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Channel

深圳雷师榜

@szlsbb

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

25,711subscribers

+4,363 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002094277915
TypeChannel
Username@szlsbb
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/szlsbb

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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

21,34825,71123,529.57 August 2026 — 21,348 subscribers7 August 2026 — 21,348 subscribers8 August 2026 — 21,367 subscribers9 August 2026 — 21,407 subscribers10 August 2026 — 21,435 subscribers11 August 2026 — 21,470 subscribers12 August 2026 — 21,490 subscribers12 August 2026 — 21,524 subscribers14 August 2026 — 21,559 subscribers15 August 2026 — 21,629 subscribers17 August 2026 — 21,652 subscribers18 August 2026 — 21,697 subscribers19 August 2026 — 21,726 subscribers20 August 2026 — 21,740 subscribers21 August 2026 — 21,802 subscribers22 August 2026 — 21,906 subscribers24 August 2026 — 21,985 subscribers25 August 2026 — 22,022 subscribers26 August 2026 — 22,119 subscribers27 August 2026 — 22,168 subscribers28 August 2026 — 22,241 subscribers29 August 2026 — 22,284 subscribers30 August 2026 — 22,355 subscribers31 August 2026 — 22,414 subscribers1 September 2026 — 22,449 subscribers2 September 2026 — 22,479 subscribers3 September 2026 — 22,525 subscribers4 September 2026 — 22,560 subscribers8 September 2026 — 22,673 subscribers11 September 2026 — 22,807 subscribers13 September 2026 — 22,884 subscribers14 September 2026 — 22,946 subscribers16 September 2026 — 22,998 subscribers18 September 2026 — 23,083 subscribers2 October 2026 — 24,579 subscribers7 October 2026 — 24,692 subscribers11 October 2026 — 24,794 subscribers14 October 2026 — 24,802 subscribers15 October 2026 — 24,807 subscribers16 October 2026 — 24,839 subscribers17 October 2026 — 24,860 subscribers18 October 2026 — 24,914 subscribers19 October 2026 — 24,961 subscribers20 October 2026 — 25,011 subscribers21 October 2026 — 25,072 subscribers22 October 2026 — 25,148 subscribers23 October 2026 — 25,193 subscribers24 October 2026 — 25,256 subscribers25 October 2026 — 25,277 subscribers26 October 2026 — 25,327 subscribers27 October 2026 — 25,387 subscribers28 October 2026 — 25,461 subscribers29 October 2026 — 25,482 subscribers30 October 2026 — 25,480 subscribers31 October 2026 — 25,491 subscribers1 November 2026 — 25,523 subscribers2 November 2026 — 25,580 subscribers3 November 2026 — 25,643 subscribers4 November 2026 — 25,674 subscribers5 November 2026 — 25,711 subscribers7 August 20265 November 2026
60 measurements spanning 90 days, net +4,363. 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 20,694–26,365 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
5 Nov 2026, 20:5625,711+37
4 Nov 2026, 23:2625,674+31
3 Nov 2026, 21:0625,643+63
2 Nov 2026, 17:4025,580+57
1 Nov 2026, 17:0525,523+32
31 Oct 2026, 19:1925,491+11
30 Oct 2026, 20:5625,480-2
29 Oct 2026, 17:4525,482+21
28 Oct 2026, 17:5625,461+74
27 Oct 2026, 14:1725,387+60
26 Oct 2026, 13:5525,327+50
25 Oct 2026, 12:4825,277+21
24 Oct 2026, 13:0425,256+63
23 Oct 2026, 12:5525,193+45
22 Oct 2026, 14:5125,148+76
21 Oct 2026, 09:5625,072+61
20 Oct 2026, 04:1925,011+50
19 Oct 2026, 06:0024,961+47
18 Oct 2026, 04:3024,914+54
17 Oct 2026, 02:3824,860first reading

Engagement

192 posts held, back to 3 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 132 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 25,711 subscribers
Avg views / post
2,900
89 posts measured
Reaction rate
0.213%
reactions ÷ views · ER floor
Posts in window
89
of 192 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 79 of 89 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 5 November 2026
Posts held192 (3 August 2026 – 5 November 2026)
Views total258,523
Reactions total508
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 20:39 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

Video runtime
20m 06s
Average length
14s

Measured directly from 86 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

1,257 reactions across 159 posts, in 17 distinct kinds. The most used accounts for 53.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤67553.7%
👍30624.3%
🤣15812.6%
🫡463.66%
🙈231.83%
👏141.11%
😱120.955%
🔥60.477%
🤔40.318%
😨30.239%
😁20.159%
😭20.159%
🙉20.159%
😈10.08%
😡10.08%
🤗10.08%
🥰10.08%

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 170 of the 192 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 1,257 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 192 most recent posts we hold, published 3 August 2026 to 5 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: 6 of 89 posts held from the last 30 days (6.74%) 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).

5 Nov 2026, 20:36 UTC9 viewsread 5 November 2026
Photo

伤兵留名:大哥 雷师花名:西施 踩雷时间:2026.11.5 城市坐标:深圳 福田石厦地铁站 踩雷支出:来回路费+时间精力 踩雷经历: 频道和本人两个人,本人是个高的老婆婆年龄很大。刚开始看频道很漂亮性感,也反复问了老师是不是本人,老师也说真实人照一致没有p,然后我就约了下午16点,然后就去了,楼下前台要登记个人信息,然后上去了打开房间门我去,惊呆了,我寻思这年头老奶奶也做这个吗?高是挺高,年龄也是大啊!化妆也盖不住,我去这人一直问我怎么样,我说人照不一致,她就让我去找其他人,然后我就走了,浪费了将近三个小时时间。回家后发现老师删了我的tg。 雷师TG @jiajials04

5 Nov 2026, 08:40 UTC≈1,580 views4 reactionsread 5 November 2026
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伤兵留名:恋恋 雷师花名:小柒 踩雷时间:11.3 城市坐标:深圳 宝安 踩雷支出:来回路费+时间精力,被遛狗,被戏耍 踩雷经历:中了半价,约课的时候就感觉不太对劲磨磨唧唧的,课室很远出发前还特地发消息确认过,结果到了后直接失联了,路上还把脚崴了,后面频道还在发约课消息但还是一直未读。 雷师TG @xiaoqi0073

❤4

5 Nov 2026, 08:25 UTC≈1,620 views12 reactionsread 5 November 2026
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🚨 深圳雷师榜|离谱至极!差评竟遭恐吓:不删就报警诬陷强奸?这是什么黑中介! 真是活久见,离谱程度简直突破天际! 一位老哥专门抽出时间和精力,来回奔波整整三个小时,满怀期待地跑过去,结果到了现场才发现:课表上明明白白标注的服务,实际压根就没有! 最终老哥也没消费,白白浪费了时间和路费。 本以为这件事到此为止,没想到真正离谱的还在后面! 老哥回来后如实写了一条差评,没想到竟然遭到黑中介恐吓威胁,要求他立即删除差评,否则就扬言报警诬陷老哥强奸! ???这是什么操作? 服务没有,消费没有,差评不能写?消费者连说句真实体验的权利都没有了? 自己服务经不起评价,竟然想靠恐吓和栽赃来堵住别人的嘴? 这已经不是普通的坑人了,而是把嚣张跋扈演绎到了极致! 只能说:雷中雷,雷中王,雷霸天!这操作真是够刑的! ⚠️ 各位老哥擦亮眼睛,避雷一定要避彻底!遇到这种情况,记得保存聊天记录、通话记录等证据,别让自己的合法权益受到侵害! 雷师TG:@WQQ…

❤12

5 Nov 2026, 08:09 UTC≈1,530 viewsread 5 November 2026
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伤兵留名:深情 雷师花名:憨憨 踩雷时间:2026.11.4 城市坐标:深圳 踩雷支出:1400 踩雷经历:垃圾中介,是那种先找人再去联系妹子上门的垃圾。一般遇到你到了让你等说在收拾的,就是这种垃圾中介 雷师TG:@hanghang1322 二进宫

5 Nov 2026, 08:02 UTC≈1,540 views3 reactionsread 5 November 2026
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伤兵留名:he 雷师花名:沐惋 发送时间:11月5号 城市坐标:深圳 福田 损失支出:1P熟客价 事情经历:之前来过几次沐惋,感觉都还不错,她也给我了熟客价,所以经常光顾,但是今天,不知道什么原因,套套掉了好几次(以前来基本都不会),试了几个姿势都掉,关键是我双手都在她脸旁边或者她能看得到的地方,后来直接污蔑我拔套,弟弟马上就被说软了,尝试最后一次换了女上也掉,她没话说了,此时我已经不想搞了,都这么熟了还这样说,上周还介绍了个朋友全价来光顾她,心寒,最后我说不搞了,然后怪我出不来跟她没关系,我都没怪她还怪起我来了,说得他自己一点问题没有,还说无套让我插了几下我赚了,呵呵,自从第一次掉后我每搞几下就让她检查套子掉了没有,等下怕不知道射进去就GG,我说那万一我不提醒你检查一下射进去怎么办,她说那就直接赔钱,没想到好心还被反咬一口,心寒,最后付钱我说双方都有责任,我付一半,她坚决不同意,我也很爽快直接按以前来的价格付了完直接走人,不想…

❤3

5 Nov 2026, 07:39 UTC≈1,500 views9 reactionsread 5 November 2026
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伤兵留名:跳跳 雷师花名:玲玲 踩雷时间:1105 城市坐标:深圳 踩雷支出:时间精力 踩雷经历:半价不兑,30就想打发我写报告。妄图以30元买我的良心,此举既侮辱了我的人格,也扰乱了市场,更是想蒙蔽其他老哥知情权,不想上榜可以不上,上了就这样挺没品的 雷师TG @ling3030

👍7❤2

5 Nov 2026, 07:33 UTC≈1,560 views2 reactionsread 5 November 2026
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伤兵留名:耄耋老朽踢蹴鞠 雷师花名:安艺 踩雷时间:2026.11.05 城市坐标:深圳 龙华 三一云都 踩雷支出:400 (半价券) 踩雷经历:避雷 中介纯快餐模式,人照不一随机发货。约好时间到楼下罚站了20分钟。进了房间因为门口灯光很暗,长相看着还可以。穿了塑身衣跟很包臀裙,身材看着还不错,就交了水费。结果脱衣服后大失所望,身材走样,有明显赘肉,两个胸也变小了,还干瘪下垂。模式是纯快餐模式,进门就催洗澡。没有寒暄,也没有陪洗。洗完上床,非常机械化的用奶子扫了两下,然后吹硬就开始带套做,嘴跟逼都不让亲不让摸,亲了两下胸又开始催着赶快做。进去之后,叫床也是很假的机械化叫床,听的都软了。至此兴趣全无,123交货结束。 事后老师亲口承认是中介推给他的。人照完全不符,综合估算女的至少30+。频道报告里面的服务全都没有,估计是中介造假的。纯快餐模式,毫无一点情绪价值。女的就想流水线的工人一样,完全没有感情,纯机械化操作。还有门口的灯光跟…

❤2

5 Nov 2026, 07:25 UTC≈1,600 views1 reactionsread 5 November 2026
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伤兵留名:sabbs 雷师花名:柚柚宝 踩雷时间:2026.11 城市坐标:深圳 南山 踩雷支出:来回路费+1500 踩雷经历:我是给朋友叫的,提前给我朋友看了照片,见面后,我朋友说人不一样,资料写着05,我朋友问了 sl 是03年的,而且假奶,很硬!预约聊天记录被 sl 双删了,给我的感觉就是中介放了其他人的照片,找了一个差不多的 sl 但是不是同一个人,自己想约的🐺友掂量清楚 雷师TG:@youyoubao488

❤1

3 Nov 2026, 23:43 UTC≈2,660 views5 reactionsread 5 November 2026
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伤兵留名:Evelyn Mcvicker🌱SEED 雷师花名:小甜甜 踩雷时间:2026.11 城市坐标:深圳 福田 踩雷支出:来回路费+往返三小时时间 踩雷经历:特么的课表上面写了有+200拍视频的服务,我坐车一个半小时过去见到老师,老师说没有这个服务,我说你没有这个你为啥要写到课表上面骗人?然后老师就不爽了叫我走人。我说没有就没有吧,我们开始吧,老师说你走吧我不接你了。直接开门赶客人,气死我了。我特么来回三小时路程你这样玩我? 雷师TG:@WQQ5204134 微信 Joedj-0516

❤5

3 Nov 2026, 23:25 UTC≈2,390 views5 reactionsread 5 November 2026
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伤兵留名:不愿透露名字的老哥 雷师花名:图图 之前用户名 妍妍 踩雷时间:好久之前 城市坐标:深圳 踩雷经历:这个是个大雷啊兄弟们,很久之前就在深圳开了,并且这个年纪很小,没有成年,大家注意,这个人极其会用同情心骗狼友,对好心的狼友每个都卖惨以卖惨骗取同情心,后面就以身上只有现金了,兑换不了线上的钱(细品为啥用不了线上的钱和银行卡,这个是重点兄弟们,猜猜什么人办不了银行卡)为主去骗她的好大哥们一个个都给骗了两三波,多的骗了几千,少的也有几百,然后以回家上学上岸为名义回去了,回去了以后以自己没成年威胁被骗钱的兄弟们,兄弟们也是没招,现在又以新人的名义来深圳开了,看到她都恶心坏了,兄弟们望周知,超级大雷,当时暴雷的时候应该有一部分兄弟看到她之前的频道了!知道的兄弟互相说一下。 雷师TG:@longgangtutu

❤5

3 Nov 2026, 19:58 UTC≈2,010 viewsread 4 November 2026

大雷报时代! 上海雷师榜 https://t.me/shlsbb 广州雷师榜 https://t.me/gzls8

3 Nov 2026, 19:11 UTC≈2,170 viewsread 4 November 2026
Video

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Showing the 12 most recent of 192 posts we hold for @szlsbb. 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 8 posts on @szlsbb 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
26 August 2026
Most recent seen missing
26 October 2026
Median time before seen missing
31 hours
Seen missing in the last 30 days
5

Mentions

Named by 1 registered channel — 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.

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

“深圳雷师榜” (@szlsbb), 25,711 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/szlsbb.

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.