一边是国内的科技新贵,朋友圈都在海外旅游 一边是国内的传统消费品行业老板有些已经成为老赖 基本8月、9月,整个国内消费品的流通市场都崩溃了,电商也掉得特别厉害。 说不出来的滋味 🆒🔴商务合作:渡秋川

Channel
全网吃瓜爆料|网红黑料
@dnyzx1234
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
31,525subscribers
-8,732 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 | -1002287021394 |
|---|---|
| Type | Channel |
| Username | @dnyzx1234 |
| Description | 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、让您看尽东南亚大小事。 ➖➖➖➖➖➖➖➖➖➖ 🔍吃瓜Top: @hdjunf 🔍全网吃瓜爆料: @dnyzx1234 🔍华人吃瓜猎奇: @dnyzx1213 🔍泰国爆料: @xjp720 🔍泰国大事件: @BG_1133 🔍求职招聘: @YTT7891 🔍东南亚吃瓜: @dnyzx188 日本 av 种子 : @cosfeng4 📲商务合作: @shixiong789 |
| Created | Between 1 September 2024 and 31 March 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/dnyzx1234 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 17:40 | 31,525 | -4,513 |
| 17 Sept 2026, 06:01 | 36,038 | -1,226 |
| 15 Sept 2026, 06:20 | 37,264 | -1,237 |
| 13 Sept 2026, 17:21 | 38,501 | -1,115 |
| 11 Sept 2026, 20:59 | 39,616 | -1,549 |
| 9 Sept 2026, 09:57 | 41,165 | -2,227 |
| 6 Sept 2026, 01:17 | 43,392 | -1,884 |
| 3 Sept 2026, 18:00 | 45,276 | -563 |
| 2 Sept 2026, 13:06 | 45,839 | -803 |
| 1 Sept 2026, 11:08 | 46,642 | -820 |
| 31 Aug 2026, 09:27 | 47,462 | -782 |
| 30 Aug 2026, 07:38 | 48,244 | -692 |
| 29 Aug 2026, 06:25 | 48,936 | -870 |
| 28 Aug 2026, 09:17 | 49,806 | -775 |
| 27 Aug 2026, 05:47 | 50,581 | -925 |
| 26 Aug 2026, 07:25 | 51,506 | +12,614 |
| 25 Aug 2026, 04:57 | 38,892 | -787 |
| 24 Aug 2026, 02:02 | 39,679 | -393 |
| 22 Aug 2026, 11:08 | 40,072 | -19 |
| 21 Aug 2026, 04:03 | 40,091 | first reading |
Engagement
923 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 103 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.12%
- avg views ÷ 31,525 subscribers
- Avg views / post
- 668
- 577 posts measured
- Reaction rate
- 0.062%
- reactions ÷ views · ER floor
- Posts in window
- 579
- of 923 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 2 of 577 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 923 (1 August 2026 – 2 October 2026) |
| Views total | 385,285 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 10:29 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
- ≈11,200
- Videos
- ≈10,300
- Links
- ≈9,280
Lifetime counters from Telegram’s own channel header, read 2 October 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
- 7h 22m
- Average length
- 48s
Measured directly from 552 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 923 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 923 most recent posts we hold, published 1 August 2026 to 2 October 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
疯狂涌向体制内 2025年我国毕业博士11.29万人,在读博士75.36万人。博士也不是十几年前曾经的就业天花板了,工作很难找,竞争压力很大。很多博士找不到工作就进博士后流动站再奋斗几年,继续积攒科研成果,增加就业砝码,为了找个理想工作。本科不得不读硕士,硕士找不到好工作就读博士,博士毕业发现工作也不好找。所以,以后的就业市场就不是单纯拼学历了,拼的是综合素质和个人能力。单纯凭着一个毕业证、学位证就能找个好工作的日子,一去不返了。这就像以前的海外学历非常吃香,现在国内的用人单位对海外的本硕也不感冒。所以这对我们现在的家长提出了一个要求,不要一味的只盯学历。我们也可以想象,即使我们的孩子博士毕业,如果人格品性、能力素质、认知水平上不去,也照样找不到工作。所以我们和国外也越来越像,人才逐渐不再以学历为评判标准,一个真正的人才,并非单纯依靠学历的加持。 🆒🔴商务合作:渡秋川
怪不得的现在的台球厅生意火爆,原来长腿美女助教这么多。 听说现在打台球挺贵的 真的不是我们普通打工人能玩的起的了,最低都要几十块一小时了,请个陪练最低居然一小时几百,早就不是当年几块钱随便玩的日子了。 现在的台球厅再也不是打台球那么简单了,一些台球厅里的氛围却渐渐变了味,那些打着“助教”旗号的身影,正在悄悄改写着这项运动的底色。 🆒🔴商务合作:渡秋川
1980年代毕业的大学生很多都进了原来机械部、兵器部的工厂,后来这些工厂改制,下岗或者买断工龄。这部分大学生没赶上好时代,现在退休养老金大多在4000元左右。这些1980年代的大学生正可谓“天之骄子”,大学录取率'只有7-8%,生不逢时也很无奈。 🆒🔴商务合作:渡秋川
小时候受到的心理创伤,长大了也很难被抹平 🆒🔴商务合作:渡秋川
最近有很多宝妈开始吐槽,不敢带几岁的孩子出门玩了,原因是担心会碰到女权,然后控告孩子性骚扰。 🆒🔴商务合作:渡秋川
两个人并排走着: → 川普向星条旗敬礼🇺🇸 → 高市早苗示意:日本国旗也要敬礼🇯🇵 → 川普:……继续走 → 高市早苗:??? → 川普头也不回 → 高市早苗默默追上 川普:你在教我做事?😂 🆒🔴商务合作:渡秋川
难绷,中国台北第五人格输中国拿铜牌,选手痛哭 🆒🔴商务合作:渡秋川
中国柔道女将咬日本运动员,超大「齿痕」,被红牌罚下 2026爱知名古屋亚运 10 月 1 日进行柔道赛程,在女子70公斤级8强赛中竟爆出「咬人事件」,日本选手前田凛与中国选手唐婧交手,唐婧在地面战居于劣势时,竟张口咬伤前田凛的左臂,遭到裁判直接判定犯规败,前田凛则顺势挺进准决赛。 比赛进行中,双方在场上激烈缠斗,期间前田凛在地面战逐渐占据优势,唐婧在试图挣脱、拉扯至场外时,竟一口咬下前田凛的左臂,事发后前田凛立刻向裁判申诉,并将袖子卷起,秀出左前臂上清晰可见的骇人齿痕。 裁判随即透过重播画面反覆检验,中国教练也一同参与确认。经过审议后,主审正式裁决唐婧「反则负(犯规败,Hansoku-make)」,前田凛晋级4强。面对判决,唐婧一度露出不可置信与「只是偶然碰到」的表情,但最终仍不满地与对手握手后黯然离场。官方赛果虽判定前田凛以一本胜出,但未详细记载犯规原因。 事件发生后,日媒《THE DIGEST》第一时间前往混合采访区…
有博主曝光私生饭长时间围堵、蹲守某练习生住所,实施极端骚扰行为,看着大脸盘子,傅面印象+1。傻逼 #女粉丝 恶心 🆒🔴商务合作:渡秋川
台日友好 台中市的姑娘们正在跳《平成音头》。 先用台湾话演唱,随后接上日语。 她们穿起和服来,也显得十分自然。 🆒🔴商务合作:渡秋川
台湾接收首批两架F-16V Block 70战斗机 2 日,台湾接收了向美国采购的66架F-16V Block 70战斗机中的首批两架。飞机于中午左右降落在台东县志航空军基地。 🆒🔴商务合作:渡秋川
Showing the 12 most recent of 923 posts we hold for @dnyzx1234. 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 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@syxw4 · 47,328126 posts菲律宾大事件
@dnyzw188 · 50,26296 posts◉迪拜新闻曝光
@syxw3 · 52,04975 posts柬埔寨大事件曝光『西港黑料』
@ukevjiv6 · 32,37970 posts亚太新闻|Yataixinwen
@baoliaofj · 32,49068 posts迪拜新闻🇦🇪
@dnyzx190 · 47,90768 posts🅥菲律宾新闻
@syxw2 · 49,12766 posts东南亚新闻网
@xinwenzix · 45,26665 posts内涵吃瓜-吃瓜Top
@hdjunf · 42,24263 posts骗子曝光
@dnyzx191 · 50,88660 posts泰国缅甸迪拜华人曝光
@facail16888889 · 38,87660 posts东南亚华人吃瓜猎奇柬埔寨
@dnyzx1213 · 28,21058 posts找工作上菲龙网求职招聘
@flwph33 · 63,80958 posts91吃瓜反差新闻
@fcxho · 43,42056 posts缅北大事件曝光
@facaiqq686868 · 24,28154 posts东南亚求职招聘网
@YTT7891 · 22,43853 posts东南亚国外新闻
@zdny66 · 96,31850 posts🅥亚太新闻曝光
@syxw7 · 46,97049 posts🅥菲律宾曝光
@syxw1 · 46,59746 posts东南亚大事件曝光
@dnyxw191 · 28,38245 posts东南亚华人曝光
@xw_339 · 26,01144 posts◉东南亚中文新闻
@syxw5 · 50,64843 posts柬埔寨新闻大事件
@dny19131 · 52,17142 posts泰国新闻
@dnyzx192 · 52,16242 posts
Names
Channels on the register whose handles appear in this channel's posts.
@anweitt · 15,81655 posts亚太新闻|Yataixinwen
@baoliaofj · 32,49055 posts网红 ❤️主播 ❤️剧情 精选
@cosfeng3 · 2,30855 posts日本 av 种子 番号 无码
@cosfeng4 · 3,65755 posts探花系列|国产偷拍
@cosfeng5 · 11,62255 postsⓂ️麻豆国产影视
@cosfeng6 · 9,82455 posts西港日记📔柬埔寨新闻中心
@dnypgg · 50,06955 posts大事件新闻爆料
@dnyxw192 · 24,78255 posts亚太缅甸新闻
@dnyzx88 · 50,82455 posts缅甸缅北东南亚新闻曝光
@facai16161616 · 27,50355 posts缅北大事件曝光
@facaiqq686868 · 24,28155 posts91吃瓜反差新闻
@fcxho · 43,42055 posts菲龙网安危事件曝光
@flwph66 · 168,35555 posts泰国-马来西亚-新闻曝光
@hongyunlin1 · 38,45255 posts精品内涵段子视频
@neihanduanziq · 31,72555 posts🍉吃瓜搞笑猎奇新闻
@qiqubaikeh · 50,33355 posts🅥菲律宾曝光
@syxw1 · 46,59755 posts🅥菲律宾新闻
@syxw2 · 49,12755 posts◉迪拜新闻曝光
@syxw3 · 52,04955 posts◉柬埔寨新闻
@syxw4 · 47,32855 posts◉东南亚中文新闻
@syxw5 · 50,64855 posts安危头条新闻 🅥
@syxw6 · 92,94655 posts🅥亚太新闻曝光
@syxw7 · 46,97055 posts柬埔寨新闻《柬埔寨曝光》
@xinwenbg3 · 37,21755 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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“全网吃瓜爆料|网红黑料” (@dnyzx1234), 31,525 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/dnyzx1234.
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.