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Channel

上海娱乐榜【探花联盟】

@SHYLBD0

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

30,318subscribers

-2,000 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002260224053
TypeChannel
Username@SHYLBD0
Description全国可选榜单 https://t.me/c9439 上海站 https://t.me/+uUUkHDV_BHYzODNl 上榜联系 https://t.me/SBLXRBOT
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 October 2026
Measurements held41
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/SHYLBD0

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 9 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

30,31835,87533,096.56 August 2026 — 32,318 subscribers7 August 2026 — 32,335 subscribers8 August 2026 — 32,342 subscribers9 August 2026 — 32,376 subscribers10 August 2026 — 32,230 subscribers11 August 2026 — 31,846 subscribers12 August 2026 — 31,743 subscribers13 August 2026 — 31,355 subscribers14 August 2026 — 33,157 subscribers15 August 2026 — 33,112 subscribers17 August 2026 — 33,014 subscribers18 August 2026 — 32,819 subscribers19 August 2026 — 32,607 subscribers20 August 2026 — 32,606 subscribers21 August 2026 — 32,629 subscribers23 August 2026 — 35,633 subscribers24 August 2026 — 35,559 subscribers25 August 2026 — 35,557 subscribers26 August 2026 — 34,247 subscribers27 August 2026 — 35,845 subscribers28 August 2026 — 35,847 subscribers29 August 2026 — 35,868 subscribers30 August 2026 — 35,875 subscribers31 August 2026 — 35,836 subscribers1 September 2026 — 35,582 subscribers2 September 2026 — 35,130 subscribers4 September 2026 — 34,621 subscribers6 September 2026 — 33,398 subscribers9 September 2026 — 31,393 subscribers12 September 2026 — 34,645 subscribers14 September 2026 — 34,063 subscribers15 September 2026 — 33,412 subscribers17 September 2026 — 32,350 subscribers28 September 2026 — 35,517 subscribers5 October 2026 — 32,698 subscribers9 October 2026 — 33,560 subscribers13 October 2026 — 31,909 subscribers14 October 2026 — 31,169 subscribers16 October 2026 — 31,027 subscribers16 October 2026 — 30,701 subscribers17 October 2026 — 30,318 subscribers6 August 202617 October 2026
41 measurements spanning 72 days, net -2,000. 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 29,484–36,709 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
17 Oct 2026, 19:0630,318-383
16 Oct 2026, 22:0630,701-326
16 Oct 2026, 00:3631,027-142
14 Oct 2026, 21:5831,169-740
13 Oct 2026, 13:0131,909-1,651
9 Oct 2026, 12:1833,560+862
5 Oct 2026, 02:1532,698-2,819
28 Sept 2026, 09:0035,517+3,167
17 Sept 2026, 23:0132,350-1,062
15 Sept 2026, 18:1533,412-651
14 Sept 2026, 01:3934,063-582
12 Sept 2026, 07:3834,645+3,252
9 Sept 2026, 23:2031,393-2,005
6 Sept 2026, 15:1833,398-1,223
4 Sept 2026, 04:5634,621-509
2 Sept 2026, 19:2735,130-452
1 Sept 2026, 16:2835,582-254
31 Aug 2026, 19:3535,836-39
30 Aug 2026, 17:5835,875+7
29 Aug 2026, 18:2735,868first reading

Engagement

206 posts held, back to 6 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 129 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.00%
avg views ÷ 30,318 subscribers
Avg views / post
304
82 posts measured
Reaction rate
0.267%
reactions ÷ views · ER floor
Posts in window
83
of 206 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 15 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 17 October 2026
Posts held206 (6 August 2026 – 17 October 2026)
Views total24,961
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Oct 2026, 23:40 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
440
Videos
110
Links
92

Lifetime counters from Telegram’s own channel header, read 17 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
24m 40s
Average length
10s

Measured directly from 143 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

38 reactions across 34 posts, in 2 distinct kinds. The most used accounts for 97.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3797.4%
💩12.63%

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 37 of the 206 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 206 most recent posts we hold, published 6 August 2026 to 17 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

17 Oct 2026, 14:11 UTC99 views0 reactionsread 17 October 2026
Photo

📊 1条车评,综合分 8.8 好评 100% | 人照 9.0 | 服务 8.0 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 10.0 | 环境 8.0 👆 【点击查看评价】 🥰 花名: #小白虎 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#浦东 🏠 场地:小区 ⬆️ 身高:162cm ⚖️ 体重:42gk 🎂 年龄:08 👙 罩杯:B+ 💰 价格:1000 /P (40分钟)1800 /PP(90分钟) #10/18 夜 :4500 🔡时长:8小时 🎯 服务标签:#舌吻 #69 #kiss #洗吹做 #鸳鸯浴 #制服丝袜 🔡 个人介绍: @tdd5671 双向:@tdd567bot 频道: https://t.me/tdd789 (老师简介) …

17 Oct 2026, 04:14 UTC168 viewsread 17 October 2026
Photo

📊 2条车评,综合分 9.1 好评 100% | 人照 8.2 | 服务 9.2 中评 0% | 颜值 8.2 | 态度 9.5 差评 0% | 身材 9.2 | 环境 10.0 👆 【点击查看评价】 🥰 花名: #莲儿【服务之星】 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#虹口 🏠 场地:小区 ⬆️ 身高:162cm ⚖️ 体重:60kg 🎂 年龄:28 👙 罩杯:D 💰 价格:700 /P (40分钟)1300 /PP(80分钟) #7/13 夜 :2600 🔡时长:8小时 🎯 服务标签:#舌吻 #69 #kiss #一条龙 #陪浴 #制服丝袜 🔡 个人介绍: @lianer1212 双向:@lianer1313_bot 频道: https://t.me/lia…

17 Oct 2026, 03:53 UTC140 viewsread 17 October 2026
Photo

📊 9条车评,综合分 8.8 好评 89% | 人照 8.6 | 服务 9.6 中评 11% | 颜值 8.3 | 态度 9.4 差评 0% | 身材 8.8 | 环境 8.3 👆 【点击查看评价】 🥰 花名: #白雪 ✅ 状态:🟢 已验证 📍 地区位置:#闵行 🏠 场地:小区/闵行莘庄 ⬆️ 身高:162cm ⚖️ 体重:55gk 🎂 年龄:26 👙 罩杯:E 💰 价格:800 /P (40分钟)1500 /PP(80分钟) #8/15 夜 :2800 🔡时长:8小时 不限次 🎯 服务标签:#kiss #洗吹做 #69 #鸳鸯浴#服务型御姐 🔡 个人介绍: @baixueF1【约课报修车协会】 双向:@baixueF_bot 频道: https://t.me/baixueF (老…

17 Oct 2026, 03:12 UTC438 viewsread 17 October 2026
Photo

🎁 周末红包福利 积分抽奖(定时开奖) ├开奖时间: 2026-10-18 20:00 ├参与需加入: │⭐ 上海修车协会 │└消耗积分: 10 │🎫 修车协会轮播群 │🎫 TG中文导航搜索 │🎫 上海娱乐榜【探花联盟】 │🎫 上海【藏精阁】 ├奖品列表: ├TG会员三个月 × 1 ├现金红包18 × 5 ├积分188 × 8 ├加成上限: 10次 ├抽奖说明:中奖的截图联系老师或管理 预约时间 工兵优惠出击必须写报告 24小时内预约时间,三天内出击,过时自动作废 炸号需找管理验证,无法验证,奖品放回奖池重新抽奖 中奖需本人出击不得转让,活动最终解释权归上海修车协会管理团队所有。 中将截图兑换联系:@liutao688 ├发奖人员:刘涛【修车协会上榜人】 [如何参与?]点击下面抽奖按钮消耗10积分,参与抽奖

17 Oct 2026, 03:00 UTC256 viewsread 17 October 2026
Photo

📊 1条车评,综合分 8.8 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 8.0 | 态度 10.0 差评 0% | 身材 7.0 | 环境 10.0 👆 【点击查看评价】 🥰 花名: #小敏 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#普陀 🏠 场地:小区 ⬆️ 身高:160cm ⚖️ 体重:49gk 🎂 年龄:19 👙 罩杯:B+ 💰 价格:600 /P (40分钟)1200 /PP(80分钟) #6/12 夜 :2600 🔡时长:8小时 🎯 服务标签:#舌吻 #69 #kiss #洗吹做 #陪浴 #制服丝袜 🔡 个人介绍: @xiaomin86 双向:@yghkogdzau_bot 频道: https://t.me/xiaomin8…

16 Oct 2026, 16:47 UTC142 views2 reactionsread 17 October 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🥰 花名: #桐桐 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#普陀 🏠 场地:小区 ⬆️ 身高:175cm ⚖️ 体重:52kg 🎂 年龄:08 👙 罩杯:B 💰 价格:1200 /P (45分钟)2000 /PP(80分钟) #12/20 夜 : 🔡时长: 🎯 服务标签:#舌吻 #69 #kiss #洗吹做 #陪浴 #制服丝袜 🔡 个人介绍: @tong8577 双向:@happyq99bot 频道: https://t.me/+cLiK7dNquu8yYzAx (老师简介)

❤2

16 Oct 2026, 05:04 UTC183 viewsread 16 October 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🥰 花名: #豆豆 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#徐汇 🏠 场地:嘉汇国际广场A栋 ⬆️ 身高:165cm ⚖️ 体重:52kg 🎂 年龄:99 👙 罩杯:C+ 💰 价格:599 /A套餐 (60分钟)799 /B套餐(80分钟) #6/8 🔡 个人介绍: @drever_Shaman 双向:@Minyan117799_bot 频道:https://t.me/+LFplQsKVay1lYzVk (老师简介) 🌈擅长手法:抓龙筋,柔式,玉足挑逗, 情景互动,魅舞 🌷魅力点:开朗,风趣,温柔 🌷风格:温柔治愈,可御可…

16 Oct 2026, 03:22 UTC502 viewsread 16 October 2026
Photo

📊 1条车评,综合分 9.5 好评 100% | 人照 9.0 | 服务 10.0 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 10.0 | 环境 9.0 👆 【点击查看评价】 🥰 花名: #沪E大奶 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#闵行 🏠 场地:小区 ⬆️ 身高:163cm ⚖️ 体重:46kg 🎂 年龄:27 👙 罩杯:E 💰 价格:700 /P (50分钟)1300 /PP(90分钟) #7/13 夜 :3000 🔡时长:晚10点到早9点 🎯 服务标签:#舌吻 #69 #kiss #洗吹做 #陪浴 #制服丝袜 🔡 个人介绍: @huyidanai888 双向:@D1naibot 频道: https://t.me/Ddanai…

15 Oct 2026, 06:59 UTC211 viewsread 16 October 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🥰 花名: #小琪 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#浦东 🏠 场地:小区 ⬆️ 身高:166cm ⚖️ 体重:45kg 🎂 年龄:08 👙 罩杯:B 💰 价格:1000 /P (40分钟)1700 /PP(80分钟) #10/17 夜 : 🔡时长: 🎯 服务标签:#舌吻 #69 #kiss #洗吹做 #调情 #制服丝袜 🔡 个人介绍:@xiao00qi 双向:@klxiaoqi_bot 频道: https://t.me/DCTxiaoqi (老师简介) 女友感,粘人乖顺,健谈不冷场,好相…

15 Oct 2026, 03:27 UTC633 viewsread 16 October 2026
Photo

📊 6条车评,综合分 8.6 好评 83% | 人照 8.2 | 服务 9.5 中评 17% | 颜值 7.7 | 态度 9.5 差评 0% | 身材 8.0 | 环境 8.7 👆 【点击查看评价】 🥰 花名: #贝贝 ✅ 状态:🟢 已验证 📍 地区位置: #长宁 🏠 场地:小区 ⬆️ 身高:165 ⚖️ 体重:102 🎂 年龄:28 👙 罩杯:36E 💰 价格: 700 /P (40分钟)1200 /PP(80分钟) #7/12 夜 :3000 🔡时长:8小时 不限次 🎯 服务标签:#洗吹做 #69 #毒龙 #鸳鸯浴 #服务型御姐 🔡 个人介绍:@bei5522【约课报修车协会】 双向:@yueyueuubot 频道:https://t.me/beibe8899 (老师简介)温柔🐻大

13 Oct 2026, 12:56 UTC273 viewsread 15 October 2026
Photo

📊 7条车评,综合分 9.1 好评 100% | 人照 8.9 | 服务 9.2 中评 0% | 颜值 8.9 | 态度 9.4 差评 0% | 身材 9.1 | 环境 8.8 👆 【点击查看评价】 🥰 花名: #静静 ✅ 状态:🟢 已验证 📍 地区位置:#长宁 🏠 场地:小区 ⬆️ 身高:167cm ⚖️ 体重:48gk 🎂 年龄:06 👙 罩杯:C 💰 价格:900 /P (45分钟)1600 /PP(90分钟) #9/16 夜 : 🔡时长: 🎯 服务标签:#制服丝袜 #69 #🐍吻 #鸳鸯浴 #嫩妹 🔡 个人介绍: @Cnjingjing【约课报修车协会】 双向:@cnjingjingbot 频道: https://t.me/+i196KsxYuyJjODRl (老师简介…

13 Oct 2026, 06:57 UTC569 views1 reactionsread 15 October 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🥰 花名: #小少妇糖糖 ✅ 状态:🟢 已验证 /【视频验证】 📍 地区位置:#浦东 🏠 场地:小区 ⬆️ 身高:168cm ⚖️ 体重:52kg 🎂 年龄:98 👙 罩罩:E 💰 价格:700 /P (45分钟)1200 /PP(90分钟) #7/12 夜 :2500 🔡时长:晚11点30到早9点 🎯 服务标签:#舌吻 #69 #毒龙 #洗吹做 #陪浴 #制服丝袜 🔡 个人介绍: @tangtangaiwo 双向:@tangtangaiwo 频道: https://t.me/tt1314ya (老师简介) …

❤1

Showing the 12 most recent of 206 posts we hold for @SHYLBD0. 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

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 26 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“上海娱乐榜【探花联盟】” (@SHYLBD0), 30,318 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/SHYLBD0.

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.