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Channel

杭州半岛推荐频道

@BanDaoNMYX

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

50,207subscribers

+13,367 since we began measuring on 17 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002417149976
TypeChannel
Usernames@BanDaoNMYX @shanghai_id
Description狼友推荐老师栏目 收录均来自小群狼友交流分享,纯公益无限制 https://t.me/+KijN1cZterk0YzRl
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 August 2026
Last confirmed live5 November 2026
Measurements held101
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/BanDaoNMYX

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 the other topics.

Growth

36,84050,20743,523.517 August 20265 November 2026
101 measurements spanning 81 days, net +13,367. 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 34,835–52,212 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 101
Measured (UTC)SubscribersChange
5 Nov 2026, 21:4650,207+184
5 Nov 2026, 06:3050,023+25
4 Nov 2026, 18:1949,998+226
4 Nov 2026, 08:0849,772+68
3 Nov 2026, 15:5549,704+142
3 Nov 2026, 10:3049,562+139
2 Nov 2026, 13:5549,423+122
2 Nov 2026, 08:2849,301+34
1 Nov 2026, 16:3649,267+152
1 Nov 2026, 08:0749,115+100
31 Oct 2026, 15:0649,015+160
31 Oct 2026, 08:2848,855+135
30 Oct 2026, 13:4548,720+131
30 Oct 2026, 07:5448,589+94
29 Oct 2026, 16:0848,495+183
29 Oct 2026, 07:5048,312+258
28 Oct 2026, 13:2648,054+14
28 Oct 2026, 09:1148,040+159
27 Oct 2026, 13:4447,881+73
27 Oct 2026, 11:1447,808first reading

Engagement

171 posts held, back to 17 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 153 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.89%
avg views ÷ 50,207 subscribers
Avg views / post
1,450
82 posts measured
Reaction rate
0.271%
reactions ÷ views · ER floor
Posts in window
83
of 171 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 71 of 82 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 5 November 2026
Posts held171 (17 August 2026 – 5 November 2026)
Views total118,853
Reactions total280
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 22:49 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
94
Videos
29
Links
58

Lifetime counters from Telegram’s own channel header, read 5 November 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
9m 33s
Average length
7s

Measured directly from 83 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

331 reactions across 90 posts, in 10 distinct kinds. The most used accounts for 67.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤22367.4%
👍3811.5%
🔥236.95%
🥰175.14%
👏154.53%
💩51.51%
🎉41.21%
👎30.906%
🍓20.604%
😁10.302%

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 105 of the 171 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 331 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 171 most recent posts we hold, published 17 August 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 18 of 83 posts held from the last 30 days (21.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 03:49 UTC≈1,030 views6 reactionsread 5 November 2026

11.4 总结 ⚠️⚠️⚠️信息有时效性 如果约课涉及金钱的必须要看榜单在不在 有骗子的可能⚠️⚠️⚠️ (每个人喜好不同可能会片面,有赞同或者不同意的可以在评论区补充) 呆呆 @ddbcxc 瘦,但是胸小b,身材不错,本人比照片好看,服务态度很好,超紧,屌感极佳,配合度很高。做爱反馈就是真实少女的娇喘和哼哼唧唧,dirty talk不太会反而也别有风味。算是800上等马了 点点 @DD08huohao 我愿称之为800价位的萝莉之王 这个确实好 小夹子无敌 我最喜欢小夹子了 小手办,16岁女高中生(即视感),纯天然 19岁,但是真人真的很像未成年 A胸一手握 黄白,偏2号色 夭夭 @yaoyaoya71 这个妹妹确实还行,第一课我去吃了,土纯风 晨乐 @chenle88 晨乐老师可以哦,前几天去了,被秒了 女上很厉害,主动口得也不错很深 小晨乐皮肤雪白无纹身。童颜巨乳,性格温柔体贴,初见会有点害羞,熟悉之后也好沟通,…

❤4🎉1👍1

4 Nov 2026, 03:09 UTC≈1,510 views13 reactionsread 5 November 2026

11.3 总结 ⚠️⚠️⚠️信息有时效性 如果约课涉及金钱的必须要看榜单在不在 有骗子的可能⚠️⚠️⚠️ (每个人喜好不同可能会片面,有赞同或者不同意的可以在评论区补充) 鱼儿baby @keaiyuer88 白虎 一线天鲍鱼大胸 这都是门槛,情绪价值拉满满,没有最夯只有更夯!顶级没得说,8p前无古人 榣亦榣 @aiyao033 @Wanaini119 脸整感有点重 ,脖子以下硬件没得说,白皮,原装熊b很挺,健身有马甲线,白虎,很敬业同时也意味着sop化,做爱体验中规中矩 人工白虎 苏清禾 @shh223355 只能说爆满是有原因的 身材很好 床感很好 很紧 然后长得挺好看,御姐 胸好像是有科技,但是不影响,摸不出来,很大 很骚 床上反馈很真实 是我喜欢的类型 900是真便宜 能看出来年轻 我没舌吻不习惯 10.24那个视频,有点东西的😂😂 就是她那个胸好大啊很软 脸还行 屁股大 小牙 @beishangxiao…

❤9👍2👏1🥰1

3 Nov 2026, 07:02 UTC≈1,650 views3 reactionsread 5 November 2026
Photo

#苏清禾 @shh223355 #拱墅 #900p 1600pp 大御姐,胸大,屁股大那种 但是这个行情能天天满,真的有点厉害 只能说爆满是有原因的 身材很好 床感很好 很紧 然后长得挺好看,御姐 胸好像是有科技,但是不影响,摸不出来,很大 很骚 床上反馈很真实 是我喜欢的类型 900是真便宜 能看出来年轻 我没舌吻不习惯 10.24那个视频,有点东西的😂😂 就是她那个胸好大啊很软 脸还行 屁股大 苏清禾去了,很润 但确实是科技奶 床感很好 也很配合 日起来很舒服 没有烟味 但蛇起来不是很主动

❤1👏1🔥1

3 Nov 2026, 05:28 UTC≈1,540 views4 reactionsread 5 November 2026
Photo

#小小雨 @xiaoyu7701 #上城 #1000p 1800pp 人照8.9,温婉气质,外形良家感,黄肤,身材匀称。跳跳糖口 口技很好,深喉技术可以,不紧不慢的类型。蛋柄头都照顾到了。穿插着胸推和旋转 倒立口。 紧,温热 人工白虎,润 人照ok,气质温柔型的服务轻御,屌感佳 还不错的 服务和脸结合的好的比较少

❤2🔥1🥰1

3 Nov 2026, 04:45 UTC≈1,610 views5 reactionsread 5 November 2026

11.2 总结 ⚠️⚠️⚠️信息有时效性 如果约课涉及金钱的必须要看榜单在不在 有骗子的可能⚠️⚠️⚠️ (每个人喜好不同可能会片面,有赞同或者不同意的可以在评论区补充) 桑桑 @Kruis_1 性格很好的妹妹,态度也很好,颜值也很好看,现在很热爱生活了,阳光了好多,现在是自聊了,之前被中介瞎搞影响了点妹妹的声誉,现在妹妹自聊,个人整体体验挺好 这妹妹其实我觉得算清纯 没有啥风尘气 叮叮猫 @dingdingmao2 刚出来满分 跨城推荐处理 萝莉控终点站 这个不是幼态的168其实是刚好的状态应该是大一感觉 o泡 @Opao666888ffff 顶级肉体 可惜有个花臂 哎 白嫩的顶级肉体还是太少 一般般 黄皮吧 没我白反正 我现在去过真正白的说实话只有米乐 玉玉酱 @yyjiang01 大只马人照8.5,颜值中等偏上,萝莉脸御姐身。也是话唠。凿感不错,后入带劲。 优米 @youmi322 结束了,大长腿,颜值高,胸…

❤2🔥2👍1

2 Nov 2026, 09:23 UTC≈1,730 views3 reactionsread 5 November 2026
Photo

#优米 @youmi322 #萧山 400 92里面最接近95的选手 正面道具口 臀推一绝 人照8.5以上吧 有颜有🐻有技术 结束了,大长腿,颜值高,胸也不小,服务非常到位,整个人被添得苏苏的,就是屁股确实没什么肉😂

❤3

2 Nov 2026, 07:02 UTC≈1,710 views5 reactionsread 5 November 2026
Photo

#诗涵 @loveshihan11 #余杭 #800p 1500pp 人照10分,就是太瘦,没胸。排骨款 颜值很高的嫩妹,和她做爱就像学生时期和女朋友做爱一样。唯一复刷10多次的老师 人照能给到11分。完全一致。排骨嫩妹款。乖巧听话、姿势配合。敏感易出水体质。不抽烟、无纹身、皮肤滑嫩。做爱有种小鸟依人的感觉。 女友感强。长的好看,每次都要看这个她的脸出货。胸不大但是很好看,手感绝佳。妹子很瘦很苗条,可以抱起来干。

❤2👍2👏1

2 Nov 2026, 06:59 UTC≈1,500 views8 reactionsread 5 November 2026
Photo

#天菜 @xxdtc #上城 #900p 1700pp 颜值不错,黄白皮偏白,配合度极高,细节控,会尽力配合。 天菜很棒很可爱的女孩子 真极品细枝硕果 长得有点像夏沫她的身材真的超顶 下胸围很小显得胸很大 手掌的曲度和胸部的贴合是上帝设计过的 做爱体验很好,情绪价值很高,长腿,颜值,嫩妹身材但胸却很大,纹身多了一点但不影响,做爱前面会娇羞很有意思,后面也会提一点要求沉寂感更强。

❤5👍2👏1

2 Nov 2026, 03:59 UTC835 viewsread 2 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6334197789

2 Nov 2026, 03:59 UTC801 views2 reactionsread 2 November 2026

提问 回答发送信息给 @bandaotiwenbot 可以奖励积点 下面去过的老师可以简评一下 发送信息给 @bandaotiwenbot 可以奖励积点 有想询问的老师也可以发送机器人 @xueer8887766 @hanwenrou520 哪些老师深喉厉害的推荐一下 双飞老师推荐 想问下 只喜欢那种胸挺挺的圆圆的乳晕较小的美乳老师有哪些呀 没纹身最好 有瑜伽可以一字马,解锁更多姿势的老师吗

❤2

2 Nov 2026, 02:18 UTC921 views8 reactionsread 2 November 2026

11.1 总结 ⚠️⚠️⚠️信息有时效性 如果约课涉及金钱的必须要看榜单在不在 有骗子的可能⚠️⚠️⚠️ (每个人喜好不同可能会片面,有赞同或者不同意的可以在评论区补充) O泡 @Opao666888ffff 这个可以的 顶配硬件 配得上童颜巨乳这个称呼 人照一致的 童颜巨乳,光奶子我就觉得可以日了 800的价格要求不要太高 啥都很好也不会开800 柠檬 @lemoncc3 有些老师不等你完全射完就拔嘴了 柠檬是真的完完全全的全部含住 阿瑶也是啊 我喜欢去阿瑶 @y1005t 450p的嫩妹95,毒龙和口爆拉满,你值得拥有 小七 @xiaoqibba 劳资干过最紧的就是现在在上海开的那个小七 有恨强烈的要被挤出来的感觉 阻尼感绝了 饭饭 @ccciiks 可以啊 人照如一 饭饭有个很大的缺点 这么好看开啥九五弄的硬板板的难受 必须九八这样😭 很白啊 人照一致啊 皮肤很白啊我觉得可以的 栗娜 @xxiaomishu …

❤5🥰2👍1

1 Nov 2026, 03:58 UTC≈1,250 views7 reactionsread 2 November 2026
Photo

#人妻汤圆 @tangyuan030 #拱墅 #1300p 2380pp 投入,骚,反差拉满 上个月约过汤圆,也很怀念 两个完全不同风格 汤圆,人妻,骚的很 现在不重次数,重质量了 直接把她桩尿了 第一次结束,技能cd的时候,她还在那自己扣,还用我的手扣 照片跟真人挺像的,就是多了磨皮 Cjs的时候,她还要抬起来看着自己被插入 泡泡和nice的又不能和汤圆比,虽然我没有cj过她,但是和她聊天,我就知道和少妇聊天。汤圆是完全懂男人的,但是泡泡和nice还处在懂一点,没完全明白,更自我为中心的阶段。 深圳名师喜欢少妇款的不要错过

❤5🔥1🥰1

Showing the 12 most recent of 171 posts we hold for @BanDaoNMYX. 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.

Posts edited after publishing

@BanDaoNMYX edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 October 2026
Most recent edit
1 November 2026

Posts recorded as deleted after publishing

We recorded 3 posts on @BanDaoNMYX as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
19 October 2026
Most recent seen missing
2 November 2026
Median time before seen missing
39 hours
Seen missing in the last 30 days
3

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 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“杭州半岛推荐频道” (@BanDaoNMYX), 50,207 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/BanDaoNMYX.

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.