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Channel

日常吃瓜/新闻爆料/搞笑段子

@dnycG8899

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

120subscribers

-33 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003167499743
TypeChannel
Username@dnycG8899
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/dnycG8899

Growth

120153136.57 August 2026 — 153 subscribers8 August 2026 — 153 subscribers14 August 2026 — 120 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net -33. 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 115–158 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 09:45120-33
8 Aug 2026, 19:16153no change
7 Aug 2026, 20:48153first reading

Engagement

12 posts held, back to 6 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 12 posts for this entry, the most recent from 14 December 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
3m 49s
Average length
33s

Measured directly from 7 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.

Recent posts

14 Dec 2025, 09:45 UTC≈1,540 viewsread 8 August 2026
Photo

#网友投稿 #鑫永利广场6栋6-7楼老板 #泰风 主题 你这11月份工资,明天15号发还是不发? 1. 我们这边已经出钱报备上楼 在你泡茶间活动区域查到你几个不同指纹,比如 门把手 茶几 沙发上的一些频繁摸到之处 2. 也有核实过,你在202某年 某月某日,在泰国某市区下飞机到某酒店活动过 3. 目前有找到清晰度较高的,中指和无名指,以及拇指的几项指纹 4. 我希望你把工资 尽快通知行政部安排发一下 5. 如果不发的话,只能把这些记录交公安机关对你实行抓捕 6. 不管你回国了还是在逃,反正政府有政府的方法 7. 坦白的说,只要工资发了,我们就当什么事情都没有发生过 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

14 Dec 2025, 09:35 UTC≈1,140 viewsread 8 August 2026
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#顺达园区最新情况 缅甸军方:将要求中泰勿直接接收KNU移交的诈骗人员缅甸国家管理委员会警察总局副局长温佐貌12月14日表示 缅方将在中缅泰三方会议上要求泰国与中国不要直接接收由克伦民族联盟(KNU)移交的电信诈骗嫌疑人。 温佐貌在当天举行的打击网络诈骗新闻发布会上称对于KNU在妙瓦底地区(顺达园区)抓捕的外籍涉诈人员, 缅方将要求中泰两国不通过KNU直接接收。他表示,此举旨在规范移交程序。 发布会上同时透露,中国代表团将前往水沟谷亚太城地区进行视察。 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

14 Dec 2025, 09:31 UTC≈1,010 viewsread 8 August 2026
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#网友投稿 今天早上老挝万象发生枪战,据说是情杀,老挝妹找中国男人 被本地男朋友报复,都有枪,不服就干,当场死了两个,可爱的老挝妹也去见太奶了! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

14 Dec 2025, 06:26 UTC923 viewsread 8 August 2026
Video

#网友投稿 #西港居民应首先撤离 泰国今晚将向西港发射炮弹每个人都应该远离高层赌场,因为今晚,泰国军队将把枪口对准西港请寻找安全的地方避难🙏 ps:今天这人应该会被拉去谈话 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

14 Dec 2025, 06:07 UTC821 viewsread 8 August 2026
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#画饼充饥 这波好好干,下拨到时候让你去带个组,一波也能多赚点。 你能力强,平时忙完了多帮帮新人,这样加深这些人对你的好感度,那下拨我提你上位的时候就轻松了。 你自己想一下,为什么我只对你这样,因为我也是为你好啊,其他人我都不带搭理的。 为什么罚你?难道我想罚你吗?我也是想着让你多赚点钱啊。 刚刚在办公室电你的事情,不要放在心上,这个是做个表率,难为你了,走下楼喝两杯。 兄弟这波你一定要起飞了,给我顶住了,咱不能丢这个人。 好好加油啊,把专业度和能力再提一提,明年我找好市场,团队扩大,我们做大做强,这波一定起飞 Ps:兄弟们这套路熟悉吗?😂😂😂 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

13 Dec 2025, 09:20 UTC773 views0 reactionsread 8 August 2026
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#柬埔寨新闻 戈公海域炮火轰鸣!泰国军舰对岸狂轰,居民+园区上万人紧急撤离 昨晚戈公海边对面泰国军舰直接开炮!炮弹呼啸而过,爆炸声震耳欲聋,海面火光冲天! 本地居民和海边多个园区瞬间乱套,上万人扛行李狂奔逃命,码头、公路人山人海! 园区老板跑光,员工被扔下自生自灭!炮火已覆盖海岸下一发随时可能砸进园区! 戈公今晚彻底失控!泰国军舰下死手,海边兄弟们命悬一线,能跑的立刻跑! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

13 Dec 2025, 06:36 UTC661 viewsread 8 August 2026
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泰国皇家特种部队与警方在泰缅边境巡逻时,抓获4名中国籍男子。 ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅东南亚/爆料/吃喝玩乐频道 ↓ 🔗https://t.me/DnyHc1688 ☎️ 欢迎爆料: @Xjiyu778

12 Dec 2025, 14:27 UTC628 viewsread 8 August 2026
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#网友曝光 金边財进,湖北人,之前在菲律宾做股转,现在在西港有代理线,经常在金边天空之城嗨。 ❗️事情是这样的: 1️⃣ 我找他冷钱包换 ABA,我转过去后,他直接把我拉黑删除记录了。我换其他号找他没有回复,让他朋友联系他,他回了一条消息,不存在被盗号或有难处无法和我讲的情况。 2️⃣ 提醒各位盘总,此人嘴甜,很会哄人开心。认识这么久一直把他当弟弟看,给他找事情做,一点感恩之心没有,这点钱都要跑,有什么难处几千能解决吗,谨防这种白眼狼小人! 3️⃣ 你妈抱着你女儿给你打视频的截图我有,你的照片我也有。你在国内哪里买了房子我也知道,你最好想清楚怎么处理。今天不找我处理,下次就发这些照片了!! ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅东南亚/爆料/吃喝玩乐频道 ↓ 🔗https://t.me/DnyHc1688 ☎️ 欢迎爆料: @Xjiyu778

6 Dec 2025, 09:18 UTC580 viewsread 8 August 2026
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#网友投稿 #曝光此人 保时捷 小翔 在木姐 公司在 庄坐1号路 五角烧烤旁边 红色大门 名字叫保时捷 老妖么爱叫他小翔 开什么组也不知道 一问他问题么就说推微信 女朋友么睡了 就赶走 公司在瑞晨酒店后面 好兄弟对面五角烧烤旁边红色大门 介绍人进去 说什么三天后就给。说什么没有钱给 没有钱你还开什么公司? 没钱还天天晚上点外卖吃 员工也好好不教,只是在手机上说说。 我们弄错了他又在那里狗叫,之前我们在公司的时候,他还叫他女朋友给他洗衣服,那时候无语他了,一个中国老妖,他女朋友也是恋爱脑,现在看清他了,家人们 避雷此人。 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 🔔 订阅日常吃瓜/新闻爆料/搞笑段子 🔗https://t.me/dnycG8899 ☎️ 欢迎爆料: @nianan77

Showing the 12 most recent of 12 posts we hold for @dnycG8899. 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.

Citation-graph rank

Citation-graph rank — 1,242,826 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 3 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.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“日常吃瓜/新闻爆料/搞笑段子” (@dnycG8899), 120 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/dnycG8899.

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.