🌸通知:🚀内部女尸会员目前优惠价格已降至155。 最低优惠价格持续9月30日 购买链接⤵️ https://t.me/mengxnb666bot?start=2U0lMwDFUC3Ft 内部包含:奸尸、虐杀女性、女尸解剖、尸检女尸全套、总资源超17000+ ❤️!
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Channel
@thxdsy5
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
29,659subscribers
+5,382 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002758303861 |
|---|---|
| Type | Channel |
| Username | @thxdsy5 |
| Description | 每日收藏来自世界的吃瓜事件,让你更快的了解事实和真相,欢迎你的到来。 欢迎大家加入不知名!这里会让你看到各种有趣的事情。 永记防失联: @thxdsy |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/thxdsy5 |
National news — 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 98% 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 |
|---|---|---|
| 25 Sept 2026, 04:58 | 29,659 | +80 |
| 18 Sept 2026, 22:35 | 29,579 | +98 |
| 16 Sept 2026, 11:58 | 29,481 | +153 |
| 14 Sept 2026, 18:59 | 29,328 | +123 |
| 13 Sept 2026, 04:59 | 29,205 | +116 |
| 11 Sept 2026, 07:19 | 29,089 | +223 |
| 8 Sept 2026, 13:58 | 28,866 | +102 |
| 5 Sept 2026, 07:35 | 28,764 | +82 |
| 3 Sept 2026, 09:36 | 28,682 | +122 |
| 2 Sept 2026, 01:43 | 28,560 | +92 |
| 1 Sept 2026, 00:18 | 28,468 | +121 |
| 30 Aug 2026, 20:36 | 28,347 | +218 |
| 30 Aug 2026, 00:07 | 28,129 | +378 |
| 29 Aug 2026, 01:42 | 27,751 | +367 |
| 28 Aug 2026, 04:25 | 27,384 | +533 |
| 27 Aug 2026, 01:56 | 26,851 | +215 |
| 25 Aug 2026, 23:38 | 26,636 | +139 |
| 24 Aug 2026, 22:26 | 26,497 | +343 |
| 23 Aug 2026, 10:46 | 26,154 | +227 |
| 21 Aug 2026, 23:47 | 25,927 | first reading |
258 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 84 pages of Telegram’s post history, 20 posts per page.
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 41 of 86 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 258 (7 August 2026 – 29 September 2026) |
| Views total | 109,360 |
| Reactions total | 185 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 22:41 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.
Lifetime counters from Telegram’s own channel header, read 29 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.
Measured directly from 153 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.
506 reactions across 99 posts, in 12 distinct kinds. The most used accounts for 49.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 249 | 49.2% | |
| 🙏 | 146 | 28.9% | |
| 😭 | 40 | 7.91% | |
| 🕊 | 37 | 7.31% | |
| 🤯 | 10 | 1.98% | |
| 😱 | 6 | 1.19% | |
| 👏 | 4 | 0.791% | |
| 🥰 | 4 | 0.791% | |
| 🫡 | 4 | 0.791% | |
| 🤣 | 3 | 0.593% | |
| 🤔 | 2 | 0.395% | |
| 🎉 | 1 | 0.198% |
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 121 of the 258 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 506 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 258 most recent posts we hold, published 7 August 2026 to 29 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.
🌸通知:🚀内部女尸会员目前优惠价格已降至155。 最低优惠价格持续9月30日 购买链接⤵️ https://t.me/mengxnb666bot?start=2U0lMwDFUC3Ft 内部包含:奸尸、虐杀女性、女尸解剖、尸检女尸全套、总资源超17000+ ❤️!
❤1
如果群里找不到想看的资源可以去搜索群找找⤵️ 搜索群:https://t.me/Jisusouso 会员群下单👉 @mengxnb666bot 吃瓜备用频道: @thxdsy7 永记频道防失联:@thxdsy ⛅
9月29日,北京理工大学发文查实,裴轶在严重违反教师职业道德规范和行为准则等行为,造成严重不良影响。 依据相关规定,经研究决定,取消裴某研究生指导教师资格,撤销其北京理工大学教师岗位任职资格,解除聘用关系。 裴轶开设《数字时代的女性权益保护》等课程,被指在高校公开宣扬极端女权观点(如“支持男性低人一等”),并在微博发表大量被网友认为“恨国、恨党”的言论。 网友进一步挖出其学术背景:本科为天津师范大学(双非),后获英国两所大学一年制硕士,2021年博士毕业后直接入职北理工法学院,评助理教授并兼任院长助理。 其国内博士导师许光耀(广西大学法学院院长)与北理工法学院院长李寿平是武汉大学同门师兄弟,存在明显学术人脉关系。 视频还提到其丈夫涉嫌违规兼职、佩戴高价戒指等生活细节,质疑其“捷径入职”。 她在课堂上声援劳东燕、支持相关争议案件、为部分女性事件开脱,并将中国女性外嫁解读为“挣脱父权”。 舆论发酵后,北理工迅速下架课程…
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9月29日,成都市文化广电旅游局发布通报,就那英在演唱会现场缅怀刘欢、即兴演唱《弯弯的月亮》一事作出回应。经核实,那英是在演唱会现场观众互动环节进行片段化演唱,未完整演唱该歌曲,不属于变更节目重新报批的情形。通报特别写道:“感谢网友的关注与监督。” #刘欢 #弯弯月亮 #热搜 #新闻 #吃瓜 #成都文化广电旅游局
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9月27日,网传女导购气质女郎刘佳抖音8.1W粉 睡顾客老公,知三当三,裸照贴试衣间。 基本都可以看出,视频里和网传图片基本都不是一个人,自行辨认吧 #热搜 #佳木斯迪桑特事件 #新闻 #吃瓜 #导购 #小三
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9月29日1时30分许,据新华社报道,贵州省黔南州龙里县龙山镇境内发生一起交通事故,一辆实载7人的小轿车与半挂车发生交通事故,造成小轿车上7人死亡。目前,事故原因正在调查中。 #新华社 #吃瓜 #车祸 #热搜 #新闻 #警情通报
9月28日,尼泊尔一场大规模山体滑坡在数秒内摧毁了卡利甘达基河附近的山的一部分,造成至少24人死亡,14人失踪在,另外还有11名工人在喜马拉雅山脉的雪崩中失踪。 山体滑坡摧毁了房屋、道路和桥梁,约1500人不得不离开家园。 #尼泊尔 #泥石流 #新闻 #自然灾害 #热搜 #吃瓜 #登山者
南非 | 至少27人死亡,另有26人受伤,南非约翰内斯堡和开普敦附近两地发生大规模枪击事件。 第一次袭击发生在豪登省的韦德拉镇一家酒吧,八名男子手持AK-47步枪和手枪向顾客开火,造成17人死亡,15人受伤。 数小时后,武装分子袭击了开普敦附近的路旺德镇的一家商店,造成另外10人死亡,11人受伤。 警方正在开展行动,以寻找肇事者,目前尚未确认这两起袭击事件之间是否存在关联。 #国际事件 #南非 #吃瓜 #热搜 枪击
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美国加利福尼亚州圣贝纳迪诺县警方9月25日公布的最新尸检结果显示,加密货币风险投资公司Hack VC的37岁前华人合伙人庄欣如(Hsin-Ju Chuang音译)的死因为自杀。 而就在她被发现死亡前一天的8月23日,庄欣如曾在社交平台X上发表长文,公开指控Hack VC在她任职期间存在高强度工作、施压以及所谓“行业封杀”等问题。 8月24日晚约9时47分,加州公路巡警接到报警,赶往加州圣贝纳迪诺县南向15号州际公路在沙漠中的路段。警方随后在沙漠中的一辆汽车内发现庄欣如,她当场被宣布死亡;当时死亡原因尚未确定,案件由加州公路巡警负责调查。 她称,自己当时患有严重疾病并伴随严重失眠,却仍被要求每天工作13至14个小时、每周工作6天,甚至在身体状况恶化的情况下继续负责大型行业活动。按照她公布的工作时长计算,一周工作时间达到约78至84小时。 庄欣如还指控Hack VC的高层在她试图离开公司时对她施加压力。她声称,自己曾遭到“行…
🌸通知:🚀内部女尸会员目前优惠价格已降至155。 最低优惠价格持续9月30日 购买链接⤵️ https://t.me/mengxnb666bot?start=2U0lMwDFUC3Ft 内部包含:奸尸、虐杀女性、女尸解剖、尸检女尸全套、总资源超17000+ ❤️!
如果群里找不到想看的资源可以去搜索群找找⤵️ 搜索群:https://t.me/Jisusouso 会员群下单👉 @mengxnb666bot 吃瓜备用频道: @thxdsy7 永记频道防失联:@thxdsy ⛅
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9月28日,北京青年报记者从北京市公安局治安管理总队获悉,北京警方今年以来依法查处各类涉犬违法案件,截至9月23日,今年已依法查处因未采取安全措施致使犬只伤人案件11起,11人被依法行政拘留。 #烈犬 #私自饲养 #吃瓜 #拘留 #热搜 #新闻 #北京
Showing the 12 most recent of 258 posts we hold for @thxdsy5. 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.
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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜丨新闻丨热搜丨猎奇” (@thxdsy5), 29,659 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/thxdsy5.
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.