👩雷师艺名: #雪妮 🆔雷师TG: @fdddza 💣💣💣踩雷过程: 拿钱之前笑咪咪答应慢慢来,拿完之后立马变脸“1p只有20分钟噢,得快点” 直接让人瞬间没了兴致。。 后面说加钱到pp才能慢点来,结果刚答应口两下后来了感觉又突然说得先把钱给她 我tm直接让她滚了,1400就当喂了屎。 找个态度好点的就这么难吗 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
❤2🥰1

Channel
@shudongleibao_sz
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
2,024subscribers
+80 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003281652457 |
|---|---|
| Type | Channel |
| Username | @shudongleibao_sz |
| Created | Between 1 October 2025 and 11 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/shudongleibao_sz |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 02:01 | 2,024 | +7 |
| 11 Sept 2026, 22:36 | 2,017 | +16 |
| 7 Sept 2026, 17:59 | 2,001 | +25 |
| 2 Sept 2026, 13:06 | 1,976 | +1 |
| 30 Aug 2026, 15:38 | 1,975 | +2 |
| 27 Aug 2026, 17:37 | 1,973 | +11 |
| 24 Aug 2026, 08:45 | 1,962 | +6 |
| 20 Aug 2026, 22:34 | 1,956 | +10 |
| 17 Aug 2026, 17:17 | 1,946 | -1 |
| 14 Aug 2026, 15:48 | 1,947 | +6 |
| 11 Aug 2026, 10:36 | 1,941 | +1 |
| 8 Aug 2026, 07:53 | 1,940 | -4 |
| 8 Aug 2026, 02:17 | 1,944 | first reading |
17 posts held, back to 11 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 27 February 2026. An engagement rate over an empty window would be a number about nothing.
91 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 68.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 62 | 68.1% | |
| 👍 | 17 | 18.7% | |
| 👏 | 11 | 12.1% | |
| 🥰 | 1 | 1.10% |
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 13 of the 17 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 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 11 November 2025 to 27 February 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.
👩雷师艺名: #雪妮 🆔雷师TG: @fdddza 💣💣💣踩雷过程: 拿钱之前笑咪咪答应慢慢来,拿完之后立马变脸“1p只有20分钟噢,得快点” 直接让人瞬间没了兴致。。 后面说加钱到pp才能慢点来,结果刚答应口两下后来了感觉又突然说得先把钱给她 我tm直接让她滚了,1400就当喂了屎。 找个态度好点的就这么难吗 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
❤2🥰1
👩雷师艺名: #小师姐 🆔雷师TG: @sanshijie1 💣💣💣踩雷过程: 用的是韩国福利姬的照片和视频,评论估计全是假的。进门人照完全不一样,又老又丑,估计是鸡头不止一个人。🐻是假的,硬的像石头。自己不洗,也没有帮洗,三点口,做完后就自己去玩手机了。在大群留言还被删了。 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
❤5
👩雷师艺名: #可儿 🆔雷师TG: @keer030 💣💣💣踩雷过程: 发的验证视频和照片全是网图或ai,本人是个大妈,肥的一批 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
👍6
👩雷师艺名: #大乔小乔 🆔雷师TG: @daxiaoqiao11 💣💣💣踩雷过程: 约课要定金200 给了商户二维码,扫码付了。然后给一个小区楼栋号,到楼下要求再次扫码分两笔付全款。我说当面全额给现金反被喷给现金不安全。当时怀疑有诈仍坚持当面现金,回复不行。最后要求退定金被喷然后拉黑。总结:就是个骗子,要定金把你骗到楼下,到楼下骗你全款,骗不到全款最少也能保底200现金。垃圾玩意避雷 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
❤1
👩雷师艺名: #罗湖懒猫猫 🆔雷师TG: @lanmaonao66b 💣💣💣踩雷过程: 这个懒猫猫说自己没课室只上门,实际就是视频照片用网图或者ai或者找人拍的,上门的是大妈。说什么来开的谁用本人视频,我只想说草泥马大妈还有理了? 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
❤4
👩雷师艺名: #龙华大美 🆔雷师TG: @hkcc257 💣💣💣踩雷过程: 视频美颜太严重 人照不一致 化妆有点丑 整容脸 有点壮包夜8小时 才过了4个半小时就赶人走无语死了 没见过包夜都这么急的千万别去 🐻是假的 鼻子假的!要服务没服务 要颜值没颜值百分百雷。 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
👩雷师艺名: #晚晚 🆔雷师TG: @wan888777 💣💣💣踩雷过程: 初遇到此雷师,是12月在某群积分竞拍的,第一晚跟她也是促膝长谈,她生意不咋好,跟她聊了让她频道多放点生活照,增点高级感,还帮她写了篇很不错的小作文,也是在群里帮她说了不少好话,还帮她调了vpn,拉他进了几个大群,也有不少狼友听了我的推广或是看到我报告去了,真TM是一片真心喂了狗,做鸡做久了不通人性。 这次备用号又中了她的半价,不巧遇到红休,说是让我朋友去,本想找她叙叙旧。这货怕是大姨妈没来干净,上来没说几句就开始呛我,她说三天有效期,我说那不还是你说了算,她说“自己不会看啊”,我让她说话温柔点,又是“我没义务对你说话温柔”,此时我已经不想去了,让我朋友去,用自己号联系她,她说“我只认中奖账号”,她还认为自己根本没啥问题,是跟正常人聊天的态度,大家直接看看,试问遇到这种态度,你们还愿意去吗? 🪖伤兵留名: 做 💣雷报区: 北京 上海 杭州 深圳…
👍4❤1
👩雷师艺名: #大婷婷 🆔雷师TG: @datingtingya52 💣💣💣踩雷过程: 玩到现在这么多年,遇到最恶心的一个,大家千万别去。一进门人照完全不符,我大半夜去的想着来都来了,就吃吧。这逼直接说2p吧她给点优惠,我拒绝,又提了好几次,我依然拒绝。然后一上来连澡都不xi,直接就说tuo了躺下,我说这什么情况,不用xi吗,她说那就xi吧,然后一脸黑脸,开热水的时候还太烫把我烫了,xi完之后啥服务没有,直接就带☂️开始,连熊都不给舔,我说你这什么都没,她说本来就是这样,所有人都这样,最后我直接不做了走了,整个过程不到20分钟,当做踩雷了。我真的是日了狗了,气死了,这种人在这个行业干,就是给这个行业抹黑,各位兄弟们一定要避雷。 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
👍7❤2
👩雷师艺名: #四妹 🆔雷师TG: @sisimei_66 💣💣💣踩雷过程: 前段时间看的朝花榜单, 这个鸡婆在榜上有名,又被大v频道认证,很火的一个鸡婆,频道没放照片我就当开个盲盒,大家都说好的,必然要尝个咸淡,提前约了时间,交了定金,到了以后妈的进门就被吓痿了,个子是高,颜值普通人,年龄看着像27.28让我花1500来艹,我真不想日,就这破烂货色被这几个眼瞎的吹上天,想着算了大老远来都来了,但我心里真膈应,关键我还是看好多大频道主推荐来的,那个频道主跟朝花群你们他妈真不是人啊,啥烂货都推,让哥们给你表演“精虫上脑来都来了”是吧,坑一个是一个?她是不是给你们无套了给你们伺候爽了,前段时间咋约都约不上,好不容易庆幸约上,大老远跑来整这出,更恶心没看上还不退定金强卖强卖,妈的一群虚假宣传的垃圾频道,你们这群去过的也真是嘴严,就这逼货色没有一个真实,画了妆都一般不是我的菜,卸了妆得多丑,这鸡婆绝对有28左右,花1500艹个比你还大…
❤14
👩雷师艺名: #莉莉吖 🆔雷师TG: @llwno 💣💣💣踩雷过程: 伤兵留名:幕后玩家m 雷师花名:莉莉吖 踩雷时间:12.31 城市坐标:深圳爱联地铁站龙城华府 踩雷支出:100 踩雷细节:电报上聊的时候正常。过去到地址了要给什么报备付款。到这感觉不对了。第一次听说到地方要报备付款才给上去的,不当面收钱的。尾款没付亏100定金。 tg:@llwno 🪖伤兵留名: 幕后玩家 💣雷报区: 北京 上海 杭州 深圳 广州 ------------------------- 🌲树洞导航 🤖写雷报
❤7
👩雷师艺名: #水咲泷拉 🆔雷师TG: @sxbabybb 💣💣💣踩雷过程: 水口关泷拉,万科云城3期的大雷,烟熏沙哑的嗓子,态度非常差的老鸡🐔,虚假宣传服务全无 1,洗完澡我看到有牙刷,问要不要刷牙,直接告诉我没有蛇纹,我说课表上有直接被无视;舔了几口胸又喊疼,态度恶劣; 2,服务真的拉胯至极,基本无服务,象征性的口了几下。之前聊天问过是否可以用玩具,说只有跳蛋,之前聊的啥都不知道确认代聊; 3,刚上床就问一般做多长时间?催钟意图明显,第一个姿势就假的不能再假的叫,老公冲刺啥的,我说你别叫了,在叫都要软掉了。换个姿势又喊冲刺,完全没兴致,全靠YY撑着。 4,完事之后更是肆无忌惮,自己冲凉自己走,在卧室里面不露面,我出门时都是苦笑,自己活该。然后发现聊天记录都被清空了。看频道里1万多订阅,也不知道都怎么忍受的,我必须站出来不让后续的兄弟们再遭受痛苦了! 🪖伤兵留名: 匿名 💣雷报区: 北京 上海 杭州 深圳 广州…
❤14👏11
5
Showing the 12 most recent of 17 posts we hold for @shudongleibao_sz. 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.
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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@shudongleibao_sz named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“树洞雷报深圳” (@shudongleibao_sz), 2,024 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/shudongleibao_sz.
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.