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Channel

【长沙蟹堡王】长沙公开榜

@CSXBWGKB

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

40,749subscribers

+1,329 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002431871520
TypeChannel
Username@CSXBWGKB
Description集长沙优质资源于一体 每月发放定时福利 免费提供长沙优质个人楼风修车优质资源。 无门槛,无费用,无套路,多分享,多交流 聊天群: @cs_xiebao 红人馆: @XBWhrg 反馈榜: @xiebaowanfankui 黑车榜: @CSheiche 上榜反馈唯一管理: @xiebaobot
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/CSXBWGKB

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 68% 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

39,42040,74940,084.57 August 2026 — 39,420 subscribers8 August 2026 — 39,431 subscribers9 August 2026 — 39,488 subscribers10 August 2026 — 39,531 subscribers11 August 2026 — 39,559 subscribers12 August 2026 — 39,590 subscribers13 August 2026 — 39,625 subscribers14 August 2026 — 39,666 subscribers16 August 2026 — 39,691 subscribers17 August 2026 — 39,760 subscribers18 August 2026 — 39,764 subscribers19 August 2026 — 39,787 subscribers20 August 2026 — 39,815 subscribers21 August 2026 — 39,847 subscribers23 August 2026 — 39,865 subscribers24 August 2026 — 39,909 subscribers25 August 2026 — 39,930 subscribers26 August 2026 — 39,956 subscribers27 August 2026 — 39,991 subscribers28 August 2026 — 40,032 subscribers29 August 2026 — 40,094 subscribers30 August 2026 — 40,156 subscribers31 August 2026 — 40,190 subscribers2 September 2026 — 40,231 subscribers3 September 2026 — 40,276 subscribers4 September 2026 — 40,316 subscribers7 September 2026 — 40,390 subscribers10 September 2026 — 40,533 subscribers12 September 2026 — 40,591 subscribers14 September 2026 — 40,607 subscribers15 September 2026 — 40,654 subscribers18 September 2026 — 40,749 subscribers7 August 202618 September 2026
32 measurements spanning 41 days, net +1,329. 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 39,221–40,948 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 00:1940,749+95
15 Sept 2026, 18:1540,654+47
14 Sept 2026, 02:5740,607+16
12 Sept 2026, 13:3840,591+58
10 Sept 2026, 12:1540,533+143
7 Sept 2026, 10:1540,390+74
4 Sept 2026, 17:5940,316+40
3 Sept 2026, 00:5640,276+45
2 Sept 2026, 00:0640,231+41
31 Aug 2026, 21:0640,190+34
30 Aug 2026, 17:3440,156+62
29 Aug 2026, 18:4340,094+62
28 Aug 2026, 21:3640,032+41
27 Aug 2026, 23:2339,991+35
26 Aug 2026, 23:4839,956+26
25 Aug 2026, 22:1239,930+21
24 Aug 2026, 19:2539,909+44
23 Aug 2026, 03:1639,865+18
21 Aug 2026, 17:0839,847+32
20 Aug 2026, 15:0239,815first reading

Engagement

298 posts held, back to 7 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 96 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.44%
avg views ÷ 40,749 subscribers
Avg views / post
993
167 posts measured
Reaction rate
20.8%
reactions ÷ views · ER floor
Posts in window
167
of 298 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 134 of 167 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 27 September 2026
Posts held298 (7 August 2026 – 27 September 2026)
Views total165,761
Reactions total29,116
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 12:26 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
≈1,270
Videos
≈249
Links
≈313

Lifetime counters from Telegram’s own channel header, read 27 September 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
33m 02s
Average length
10s

Measured directly from 198 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

29,249 reactions across 195 posts, in 10 distinct kinds. The most used accounts for 20.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5,98720.5%
👍5,89620.2%
😁5,85120.0%
🎉5,79519.8%
🔥5,69919.5%
💩100.034%
👎50.017%
👏20.007%
🤮20.007%
🥰20.007%

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 218 of the 298 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 29,249 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 298 most recent posts we hold, published 7 August 2026 to 27 September 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

27 Sept 2026, 09:38 UTC563 views362 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#大葡萄 【所在位置】:#雨花区 【修车费用】:#400p #700pp 【备 注】:禁止无套,皮肤病 【凶器罩杯】:E 【身高体重】:166cm 70kg 【大概年纪】:25 【服务内容】:无套口 69 舌吻 胸推 调情 深喉 热情 ,各种姿势配合,主动态度好 性格温柔 【联系方式】: @dpyyhqqo 【注 意】:服务过程中出水算一次 不能接受胖和bbw的不要问谢谢🙏 温馨提示:(为了各方安全上课最好带现金) #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

👍83🎉76😁71🔥67❤65

27 Sept 2026, 08:12 UTC749 views237 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#可欣 【所在位置】:#雨花区 【修车费用】:#600P 【备 注】: 【凶器罩杯】:C 【身高体重】:167cm 50kg 【大概年纪】:20 【服务内容】:#舌吻 #69 【联系方式】:@KkxXnob 【注 意】: #禁收定金和没见人就给课费 ✏️️撰写报告 | 🔖报告投稿

👍59😁53🔥46🎉40❤39

27 Sept 2026, 07:42 UTC807 views293 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#小依晨 【所在位置】:#雨花区 【修车费用】:#600p #1100pp 【备 注】:上课带现金哦 【凶器罩杯】:c+ 【身高体重】:165cm 54 kg 【大概年纪】:24 【服务内容】:#鸳鸯浴 #舌吻 #69 #情趣丝袜 #制服诱惑 #胸推 #臀推 【联系方式】:@xyc1655 【注 意】:上课带现金 #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

🔥65😁61❤60👍55🎉51👎1

27 Sept 2026, 07:06 UTC≈1,290 views387 reactionsread 27 September 2026

岳麓区 #初柒 1号前优惠100 详情领取见频道

❤86👍78🔥78🎉77😁68

27 Sept 2026, 06:42 UTC≈1,240 views282 reactionsread 27 September 2026

雨花区 #悦悦 100优惠卷5张 自行联系老师领取

❤68👍58🎉54🔥51😁51

26 Sept 2026, 11:49 UTC≈2,140 views145 reactionsread 27 September 2026

雨花区 #稳稳 200优惠卷5张 自行联系老师领取 需写真实反馈报告

🎉32🔥30❤28😁28👍27

26 Sept 2026, 10:42 UTC≈2,040 views438 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】: #小尾巴 【所在位置】: #雨花区 【修车费用】: #600p #1100pp 【备 注】: 【凶器罩杯】: B 【身高体重】: 163cm/47kg 【大概年纪】: 22岁 【服务内容】: 舌吻💋 69 陪🛀 水中萧 舔蛋蛋 吃杆杆 🈚️套口 丝袜制服高跟诱惑 女友陪伴 【联系方式】:@xiaoweiba0088 【注 意】:接素质课 #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

🎉100😁95👍88🔥80❤75

26 Sept 2026, 10:36 UTC≈1,050 views214 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#妙妙 【所在位置】:#岳麓区 【修车费用】:#500p /45 分钟 #900p /90 分钟 【备 注】:🈲 酒后,嗑药,🈚️ 套 【凶器罩杯】:f 【身高体重】:158/49 【大概年纪】:26 【服务内容】:#鸳鸯浴,#无套口,#舌吻,#花样指滑,#丝袜制服,多体位配合啪啪 【联系方式】:@miaomiaobb2025 【注 意】: #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

❤52👍51🔥41😁38🎉32

26 Sept 2026, 09:34 UTC≈1,070 views102 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#桃桃子 【所在位置】:#天心区 【修车费用】:#500p 【备 注】:有舌钉,全身符文 【凶器罩杯】:C 【身高体重】:身高164体重138 【大概年纪】:26 【服务内容】:看课表 【联系方式】:@taotaozi1122 【注 意】:🈚69🈚毒龙🈲嗑药🈲喝酒🈲无套 #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

❤32😁20🔥19👍17🎉14

26 Sept 2026, 08:59 UTC≈1,190 views80 reactionsread 27 September 2026

雨花区 #程儿 1号前优惠100 优惠后5-9

🔥22😁16❤14🎉14👍14

26 Sept 2026, 08:17 UTC≈1,200 views145 reactionsread 27 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#芷涵 【所在位置】:#雨花区 【修车费用】:#500p #800pp 【备 注】:🚫无套 🚫拔套 🚫醉酒 🚫磕药 【凶器罩杯】:B杯 【身高体重】:170cm 51kg 【大概年纪】:25 【服务内容】:#口爆 #毒龙 #69 #回笼萧 #十指连心 【联系方式】:@zhihanniu 【注 意】:最好用现金 #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

🔥34❤32🎉27😁27👍25

25 Sept 2026, 16:03 UTC693 views395 reactionsread 25 September 2026
Photo

【点击加入】👉蟹堡王主群👈 【妹子花名】:#瑾瑜 【所在位置】:#雨花区 【修车费用】:#400p #700pp 【备 注】:可三通 【凶器罩杯】:c 【身高体重】:170cm/ 109g 【大概年纪】:28 【服务内容】:#舌吻 #69 #口爆 #三通 【联系方式】:@xtx6886 【注 意】:不许暴力行为 #禁收定金和没见人就给课费 ✏️撰写报告 | 🔖报告投稿

🎉95🔥77😁76👍74❤73

Showing the 12 most recent of 298 posts we hold for @CSXBWGKB. 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

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

“【长沙蟹堡王】长沙公开榜” (@CSXBWGKB), 40,749 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/CSXBWGKB.

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.