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Channel

上海修车选妃榜单【杏花楼】

@SHXHLXF

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

14,532subscribers

+8,291 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-1002884000327
TypeChannel
Username@SHXHLXF
Description欢迎您的订阅! 本频道持续更新,服务广大老师及合作推广商家,普惠方便大众狼友! 上海【杏花楼】修车交流群: @lvmao_4 上海出击报告【杏花楼】: @xinghualoubaogao 上海出击雷暴【杏花楼】: @xinghualouleibao 上榜/报告/推广联系杏花楼主: @xinghualouzhu 楼主双向机器人: @xinghualouzhu_bot 上海【杏花楼】备用群(防失联): https://t.me/+PyvhiMTTtONjOGE1
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held42
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/SHXHLXF

Topic

Adult — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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.

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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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
@xinghualoubaogao/2152 Aug 2026, 06:30 UTC@SHXHLXF/1243 · this entry2 Aug 2026, 06:30 UTC1.00under a minute
@xinghualoubaogao/2182 Aug 2026, 11:13 UTC@SHXHLXF/1244 · this entry2 Aug 2026, 11:13 UTC1.00under a minute
@xinghualoubaogao/2195 Aug 2026, 07:01 UTC@SHXHLXF/1257 · this entry5 Aug 2026, 07:01 UTC1.00under a minute
@xinghualoubaogao/2205 Aug 2026, 07:26 UTC@SHXHLXF/1258 · this entry5 Aug 2026, 07:26 UTC1.00under a minute
@xinghualoubaogao/2217 Aug 2026, 07:00 UTC@SHXHLXF/1259 · this entry7 Aug 2026, 07:00 UTC1.00under a minute
@xinghualoubaogao/29231 Oct 2026, 14:00 UTC@SHXHLXF/1589 · this entry31 Oct 2026, 14:00 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xinghualoubaogao12 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (7–5)

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. 3 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 23 comparable posts for this entry, running 1 August 2026 to 11 November 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @SHXHLXF — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 12 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

4,37614,5429,4596 August 2026 — 6,241 subscribers7 August 2026 — 6,253 subscribers10 August 2026 — 6,241 subscribers13 August 2026 — 6,256 subscribers16 August 2026 — 6,259 subscribers19 August 2026 — 6,175 subscribers23 August 2026 — 5,956 subscribers26 August 2026 — 5,833 subscribers28 August 2026 — 5,739 subscribers1 September 2026 — 5,627 subscribers4 September 2026 — 5,532 subscribers9 September 2026 — 5,389 subscribers13 September 2026 — 5,259 subscribers17 September 2026 — 5,150 subscribers26 September 2026 — 4,876 subscribers5 October 2026 — 4,920 subscribers11 October 2026 — 4,950 subscribers14 October 2026 — 4,376 subscribers17 October 2026 — 14,423 subscribers18 October 2026 — 14,455 subscribers19 October 2026 — 14,459 subscribers20 October 2026 — 14,451 subscribers22 October 2026 — 14,456 subscribers23 October 2026 — 14,462 subscribers24 October 2026 — 14,470 subscribers25 October 2026 — 14,484 subscribers26 October 2026 — 14,488 subscribers27 October 2026 — 14,491 subscribers28 October 2026 — 14,502 subscribers29 October 2026 — 14,505 subscribers30 October 2026 — 14,504 subscribers31 October 2026 — 14,502 subscribers1 November 2026 — 14,516 subscribers2 November 2026 — 14,508 subscribers3 November 2026 — 14,522 subscribers4 November 2026 — 14,528 subscribers5 November 2026 — 14,534 subscribers6 November 2026 — 14,542 subscribers7 November 2026 — 14,534 subscribers8 November 2026 — 14,530 subscribers10 November 2026 — 14,528 subscribers12 November 2026 — 14,532 subscribers14,5326 August 202612 November 2026
42 measurements spanning 98 days, net +8,291. 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 2,851–16,067 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)SubscribersChange
12 Nov 2026, 12:4914,532+4
10 Nov 2026, 08:1014,528-2
8 Nov 2026, 18:3014,530-4
7 Nov 2026, 10:5914,534-8
6 Nov 2026, 08:0714,542+8
5 Nov 2026, 07:1614,534+6
4 Nov 2026, 08:5514,528+6
3 Nov 2026, 05:3114,522+14
2 Nov 2026, 04:0014,508-8
1 Nov 2026, 04:0914,516+14
31 Oct 2026, 03:4014,502-2
30 Oct 2026, 05:5714,504-1
29 Oct 2026, 08:5514,505+3
28 Oct 2026, 07:2014,502+11
27 Oct 2026, 08:0514,491+3
26 Oct 2026, 04:4814,488+4
25 Oct 2026, 03:1814,484+14
24 Oct 2026, 04:4914,470+8
23 Oct 2026, 02:3014,462+6
22 Oct 2026, 00:3114,456first reading

Engagement

25 posts held, back to 1 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 30 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.12%
avg views ÷ 14,532 subscribers
Avg views / post
163
14 posts measured
Reaction rate
0.483%
reactions ÷ views · ER floor
Posts in window
14
of 25 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 1 of 14 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 13 November 2026
Posts held25 (1 August 2026 – 13 November 2026)
Views total2,279
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 07:43 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
453
Videos
97
Links
205

Lifetime counters from Telegram’s own channel header, read 13 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
1m 37s
Average length
10s

Measured directly from 10 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

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4100.0%

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 4 of the 25 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 1 August 2026 to 13 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: 0 of 14 posts held from the last 30 days (0%) 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).

13 Nov 2026, 05:24 UTC26 viewsread 13 November 2026
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【花名】 娇娇 【位置】 #浦东 【电报】 @shjjioajiao 【频道】 @shjjioajiaopd 【课费】 6P/50分 12PP/90分 【标签】 #新人御姐 #颜值系 #E杯 #服务系 #会所出身 #六九 #舌吻 #大长腿 #肤白嫩美 #态度热情 #姿势配合 #性价比 【出击报告参考】: 👀榜单老师验证视频已通过 👀狼友可放心出击 —————————————— 👉 回到【导航】 👉 上海出击报告【杏花楼】 👉 上海出击雷暴【杏花楼】 👉 上海【杏花楼】修车交流群 👉 上海修车【杏花楼】备用群 上榜/报告/推广/合作👉 杏花楼主

13 Nov 2026, 05:24 UTC19 viewsread 13 November 2026
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【花名】 诗玥 【位置】 #普陀 【电报】 @xiwen999888 【频道】 @xiwen0808 【课费】 7P/45分 13PP/90分 【标签】 #新人御姐 #颜值系 #服务系 #舌吻 #六九 #性价比 #美臀玉足 #性格温柔体贴 #态度热情 #姿势高度配合 #情绪价值高 【出击报告参考】: 👀榜单老师验证视频已通过 👀狼友可放心出击 —————————————— 👉 回到【导航】 👉 上海出击报告【杏花楼】 👉 上海出击雷暴【杏花楼】 👉 上海【杏花楼】修车交流群 👉 上海修车【杏花楼】备用群 上榜/报告/推广/合作👉 杏花楼主

11 Nov 2026, 11:44 UTC98 viewsread 13 November 2026
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11 Nov 2026, 05:23 UTC94 viewsread 13 November 2026
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【花名】 菲菲 【位置】 #浦东 【电报】 @xiaoyao_5 【频道】 @xiaoyao_h 【课费】 8P/50分 15PP/90分 【标签】 #新人嫩妹 #颜值系 #天然D熊 #服务系 #六九 #舌吻 #性价比 #美臀玉足 #身材好 #温柔体贴 #清纯可爱 #敏感水多 #女友感 #态度热情 #姿势高度配合 #情绪价值高 【出击报告参考】: 👀榜单老师验证视频已通过 👀狼友可放心出击 —————————————— 👉 回到【导航】 👉 上海出击报告【杏花楼】 👉 上海出击雷暴【杏花楼】 👉 上海【杏花楼】修车交流群 👉 上海修车【杏花楼】备用群 上榜/报告/推广/合作👉 杏花楼主

11 Nov 2026, 05:18 UTC90 viewsread 13 November 2026
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【花名】欢欢 【位置】#浦东 【电报】 @huanhuan_521 【频道】 @huanhuan12_78 【课费】600P/50分 1200PP/90分 【标签】 #新人甜妹 #颜值系 #服务系 #六九 #舌吻 #性价比 #娇小 #乖巧可爱 #性格好 #皮肤雪白 #温柔体贴 #清纯可爱 #敏感水多 #女友感 #态度热情 #姿势高度配合 #情绪价值高 【出击报告参考】: 【出击报告01】 【出击报告02】 【出击报告03】 👀榜单老师验证视频已通过 👀狼友可放心出击 —————————————— 👉 回到【导航】 👉 上海出击报告【杏花楼】 👉 上海出击雷暴【杏花楼】 👉 上海【杏花楼】修车交流群 👉 上海修车【杏花楼】备用群 上榜/报告/推广/合作👉 杏花楼主

6 Nov 2026, 05:01 UTC209 viewsread 12 November 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179368176412 🎰 浦东小艺联合【杏花楼】派送🧧现金红包福利抽奖活动 ⚠️ 抽奖说明: 1、关注老师频道 2、发言达标勿刷屏! 💁 参与情况:13达标 / 23报名 🎅 联系领奖:@xiaoyi746 1. 我勒个 骚瑞 奖品:🧧现金红包 18.8 元 2. 彭鱼晏 奖品:🧧现金红包 18.8 元 祝大家心想事成好运连连!

3 Nov 2026, 05:02 UTC251 viewsread 12 November 2026
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3 Nov 2026, 03:43 UTC207 views1 reactionsread 12 November 2026
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【花名】小艺 【位置】#浦东 【电报】 @xiaoyi746 【频道】 @xiaoyi3343 【课费】600P/50分 1200PP/90分 【标签】 #御姐 #颜值系 #服务系 #长腿 #舌吻 #性价比 #美臀玉足 #天然D #性格开朗活泼 #身材好 #肤白嫩美 #温柔体贴 #清纯可爱 #敏感水多 #女友感 #态度热情 #姿势高度配合 #情绪价值高 【出击报告参考】: 【出击报告01】 【出击报告02】 【出击报告03】 【出击报告04】 【出击报告05】 【出击报告06】 【出击报告07】 【出击报告08】 【出击报告09】 【出击报告10】 【出击报告11】 👀榜单老师验证视频已通过 👀狼友可放心出击 —————————————— 👉 回到【导航】 👉 上海出击报告【杏花楼】 👉 上海出击雷暴【杏花楼】 👉 上海【杏花楼】修车交流群 👉 上海修车【杏花楼】备用群 上榜/报告/推广/合作👉 杏花楼主

❤1

1 Nov 2026, 21:26 UTC206 viewsread 10 November 2026
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🎉 【杏花楼】🌸白嫖福利抽奖活动 🎁 奖品清单 • 【白嫖券】P福利 × 1 🛡️ 参与条件 • 加入 上海【杏花楼】修车交流群 • 加入 上海出击报告【杏花楼】 • 加入 上海修车选妃榜单【杏花楼】 • 需消耗花币:5000 • 参加抽奖后需在 上海【杏花楼】修车交流群 内发言100次 └ 群内发送“抽奖进度”查看完成度(每日限5次) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:5000花币 • 祝福上限:无上限次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-11-30 22:00:00 📜 抽奖说明 1、使用花币参加群内【白嫖券福利】抽奖 2、每张抽奖券消耗 5000 花币 3、可使用花币开启多次祝福提升中奖概率和幸运值 4、白嫖券名额由楼主 @xinghualouzhu 安排出击【杏花楼】榜单老师 5、白嫖券福利出击必须提交出击报告 ———————…

31 Oct 2026, 14:00 UTC177 viewsread 10 November 2026
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✨ 命运揭晓时刻 ✨ 【杏花楼】🌸白嫖福利抽奖活动 开奖了 抽奖人数:22,发言达标人数:21,抽奖号数:266 1. didiaocj【祝福11次】 中得:【白嫖券】P福利 抽奖说明: 1、使用花币参加群内【白嫖券福利】抽奖 2、每张抽奖券消耗 5000 花币 3、可使用花币开启多次祝福提升中奖概率和幸运值 4、白嫖券名额由楼主 @xinghualouzhu 安排出击【杏花楼】榜单老师 5、白嫖券福利出击必须提交出击报告 ———————————— 【温馨提示】:群内输入“积分规则”了解积分(花币)多种获取方式,积极活跃互动发言和参加聊天寻宝活动可加速积分获得,还有🧧红包随机掉落惊喜! 🔍 杜绝黑幕,点击查看本次开奖全程验证

31 Oct 2026, 11:35 UTC176 viewsread 10 November 2026
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【花名】 诗玥 【位置】 #普陀 【电报】 @xiwen999888 【频道】 @xiwen0808 【课费】 7P/45分 13PP/90分 【标签】 #新人御姐 #颜值系 #服务系 #舌吻 #六九 #性价比 #美臀玉足 #性格温柔体贴 #态度热情 #姿势高度配合 #情绪价值高 【出击报告参考】: 👀榜单老师验证视频已通过 👀狼友可放心出击 —————————————— 👉 回到【导航】 👉 上海出击报告【杏花楼】 👉 上海出击雷暴【杏花楼】 👉 上海【杏花楼】修车交流群 👉 上海修车【杏花楼】备用群 上榜/报告/推广/合作👉 杏花楼主

29 Oct 2026, 09:42 UTC222 viewsread 10 November 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179300762280 🎰 🌸浦东笑笑 联合上海【杏花楼】派送🎟通用半价工兵券(工兵价300P/600PP)福利名额抽奖活动 ⚠️ 抽奖说明: 要求在开奖后1天内截图中奖联系老师 @xiaoxiao_61 约课 要求在 7 天内安排出击或转让,特殊情况报楼主回收活动券 要求在完成出击后2天内提交出击报告给楼主:@xinghualouzhu 💁 参与情况:8达标 / 18报名 🎅 联系领奖:@xiaoxiao_61 1. Dr 奖品:浦东笑笑通用半价工兵券(工兵价300P/600PP) 2. 烧饼 sama 奖品:浦东笑笑通用半价工兵券(工兵价300P/600PP) 3. 万 科 奖品:浦东笑笑通用半价工兵券(工兵价300P/600PP) 祝大家心想事成好运连连!

Showing the 12 most recent of 25 posts we hold for @SHXHLXF. 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.

Mentions

Named by 18 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 November 2026 — this entry's latest reading, not the date you are reading this.

“上海修车选妃榜单【杏花楼】” (@SHXHLXF), 14,532 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/SHXHLXF.

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.