Telegram RegisterThe public register of Telegram

Channel

上海出击报告【美团大队】

@meituanbaogao

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

26,238subscribers

+19 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-1002544069373
TypeChannel
Username@meituanbaogao
Description欢迎您的订阅! 本频道持续更新,服务大众狼友! 【美团大队】口号👉和谐交流👉素质出击👉向快乐出发🤟 交流群: @shmtdd 选妃频道: @SHMTXF 美团广告群: https://t.me/+Yazkjtn5MxpjMWFl 美团福利: @SHFLMTDD 出击雷暴: @meituanlb 上榜联系美团站长: @meituanzhanzhang
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/meituanbaogao

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@SHFLMTDD/4042 Aug 2026, 10:54 UTC@meituanbaogao/3123 · this entry2 Aug 2026, 10:54 UTC1.00under a minute
@SHFLMTDD/4073 Aug 2026, 06:27 UTC@meituanbaogao/3128 · this entry3 Aug 2026, 06:27 UTC1.00under a minute
@SHFLMTDD/4083 Aug 2026, 06:30 UTC@meituanbaogao/3129 · this entry3 Aug 2026, 06:30 UTC1.00under a minute
@SHFLMTDD/4093 Aug 2026, 14:53 UTC@meituanbaogao/3130 · this entry3 Aug 2026, 14:53 UTC1.00under a minute
@meituanbaogao/3131 · this entry4 Aug 2026, 04:00 UTC@SHFLMTDD/4104 Aug 2026, 04:00 UTC1.00under a minute
@SHFLMTDD/4124 Aug 2026, 16:23 UTC@meituanbaogao/3133 · this entry4 Aug 2026, 16:23 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@SHFLMTDD10 (8/8 hand-verifiable sample passed)1.00under a minuteeven

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 5 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 22 comparable posts for this entry, running 2 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @SHFLMTDD. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

26,21526,23826,226.56 August 2026 — 26,219 subscribers7 August 2026 — 26,216 subscribers8 August 2026 — 26,215 subscribers9 August 2026 — 26,219 subscribers10 August 2026 — 26,232 subscribers11 August 2026 — 26,228 subscribers12 August 2026 — 26,238 subscribers6 August 202612 August 2026
7 measurements spanning 5 days, net +19. 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 26,212–26,241 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:2326,238+10
11 Aug 2026, 00:5226,228-4
10 Aug 2026, 03:5226,232+13
9 Aug 2026, 05:0726,219+4
8 Aug 2026, 06:2226,215-1
7 Aug 2026, 06:4626,216-3
6 Aug 2026, 20:1826,219first reading

Engagement

35 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.933%
avg views ÷ 26,238 subscribers
Avg views / post
245
35 posts measured
Reaction rate
0.328%
reactions ÷ views · ER floor
Posts in window
35
of 35 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 3 of 35 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 12 August 2026
Posts held35 (2 August 202612 August 2026)
Views total8,565
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 22:14 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
1,620
Videos
1,390
Links
1,890

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 18s
Average length
13s

Measured directly from 6 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 3 of the 35 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 2 August 2026 to 12 August 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

12 Aug 2026, 09:26 UTC64 viewsread 12 August 2026
Photo

🎰 🔥浦东小九派送🎟通用半价工兵券福利名额抽奖活动🎁 📮 参与条件: 🎫 加入-浦东金桥小九的频道(可外出) 🎫 加入-上海福利频道【美团大队】 🎫 加入-上海修车【美团大队】(广告群) 🎫 加入-上海修车交流群【美团大队】 └ 🎟️ 发言数大于 38 条 🎫 加入-上海出击报告【美团大队】 🎫 加入-上海修车选妃频道【美团大队】 🎁 奖品内容: 💰️ 浦东小九🎟通用半价工兵券 × 1 ⚠️ 抽奖说明: 1、关注活动指定的群组和频道 2、群里发言达标 38 条(每天6字以上禁刷屏) 3、本次活动福利🎟通用半价工兵券(工兵价400P/800PP) 4、中奖者要求开奖后 7 天内完成约课和出击(或转让) 5、本次优惠活动为工兵报告券活动,完成出击后24小时内提交出击报告 6、中奖后24小时内联系老师 @xiaojiu25_r 中奖截图约课 ———————————— ❗️特别提示❗️ 活动要求说明:凡活动名额未按要求按时

12 Aug 2026, 03:25 UTC237 views1 reactionsread 12 August 2026
Photo

上海修车出击报告【美团大队】 【综合评价分】: 8.5 【身材形象分】: 8.5 【服务态度分】: 8.5 【情绪价值分】: 8.5 ————————— 【学生留名】: Goweh Wong 【验证时间】: 2026年 【老师艺名】: 汤圆 【城市坐标】: 上海 【上课花费】: 1100pp(中了特价) 【服务内容】: 口 舔 做三件套 【出击课程体验描述】: 久过的阴雨天,心里心中早已按捺不住,没想到还中了特价。果断次日就去出击。打了个车从家到宝山。老师指导如何上楼 说是留了门。我心急的上了楼 敲门后推门而入。老师第一感觉挺良家的。 于是就寒暄两句 进入正题。本人FW 123第一发。第一发结束跟老师小小聊了一会儿 就休息放空了。过了没多久开开始第二发。 后面后入大概15分钟左右结束。开溜回家睡觉。 缺点:老师话少,但是我就喜欢话少的妹妹。下次我争取再接再厉。 ————————— 【老师联系方式】: @yyt890

1

11 Aug 2026, 16:39 UTC99 viewsread 12 August 2026
Photo

🎟 抽奖标题: 🧧【美团大队】群友活跃发言赢取🧧现金红包福利抽奖活动🧧 鼓励修车交流积极发言互动交流分享,🈲🚫严禁机器人发言和无意义刷屏➡️和谐交流➡️素质出击➡️向快乐出发 消耗积分: 500 积分 定时开奖 2026-08-12 23:00:00 参与关键词: 红包抽奖 已参与: 23人 🎁 奖品列表: 🧧现金红包 18 元 X 5 「乐透抽奖」 每消耗 500 积分 兑换一张乐透券 🎟 可多次参与抽奖提高中奖率 🎉 参与要求: ➕加入 - 上海福利频道【美团大队】 ➕加入 - 上海出击报告【美团大队】 ➕加入 - 上海修车选妃频道【美团大队】 ➕加入 - 上海修车【美团大队】(广告群) ➕加入 - 上海修车交流群【美团大队】 └ 💬 发言数大于 100 条 💡必须设置用户名

10 Aug 2026, 16:52 UTC161 viewsread 12 August 2026
Photo

🎟 抽奖标题: 🔥上海【美团】群友活跃发言100 奖励 1000 积分抽奖活动 【参加方式】➡️群内发送“积分抽奖” 在回复的抽奖活动信息下方点击➡️“参与抽奖”⬅️按钮 ➡️群内活跃发言满 100 条(每条6字以上) 🔥【获取更多积分赢取白嫖福利】 ———————————— ➡️和谐交流➡️素质出击➡️向快乐出发 定时开奖 2026-08-11 23:00:00 参与关键词: 积分抽奖 已参与: 9人 🎁 奖品列表: 奖励 1000 积分 X 5 参与要求: ➕加入 - 上海福利频道【美团大队】 ➕加入 - 上海出击报告【美团大队】 ➕加入 - 上海修车选妃频道【美团大队】 ➕加入 - 上海修车【美团大队】(广告群) ➕加入 - 上海修车交流群【美团大队】 └ 💬 发言数大于 100 条 💡必须设置用户名

10 Aug 2026, 14:30 UTC157 viewsread 12 August 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178620318924 🎰 🔥普陀汤圆派送🎟通用六折工兵券福利名额抽奖活动🎁 ⚠️ 抽奖说明: 1、关注活动指定的群组和频道 2、群里发言达标 38 条(每天6字以上禁刷屏) 3、本次活动福利🎟通用六折工兵券(工兵价600P/1100PP) 2、中奖者要求开奖后 7 天内完成约课和出击(或转让) 3、本次优惠活动为工兵报告券活动,完成出击后24小时内提交出击报告 4、中奖后24小时内联系老师 @yyt8901 中奖截图约课 ———————————— ❗️特别提示❗️ 活动要求说明:凡活动名额未按要求按时约课完成出击(或转让)和提交报告的取消三个月🈲参加活动资格 ➡️和谐交流➡️素质出击➡️向快乐出发 💁 参与情况:3达标 / 9报名 🎅 联系领奖:@yyt8901 1. Goweh Wong 奖品:普陀汤圆🎟通用六折工兵券 祝大家心想事成好运连连!

9 Aug 2026, 22:50 UTC191 viewsread 12 August 2026
Photo

🎟 抽奖标题: 🧧【美团大队】群友活跃发言赢取🧧现金红包福利抽奖活动🧧 鼓励修车交流积极发言互动交流分享,🈲🚫严禁机器人发言和无意义刷屏➡️和谐交流➡️素质出击➡️向快乐出发 消耗积分: 500 积分 定时开奖 2026-08-10 23:00:00 参与关键词: 红包抽奖 已参与: 19人 🎁 奖品列表: 🧧现金红包 18 元 X 5 「乐透抽奖」 每消耗 500 积分 兑换一张乐透券 🎟 可多次参与抽奖提高中奖率 🎉 参与要求: ➕加入 - 上海福利频道【美团大队】 ➕加入 - 上海出击报告【美团大队】 ➕加入 - 上海修车选妃频道【美团大队】 ➕加入 - 上海修车【美团大队】(广告群) ➕加入 - 上海修车交流群【美团大队】 └ 💬 发言数大于 100 条 💡必须设置用户名

9 Aug 2026, 14:15 UTC177 viewsread 12 August 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178608981687 🎰 🔥嘉定沐沐派送🎟通用300优惠券福利名额抽奖活动🎁 ⚠️ 抽奖说明: 1、关注活动指定的群组和频道 2、先点参加活动,然后在群里发口令:我要沐沐优惠券 3、本次活动福利为🎟通用300优惠券(活动价700P/1500PP) 4、中奖者要求开奖后 7 天内完成约课和出击(或转让) 5、本次优惠活动为工兵报告券活动,完成出击后24小时内提交出击报告 6、中奖后24小时内联系老师 @mumua01 中奖截图约课 ———————————— ❗️特别提示❗️ 活动要求说明:凡活动名额未按要求按时约课完成出击(或转让)和提交报告的取消三个月🈲参加活动资格 ———————————— ➡️和谐交流➡️素质出击➡️向快乐出发 💁 参与情况:5达标 / 7报名 🎅 联系领奖:@mumua01 1. 抄 家伙 奖品:嘉定沐沐🎟通用300优惠券福利名额 2. fre

9 Aug 2026, 10:55 UTC169 viewsread 12 August 2026
Photo

上海修车出击报告【美团大队】 【综合评价分】:10 【身材形象分】:10 【服务态度分】:10 【情绪价值分】:10 ————————— 【学生留名】:嘻嘻不嘻嘻 【验证时间】:8.9 【老师艺名】:小猫咪 【城市坐标】:静安 【上课花费】:包时 【服务内容】:课表都有 ————————— 【出击课程体验描述】:是我喜欢的大🐻萝莉类型 之前就看到过猫咪老师其他地方报告了,一直在外地就这样每天问候聊了半个月,趁着这次工作不忙,一个小时的高铁终于见到心意猫咪老师了,她说喜欢下雨天闪电,我于是化身一道闪电哥只奔猫猫,房间是粉色系公主风,坐在那里呆呆的很可爱,嫩妹型,聊天很健谈没有丝毫的风尘气息,本人和照片差距不大,笑起来很可爱,比较热情知道我没吃饭,在我不知道的情况下提前给我点了外卖,吃完后一起窝着帮我按按头按按肩膀,很舒服,她说帮我摸摸着摸着bui 出来了,人如其名的闪电哥,等休息的差不多了去洗澡,帮我擦干身子后,在床上又抱着聊了

9 Aug 2026, 05:33 UTC178 viewsread 12 August 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178616661933 🎰 🔥徐汇果果联合【美团大队】 派送P优惠200券【美团团购】联系站长领取福利名额活动🎁 ⚠️ 抽奖说明: 1、关注优惠福利活动的群组和频道 2、群里输入指令参加:我要果果优惠券 3、本次限量优惠直减P优惠200券(活动价700P)福利【美团团购】抢购活动 4、本次优惠券直接联系站长 @meituanzhanzhang 领取后联系老师 @Ssguoguo 约课 5、完成出击后24小时内提交出击报告可享积分奖励 ———————————— ➡️和谐交流➡️素质出击➡️向快乐出发 💁 参与情况:4达标 / 5报名 🎅 联系领奖:@Ssguoguo 1. Interstate 奖品:徐汇果果P优惠200券 2. Relaxin 奖品:徐汇果果P优惠200券 3. 柳永 奖品:徐汇果果P优惠200券 4. QiaoDan Z 奖品:徐汇果果P优惠200券

9 Aug 2026, 04:23 UTC156 viewsread 12 August 2026
Photo

🎰 🔥普陀汤圆派送🎟通用六折工兵券福利名额抽奖活动🎁 📮 参与条件: 🎫 加入-汤圆后花园 🎫 加入-上海福利频道【美团大队】 🎫 加入-上海修车【美团大队】(广告群) 🎫 加入-上海修车交流群【美团大队】 └ 🎟️ 发言数大于 38 条 🎫 加入-上海出击报告【美团大队】 🎫 加入-上海修车选妃频道【美团大队】 🎁 奖品内容: 💰️ 普陀汤圆🎟通用六折工兵券 × 1 ⚠️ 抽奖说明: 1、关注活动指定的群组和频道 2、群里发言达标 38 条(每天6字以上禁刷屏) 3、本次活动福利🎟通用六折工兵券(工兵价600P/1100PP) 2、中奖者要求开奖后 7 天内完成约课和出击(或转让) 3、本次优惠活动为工兵报告券活动,完成出击后24小时内提交出击报告 4、中奖后24小时内联系老师 @yyt8901 中奖截图约课 ———————————— ❗️特别提示❗️ 活动要求说明:凡活动名额未按要求按时约课完成出击(或转让)和

8 Aug 2026, 16:03 UTC170 viewsread 12 August 2026
Photo

🎟 抽奖标题: 🔥上海【美团】群友活跃发言100 奖励 1000 积分抽奖活动 【参加方式】➡️群内发送“积分抽奖” 在回复的抽奖活动信息下方点击➡️“参与抽奖”⬅️按钮 ➡️群内活跃发言满 100 条(每条6字以上) 🔥【获取更多积分赢取白嫖福利】 ———————————— ➡️和谐交流➡️素质出击➡️向快乐出发 定时开奖 2026-08-09 23:00:00 参与关键词: 积分抽奖 已参与: 10人 🎁 奖品列表: 奖励 1000 积分 X 5 参与要求: ➕加入 - 上海福利频道【美团大队】 ➕加入 - 上海出击报告【美团大队】 ➕加入 - 上海修车选妃频道【美团大队】 ➕加入 - 上海修车【美团大队】(广告群) ➕加入 - 上海修车交流群【美团大队】 └ 💬 发言数大于 100 条 💡必须设置用户名

8 Aug 2026, 08:24 UTC451 views1 reactionsread 12 August 2026
Photo

上海修车出击报告【美团大队】 【综合评价分】:10 【身材形象分】:9.5 【服务态度分】:10 【情绪价值分】:10 ————————— 【学生留名】:李李 【验证时间】:8.7 【老师艺名】:妍妍 【城市坐标】:嘉定江桥 【上课花费】:P 【服务内容】:课表服务全都有 ————————— 【出击课程体验描述】: 【颜值身材】BBW c胸 【服务态度】主动热情态度好 【优点缺点】性价比高,但是科室比较偏,出击不便 【体验细节】 老师工作室在嘉定万达旁边小区,安全性很高。遥控上楼,发现老师真人比照片漂亮太多了,老师不大会拍照。喜欢御姐服务系老师的可以直接cj。挺漂亮的,皮肤很好,课表服务都有也很用心,口活很好服务到位。情绪价值拉满。三刷老师了 总结:妍妍美老师这性价比全上海无出其右,附近的兄弟可以冲。 ————————— 【老师联系方式】:@muamua03 ➡️ 美团选妃榜单【导航】 ➡️ 美团福利频道【导航】 ➡️【美

1

Showing the 12 most recent of 35 posts we hold for @meituanbaogao. 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

@meituanbaogao edited 5 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
8 August 2026
Most recent edit
12 August 2026

Citation-graph rank

Citation-graph rank — 177,174 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 7 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“上海出击报告【美团大队】” (@meituanbaogao), 26,238 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/meituanbaogao.

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.