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Channel
杭州•鱼塘Fish girl
@YTBZ77
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Cite this entry
25,939subscribers
+18,379 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003763758467 |
|---|---|
| Type | Channel |
| Username | @YTBZ77 |
| Description | 杭州精选出击交流群 激情群聊 @YTBZ88 报告提交 @zhonghuaxunfish_bot 上榜/投诉/纠纷 @yudaheisikishu_bot @ejectIn3s 活动公开 @HZYT99 选择鱼塘,少走弯路 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/YTBZ77 |
Topic
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 08:25 | 25,939 | +99 |
| 6 Nov 2026, 11:16 | 25,840 | +56 |
| 5 Nov 2026, 12:46 | 25,784 | +278 |
| 4 Nov 2026, 13:17 | 25,506 | +43 |
| 3 Nov 2026, 16:36 | 25,463 | +182 |
| 2 Nov 2026, 17:51 | 25,281 | +102 |
| 1 Nov 2026, 19:01 | 25,179 | +119 |
| 31 Oct 2026, 17:46 | 25,060 | +171 |
| 30 Oct 2026, 14:40 | 24,889 | -17 |
| 29 Oct 2026, 14:15 | 24,906 | +174 |
| 28 Oct 2026, 16:07 | 24,732 | +121 |
| 27 Oct 2026, 18:15 | 24,611 | +351 |
| 26 Oct 2026, 17:39 | 24,260 | +237 |
| 25 Oct 2026, 18:36 | 24,023 | +57 |
| 24 Oct 2026, 20:31 | 23,966 | +15 |
| 23 Oct 2026, 23:58 | 23,951 | -345 |
| 23 Oct 2026, 00:57 | 24,296 | +7 |
| 21 Oct 2026, 22:59 | 24,289 | -49 |
| 20 Oct 2026, 16:10 | 24,338 | +881 |
| 19 Oct 2026, 17:26 | 23,457 | first reading |
Engagement
133 posts held, back to 11 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 45 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.28%
- avg views ÷ 25,939 subscribers
- Avg views / post
- 852
- 95 posts measured
- Reaction rate
- 0.119%
- reactions ÷ views · ER floor
- Posts in window
- 95
- of 133 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 32 of 95 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 133 (11 August 2026 – 8 November 2026) |
| Views total | 80,905 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 01:18 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
- 321
- Videos
- 99
- Links
- 104
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
- 10m 16s
- Average length
- 9s
Measured directly from 72 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
53 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 84.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 45 | 84.9% | |
| 👎 | 3 | 5.66% | |
| 💯 | 2 | 3.77% | |
| 🍓 | 1 | 1.89% | |
| 🎉 | 1 | 1.89% | |
| 💋 | 1 | 1.89% |
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 52 of the 133 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 53 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 133 most recent posts we hold, published 11 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.
Telegram Stars
- Stars received
- 5
- across the posts below
- Posts paid on
- 5
- of 132 we hold a reading for · 4%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @YTBZ77. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 133 most recent posts we hold for this entry, published 11 August 2026 to 8 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 95 posts held from the last 30 days (4.21%) 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).
⚜御姐推荐️⚜ 【花名】:#桃籽 #上城区 【水费】:#1200p #2200pp 【身材】:#B罩杯,162cm 【电报】:@SilvanaBen 【标签】:#御姐 #无套69 #无套口 #蛇吻 【报告】: * 金色传说,大G阴谋 ©️ 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤️🔥以身入局 参与计划❤️🔥
⚜御姐推荐️⚜ 【花名】:#诺一萌 #拱墅区 【水费】:#1200p #1900pp 【身材】:#D罩杯,170cm 【电报】:@suxiaoyalaoshi 【标签】:#御姐 #陪浴 #舌吻 #ab面 【报告】: * 嫩御带服务,这你受的了么 ©️ 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤️🔥以身入局 参与计划❤️🔥
⚜️御姐推荐️⚜️ 【花名】:#湉湉 #上城区 【水费】:#1300p #2300pp 【身材】:#C罩杯 【电报】:@tiantian50408 【标签】:#御姐 #陪浴 #舌吻 #六九 【报告】: *上海老师,自开飞机 ©️ 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤️🔥以身入局 参与计划❤️🔥
⚜嫩妹推荐⚜ 【花名】:#小兮 #上城区 【水费】:#1000p #1800pp 【身材】:#C罩杯 【电报】:@a450228933 【标签】:#嫩妹 #舌吻 #69 #制服 【报告】: *19岁嫩妹,杭州首开 © 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤🔥以身入局 参与计划❤🔥
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⚜嫩妹推荐⚜ 【花名】:#小安 #拱墅区 【水费】:#1200p #2200pp 【身材】:#C罩杯 【电报】:@wydsgeee 【标签】:#嫩妹 #舌吻 #69 #制服 【报告】:1 2 3 4 5 6 © 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤🔥以身入局 参与计划❤🔥
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_7638588179
11月6日兑换14:00开启 恩恩 2个6折 诗婉 2个6折 小乖乖1个6折
⚜嫩妹推荐️⚜ 【花名】:#小乖乖 #上城区 【水费】:#1000p #1800pp 【身材】:#C罩杯,165cm 【电报】:@ehd333 【标签】:#嫩妹 #陪浴 #舌吻 #事后萧 【报告】: * 青春修炼手册之我觉得wcn,6折兑换 ©️ 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤️🔥以身入局 参与计划❤️🔥
⚜️御姐推荐️⚜️ 【花名】:#湉湉 #上城区 【水费】:#1300p #2300pp 【身材】:#C罩杯 【电报】:@tiantian50408 【标签】:#御姐 #陪浴 #舌吻 #六九 【报告】: *上海老师,自开飞机 ©️ 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤️🔥以身入局 参与计划❤️🔥
⚜嫩妹推荐️⚜ 【花名】:#诗婉 #拱墅区 【水费】:#800p #1500pp 【身材】:#B罩杯,162cm 【电报】:@xixihhhl 【标签】:#嫩妹 #陪浴 #舌吻 #69 【报告】: * 可解锁潮喷体质?6折兑换 ©️ 𝙔𝙪𝙩𝙖𝙣𝙜𝙗𝙖𝙯𝙝𝙪 𝘾𝙤𝙥𝙮𝙧𝙞𝙜𝙝𝙩 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 🔵点击参与 激情群聊🔵 ❤️🔥以身入局 参与计划❤️🔥
Showing the 12 most recent of 133 posts we hold for @YTBZ77. 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 recorded as deleted after publishing
We recorded 6 posts on @YTBZ77 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
- 21 October 2026
- Most recent seen missing
- 8 November 2026
- Median time before seen missing
- 26 hours
- Seen missing in the last 30 days
- 6
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 12 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.
@miaobihuijuan · 34,4629 posts春朝频道
@ChunZhaoChannel · 38,0508 posts黑鱼出击计划
@HZYT99 · 19,2748 posts玉蒲团&玉/御女心经(上海、杭州)
@yuputuan1989 · 31,4836 postsLotteryBest精选推荐
@lotterybestnav · 168,7744 postsLotteryBest抽奖导航
@lotterynav · 193,7714 posts®𝘿𝙖𝙙𝙏𝙑(杭州、上海)
@lyfulishe · 94,0193 posts骚视频看频道里链接
@jinli6969 · 21,6471 post乐淇的欢喜日常
@leqibaby · 1,3181 post免费抽奖导航
@mianfeichoujiangdaohang · 22,2361 post飞机号/TG号/飞机会员/TG会员
@TGShopList · 1,4931 post杭州一哥传媒
@yigechuanmei2 · 24,1461 post
Names
Channels on the register whose handles appear in this channel's posts.
@HZYT88 · 19,465107 posts黑鱼出击计划
@HZYT99 · 19,27488 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,483,42216 posts鱼塘报告专区
@YTBGZQ1 · 8318 postsHudukkdnfuokfm
@aiyouyouyou08 · 2,1342 posts春朝频道
@ChunZhaoChannel · 38,0502 posts叶子 🍃
@leaf_552200 · 3,3512 posts花间集
@miaobihuijuan · 34,4622 postsMi哥大讲堂(杭州、上海)
@Mike1985cj · 35,9252 posts双喜【杭州会所/按摩/门店/SPA】92频道
@PD07770 · 7,8942 posts双喜【杭州按摩/门店/SPA】92会所
@SP08880 · 12,0352 posts杭州双喜【实体SPA】体验报告
@TY09990 · 1,5372 posts杭州
@b4dfoMwAzA02YmI9 · 41 post【初见】萝莉包养交流群
@chujianbaoyang9 · 21,9321 post杭州高端精品4T·5T·SPA
@fvhdghhg · 1,9491 post可乐唯一新频道
@kelepindao · 121 post杭州高端精品4T·5T·SPA
@mbfcjfvd · 1,3661 postMulan蔓椿|Spa·龙筋
@Mulan1150 · 10,2361 post沐婉小屋🏠
@muwanbb521 · 3,1911 post小鹿包养交流群
@xiaoluJLQ5 · 2,1851 post会员交易反馈
@xiaoluVIPfk77 · 141 post【小鹿包养】全国选妃频道
@xiaoluxf111 · 4,5161 post夜巴黎的寝宫殿
@Ybl99 · 1,7391 post洛洛的频道
@yiyiderq · 2,2531 post
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“杭州•鱼塘Fish girl” (@YTBZ77), 25,939 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/YTBZ77.
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.