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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

50,679subscribers

+13,839 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 live8 November 2026
Measurements held105
Confirmed unchanged1 time, most recently 8 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

36,84050,67943,759.517 August 20268 November 2026
105 measurements spanning 83 days, net +13,839. 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 34,764–52,755 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 105
Measured (UTC)SubscribersChange
8 Nov 2026, 03:1650,679+153
7 Nov 2026, 09:0650,526+10
6 Nov 2026, 22:2650,516+248
6 Nov 2026, 06:5650,268+61
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, 07:5048,312first reading

Engagement

180 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 158 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.82%
avg views ÷ 50,679 subscribers
Avg views / post
1,430
91 posts measured
Reaction rate
0.279%
reactions ÷ views · ER floor
Posts in window
92
of 180 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 80 of 91 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 8 November 2026
Posts held180 (17 August 2026 – 8 November 2026)
Views total130,070
Reactions total320
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 10:56 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
112
Videos
32
Links
64

Lifetime counters from Telegram’s own channel header, read 8 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 57s
Average length
7s

Measured directly from 86 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

371 reactions across 98 posts, in 10 distinct kinds. The most used accounts for 65.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤24465.8%
👍4612.4%
🔥277.28%
🥰205.39%
👏184.85%
🎉51.35%
💩51.35%
👎30.809%
🍓20.539%
😁10.27%

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 114 of the 180 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 371 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 180 most recent posts we hold, published 17 August 2026 to 8 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 92 posts held from the last 30 days (19.6%) 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).

8 Nov 2026, 02:28 UTC490 views0 reactionsread 8 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

8 Nov 2026, 02:28 UTC513 views4 reactionsread 8 November 2026

11.7 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,或者狗推冒充狼友发言被收录了,有赞同或者不同意的请在评论区或群内补充⚠️⚠️⚠️ 茜茜 @xiaoqian081118 皮肤很好,性格活泼,女友试体验,馒头逼,算是名器,里面会不自觉收缩,包裹感无敌了 欣妤 @xxxff3232 这个欣妤让我感觉是在日孙艺珍 真神奇 我指的吊感 脸像诗诗 胸是脂肪胸 不是腺体 还可以 日的蛮爽的 应该是能喷的 我刚破甲 人照9有的 脂肪胸一躺瘫在那了 没诗诗活泼 幼米 @cdnnfdc666888 因为刚下海身材很好 所以我多刷了两次 樱酱 @bbyingjiang 因为颜值很棒。但情绪价值一般 可可 @xiaobulideli 情绪价值很足 半岛泡泡 @paopa0hz 也是这样 阿瑶 @y1005t 哇 狼友推荐的阿瑶我刚去了 我真…

❤2👍1🔥1

7 Nov 2026, 12:03 UTC954 views3 reactionsread 8 November 2026
Photo

#angelababy @zs80809 #拱墅 #1600p 3000pp 这个妹妹好啊,床上表现可以无敌了,恨不得把她🌿死啊,冷白皮,三点粉嫩,水还特别多,床单都日湿了,颜值也站得住 很白我觉得和米乐差不多 紧,主要一缩一缩的 人照9左右吧,多了一点美颜就是

❤1👍1👏1

7 Nov 2026, 02:41 UTC≈1,270 views6 reactionsread 8 November 2026

11.6 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,或者狗推冒充狼友发言被收录了,有赞同或者不同意的请在评论区或群内补充⚠️⚠️⚠️ 夏芯 @xiaxinff 情绪价值这一块 的确情绪价值给的很足,也认真 也贵啊 那确实 呆呆 @ddbcxc 人照基本一致 皮肤挺白的 胸有b吧 染了一个黄毛现在 技术一般 不太会口 但是非常配合 夸张的是还去门卫那里接狼友 要不就是站在门口等狼友 我嘞个小祖宗,我都劝她不要这么抛头露面 了。等会被她邻居看到了就不好了。 雪儿 @xueer8887766 雪儿冷白皮1号色,非常白,可惜是个大号飞机杯,没啥服务 是真的白,没见过这么白的,可惜非常非常I,而且没啥服务 真冷白皮,频道有个奶子照,参考那个白度 乳头很粉,皮肤很白 稍微有点bbw,大骨架河南妹妹 开8可能更合理,飞机杯 唐小…

❤4👍1🔥1

6 Nov 2026, 07:05 UTC≈1,520 views4 reactionsread 8 November 2026
Photo

#沐沐 @mum027 #萧山 #1300p 2300pp 她和cc 的屁股在我这无敌 健美身材,超级大臀 偏白皮,顺滑皮肤 科技C胸 无赘肉,腰臀比完美 小蟒蛇 情绪价值高 做爱体验佳 顶级魅魔,想体验被榨干的感觉就来 cj

❤2👏1🔥1

6 Nov 2026, 06:57 UTC≈1,400 views3 reactionsread 8 November 2026
Photo

#她 @tatata909099 1200p 2200pp #拱墅 标准小甜妹长相,大眼睛,嘴巴小小的,嘴角上扬 正常肤色,身材苗条,小翘臀,对A,腿长腰细 做爱渐入佳境,反应很激情 舌吻也会变得激情大蟒蛇 又紧又润。日感在嫩妹里属于顶级。

❤1👍1🥰1

6 Nov 2026, 06:55 UTC≈1,290 views4 reactionsread 8 November 2026
Photo

#布丁 @buding88666 #上城 #丁桥 #800p 1500pp 服务态度太好了,聊到最后1分钟都没催我走。 真有点不一样,别的老师都是进门。交完钱就去洗了。 这个老师我准备去洗,他还叫我先坐一会 跟我聊会天,然后还要摸摸我的手。 这个老师 颜值 服务技术 真的顶级 就是胸小了点 可能只有b- 服务态度 技术 颜值 没得挑 ,皮肤没那么光滑 胸b- 就这两个缺点

❤1🎉1👍1🥰1

6 Nov 2026, 06:53 UTC≈1,200 views3 reactionsread 8 November 2026
Photo

#欣妤 @xxxff3232 #拱墅 #1000p 1900pp 和频道里的写真照片,验证视频8.5分相似,主要做了美白、窄脸调整,纯天然,淡妆,可爱型小美女。身形修长,两条细长美腿,纯天然C,脂肪胸,水滴型,手感一流,乳头小,并非纯天然白虎(有一点点毛)肤色④号。 无科技痕迹,无健身痕迹。 阴蒂敏感型,舔几下就能喷水,口活、女上这些都比较生疏 投入感,是和大学生约炮的感觉,0流程0班味,就是那种自然而然的过程,没有大喊大叫,总之,我非常享受这种过程和感觉,很爽 欣妤去了 挺好的 她是真嫩啊 刚满18 但是啥也不会。。 不大会口 也不大会亲 适合会调教的兄弟去 很乖 很嫩 胸小c 吧 但是手感好 全程我在动 她刚上去动了几下 说自己不大会上面 我笑死

❤1👍1👏1

6 Nov 2026, 05:23 UTC≈1,130 views8 reactionsread 7 November 2026

11.5 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,或者狗推冒充狼友发言被收录了,有赞同或者不同意的请在评论区或群内补充⚠️⚠️⚠️ 佳怡 @Jyjy0916 手脚白,躯干黄白吧 80斤,包紧的下面还和小孩一样 涵涵酱 @jincos520 3号色正常偏白,皮肤紧致嫩滑,略有疙瘩。婴儿肥,胸A+笋尖 小🐍 ,叫的很大声,能调动情绪,dirty talk也多。 欣妤 @xxxff3232 和频道里的写真照片,验证视频8.5分相似,主要做了美白、窄脸调整,纯天然,淡妆,可爱型小美女。身形修长,两条细长美腿,纯天然C,脂肪胸,水滴型,手感一流,乳头小,并非纯天然白虎(有一点点毛)肤色④号。 无科技痕迹,无健身痕迹。 阴蒂敏感型,舔几下就能喷水,口活、女上这些都比较生疏 投入感,是和大学生约炮的感觉,0流程0班味,就是那种自然而然的过程,…

❤5👍2🔥1

5 Nov 2026, 03:49 UTC≈1,760 views8 reactionsread 7 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,…

❤5🎉1👍1🥰1

4 Nov 2026, 03:09 UTC≈1,980 views16 reactionsread 7 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…

❤12👍2👏1🥰1

3 Nov 2026, 07:02 UTC≈1,900 views3 reactionsread 6 November 2026
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#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

Showing the 12 most recent of 180 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.

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

“杭州半岛推荐频道” (@BanDaoNMYX), 50,679 subscribers as measured 8 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.