,352+7
19 Oct 2026, 01:2727,345+26
17 Oct 2026, 22:0627,319+15
16 Oct 2026, 22:5027,304+21
15 Oct 2026, 21:5527,283+6
14 Oct 2026, 20:1827,277-4
13 Oct 2026, 11:3927,281+69
9 Oct 2026, 13:3527,212-136
5 Oct 2026, 07:2127,348+1,455
28 Sept 2026, 21:1925,893+1,355
18 Sept 2026, 00:1924,538+34
15 Sept 2026, 21:5624,504+110
14 Sept 2026, 02:3924,394+104
12 Sept 2026, 09:1524,290+382
10 Sept 2026, 05:1723,908first reading

Engagement

51 posts held, back to 2 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 102 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 27,523 subscribers
Avg views / post
3,750
23 posts measured
Reaction rate
0.104%
reactions ÷ views · ER floor
Posts in window
23
of 51 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 20 of 23 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 25 October 2026
Posts held51 (2 August 2026 – 25 October 2026)
Views total86,220
Reactions total80
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 20:45 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
396
Videos
199
Links
193

Lifetime counters from Telegram’s own channel header, read 25 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
4m 04s
Average length
10s

Measured directly from 25 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

173 reactions across 38 posts, in 8 distinct kinds. The most used accounts for 87.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15287.9%
👍95.20%
🦄52.89%
👏31.73%
🆒10.578%
👎10.578%
😁10.578%
🥰10.578%

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 41 of the 51 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 173 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 2 August 2026 to 25 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

25 Oct 2026, 08:32 UTC≈2,710 views4 reactionsread 25 October 2026
Photo

今日主题:频道第一个10分满分口活诞生了 【No. 148】 【艺名】#+1 【私信】 @jiayibaby 【地点】拱墅 【价格】1300P 【类型】甜妹 【年龄】23 【评价】超级好评 ⬇️ 综合得分:94.5 硬件: 颜值 9分 身材 9分 胸型 9分 户型 9分 水量紧度 9.5分 硬件评分:45.5 软件: 服务态度 10分 服务技巧 10分 屌感 9分 啪啪反馈 10分 突出技巧 10分 软件评分:49 软件硬化工程施工过程: 如果电话能发泄 凌晨的聊天像抱怨, 一会说来一会不来让我接受着骤变, 电话这头我抓耳挠腮只能接受现实, 你说等下次有时间我算不算上当受骗, 我沉默的拿出香烟刁在了嘴上, 想日你的心是由你亲手来点亮! 去年你走的急没能感受你的细私物语, 深夜的电话粥熬的是来杭州的步履, 三天两头的变化让我感觉云里雾里, 宝贝,只要你来我让你荣归故里! 做群主不易,…

❤4

23 Oct 2026, 10:23 UTC≈2,490 views7 reactionsread 25 October 2026
Photo

【No.147 】 【艺名】#洋子 【私信】 @hsyangzi 【地点】萧山 【价格】1300 【类型】OL御姐 【年龄】25左右 【评价】好评 ⬇️ 综合得分:86 硬件: 颜值 8分 身材 8.5分 胸型 8分 户型 8.5分 水量紧度 9分 硬件评分:42 软件: 服务态度 9分 服务技巧 8.5分 屌感 9分 啪啪反馈 9分 突出技巧 8.5分 软件评分:44 软件硬化工程施工过程: 那些旧事一再提, 商K包厢里打太极, 两具身体越靠越近谈笑耍赖皮, 谈笑间跨坐上前回到了酒醉金迷的从前, 只不过没有酒水和烟其他没什么不一样。 硬件软件细分 【课室环境】萧山高档小区,安全性强 【皮肤】暖白,柔软 【陪浴】AB面清洗认真无花活 【舌吻】大蟒蛇管够 【口活】8.5 【胸型】B,乳头乳晕小,颜色常规 【户型】小蝴蝶,阴唇薄,颜色正常,毛量正常 【装备】主导OL御姐风格,多套可选,多丝…

❤6🆒1

21 Oct 2026, 01:31 UTC≈6,800 views8 reactionsread 25 October 2026
Photo

今日主题:这才叫双飞嘛 【No. 146】 【艺名】#精酱姐妹花(双飞专业户) 【私信】 @nvtong1314 【地点】拱墅 【价格】1999P 【类型】顶骚御姐 【年龄】28 33 【评价】超级好评 ⬇️ 综合得分:89.5 90 硬件:(左边姐姐 右边妹妹) 颜值 8分 8.5分 身材 8.5分 8.5分 胸型 9分 8.5分 户型 8.5分 9分 水量紧度 9分 9分 硬件评分:43分 43.5分 软件: 服务态度 10分 10分 服务技巧 9分 9分 屌感 8.5分 9分 啪啪反馈 10分 9分 突出技巧 9 分 9分 软件评分:46.5 46.5 软件硬化工程施工过程: 你还在为双飞中途换套感到苦恼吗?你还在为房飞女女之间没有互动而索然无味吗?骚系御姐双飞代表级组合,进军杭州,励志成为杭城最顶双飞! 硬件软件细分 【课室环境…

❤8

21 Oct 2026, 01:30 UTC≈1,680 views1 reactionsread 25 October 2026
Photo

今日争议点“是被下菜对待”还是被当做“熟成佳人” 评论区里发表 【五刷报告】 【艺名】#安珂 【私信】 @sb2000022 【地点】拱墅 【价格】1200P 【类型】甜妹 【年龄】23左右 软件硬化工程施工过程: 已经完全不把我当客人了,给你们看看成啥样了都! 到小区了直接给密码,这操作也是头一回,进门客厅空无一人,喊了一声在卧室,走进去一看 好嘛!要流鼻血的节奏!穿着居家大T小内内,光着腿趴在床上,手机放着短剧,手里织着毛线玩偶,在做手工!看这半透明的小内内,看着修长笔直的腿!直接就趴了上去!小帐篷在半透明上蹭的有来有回,“宝宝,你先去洗,等我把手里这点弄完”!说完还回头吧唧亲了一嘴儿!此刻就想就地正法咯! 2个想法:1,她不帮我洗了。2,这不就是寻求的非出击感出击么? 进门没有热情迎接,没人递水,没有沙发抱抱,倒反天罡的连共浴都给我取消了?当时自己输进密码,进卧室看到的景象,却有种回家的感觉,我站起身在软软的屁股上来…

❤1

18 Oct 2026, 09:01 UTC≈6,340 views9 reactionsread 25 October 2026
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【No.145 】 【艺名】#甜笑笑 【私信】 @xiaoxiaowoya 【地点】拱墅 【价格】1300P 【类型】颜值御姐 【年龄】24左右 【评价】超级好评 ⬇️ 综合得分:88.5 硬件: 颜值 9分 身材 9分 胸型 8.5分 户型 9.5分 水量紧度 8.5分 硬件评分:44.5 软件: 服务态度 9分 服务技巧 9 分 屌感 9分 啪啪反馈 8.5分 突出技巧 8.5分 软件评分:44 软件硬化工程施工过程: 初次来到杭城跟我是城南到城北的距离, 进门见面第一眼就知道我们还会有续集, 进门破冰的方法抱着亲亲是最好的秘籍, 怼着照片看侧脸毫不忌讳的配合, 1比1的重合度把阈值全数的间隔, 我不是数值怪,但确定是真的爱, 人照无差的结果是能人气升的快! 硬件软件细分 【课室环境】拱墅小区进出方便 【皮肤】暖白皮,皮肤光滑 【陪浴】洗好澡来的,自己简单冲洗,让老师换照片那套情趣去…

❤8👍1

16 Oct 2026, 13:41 UTC≈5,130 views1 reactionsread 25 October 2026
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【No.144 】 【艺名】#网红小米 【私信】 @wanghongxiaomi 【地点】滨江 【价格】1300P 【类型】网红甜妹 【年龄】23左右 【评价】超级好评 ⬇️ 综合得分:87 硬件: 颜值 9 分 身材 9 分 胸型 9分 户型 9分 水量紧度 8.5分 硬件评分:44.5 软件: 服务态度 9分 服务技巧 8.5分 屌感 8.5分 啪啪反馈 8.5分 突出技巧 8 分 软件评分:42.5 软件硬化工程施工过程: 高颜值的脸蛋无法倾囊相授 细肢还搭配大胸?荒不荒谬 这是网红小米 用硬件穿透 老天爷这样赏饭吃怎么将就? 硬件软件细分 【课室环境】小区房,进出方便 【皮肤】灯光昏暗,肤色不详,应该还白的,手感比较哇塞 【陪浴】没要,洗过澡来的 随手一冲就行 【舌吻】无,可远观不可亵玩焉 【口活】8.5分 【胸型】老天爷赏饭吃的胸,完美胸型 【户型】人工白虎,小蝴蝶,汁水充盈 【…

❤1

15 Oct 2026, 20:48 UTC≈4,230 views3 reactionsread 24 October 2026
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【No.143 】 【艺名】#乐伊 【私信】 @leyi0423 【地点】萧山 【价格】1300P 【类型】舔御双修 【年龄】23左右 【评价】超级好评 ⬇️ 综合得分:91 硬件: 颜值 8.5分 身材 8.5分 胸型 8.5分 户型 8.5分 水量紧度 10分 硬件评分:44 软件: 服务态度 10分 服务技巧 9分 屌感 10分 啪啪反馈 9.5分 突出技巧 8.5分 软件评分:47 软件硬化工程施工过程: 进门像是熟人认识了很久聊着最近, 其实第一次见面都不知道双方贵姓, 一眼就喜欢身体诚实龙筋今晚最硬, 超高含金量的一炮诞生是上天注定! 硬件软件细分 【课室环境】萧山高档小区,课室布置有氛围感,安全系数高 【皮肤】暖白皮 【陪浴】AB面洗的认证,双胸泡泡浴,水中萧 【舌吻】吻技出击生涯TOP级,主打一个投入感拉满,这真的是在吻情人 【口活】9分 【胸型】天然B胸,乳头乳晕大小…

❤2🦄1

10 Oct 2026, 15:34 UTC≈4,100 views2 reactionsread 23 October 2026
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【No. 142】 【艺名】#颜小雨 【私信】 @yxy55599 【地点】萧山 【价格】1300P 【类型】颜值气质港味御姐 【年龄】25左右 【评价】超级好评 ⬇️ 综合得分:87 硬件: 颜值 9分 身材 9分 胸型 9分 户型 8.5分 水量紧度 8.5分 硬件评分:44 软件: 服务态度 9分 服务技巧 8.5分 屌感 9分 啪啪反馈 8.5分 突出技巧 8分 软件评分:43 软件硬化工程施工过程: 在TG漫天繁星的海洋里发现了颜小雨, 今日如愿所见翻云覆雨后开始提巧笔! 硬件软件细分 【课室环境】萧山小区,非聚集地小区,安全系数高 【皮肤】皮肤白皙,光滑 【陪浴】没要让老师选制服去了,无花活自己搞快点 【舌吻】被动型,你要他就给你了,舌头软糯还挺好吻 【口活】8.5分 【胸型】B+—C之间 一掌有余,乳头乳晕小 【户型】人工白虎小蝴蝶 【装备】多丝多套可选 初印象: 其实…

❤2

10 Oct 2026, 13:58 UTC≈2,840 viewsread 19 October 2026
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10 Oct 2026, 09:29 UTC≈2,700 views4 reactionsread 19 October 2026
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【No.141 】 【艺名】#北极星 【私信】 @jingtong5220 【地点】上城区 【价格】1000P 【类型】服务型骚系御姐 【年龄】20大 【评价】好评 ⬇️ 综合得分:88 硬件: 颜值 8分 身材 8.5分 胸型 8.5分 户型 8.5分 水量紧度 8.5分 硬件评分:42 软件: 服务态度 9.5分 服务技巧 9.5分 屌感 8.5分 啪啪反馈 9.5分 突出技巧 9分 软件评分:46 软件硬化工程施工过程: 在去北极的路上先去看看星 进门搂腰摸屁股沙发谈谈心 轻纱抚脂蹭龙头舌吻猛猛亲 龙头翘首撩拨心弦,走~炮房尝尝精! 硬件软件细分 【课室环境】小区房进出方便,非聚集地小区安全系数尚可 【陪浴】有帮洗,胸推臀推泡泡浴,无水中萧 【舌吻】吻到你窒息~~~大蟒蛇是基操 【口活】9.5分满级号 【胸型】感觉有D了,有底座,根本摸不出来,乳头乳晕小 【户型】毛量适中,小蝴蝶 …

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7 Oct 2026, 17:31 UTC≈3,230 views6 reactionsread 18 October 2026
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【No. 140】 【艺名】#babyE奶 【私信】 @baby886686 【地点】拱墅 【价格】1300P 【类型】甜妹 【年龄】20出头 【评价】好评 ⬇️ 综合得分:86 硬件: 颜值 8.5分 身材 9分 胸型 8.5分 户型 8.5分 水量紧度 8.5分 硬件评分:43 软件: 服务态度 9分 服务技巧 8.5分 屌感 8.5分 啪啪反馈 8.5分 突出技巧 8.5分 软件评分:43 软件硬化工程施工过程: 虽是第一次见面和陌生人又不相同, 春宵一刻值千金说的是短暂的相逢, 做最亲密的举动,是身体上的相融, E 奶是你的特色,和小肥鲍的相重。 硬件软件细分 【课室环境】小区房,进出方便,装修尚可 【妆容】妆容挺精致 【衣品】女仆制服迎进门,有点萝莉路线 【陪浴】无花活 【舌吻】被动型管饱,你要他就给。 【口活】8分 【胸型】饱满挺阔,大大咦大咦大大 【户型】小肥鲍,人工处理…

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6 Oct 2026, 19:29 UTC≈2,890 views0 reactionsread 16 October 2026
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杭州爆破严选群 只做杭城精选集(超精选超严选) 多看爆破少踩坑,出击路上永绿灯! ! 进群点击 https://t.me/niumazai_bot?start=i-UeZu8XMffpZiMzVh

Showing the 12 most recent of 51 posts we hold for @BaopoCM. 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 6 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“杭州爆破(出击记录仪)” (@BaopoCM), 27,523 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/BaopoCM.

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.