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Telegram profile photo for 吃瓜社 曝光 🇨🇳

Channel

吃瓜社 曝光 🇨🇳

@aa35924

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

64,467subscribers

-18,042 since we began measuring on 23 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001547635034
TypeChannel
Username@aa35924
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded23 August 2026
Last confirmed live1 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/aa35924

Growth

64,46782,50973,48823 August 2026 — 82,509 subscribers24 August 2026 — 82,197 subscribers25 August 2026 — 81,977 subscribers26 August 2026 — 81,856 subscribers27 August 2026 — 81,807 subscribers28 August 2026 — 81,647 subscribers29 August 2026 — 81,465 subscribers30 August 2026 — 74,055 subscribers31 August 2026 — 71,063 subscribers1 September 2026 — 64,467 subscribers23 August 20261 September 2026
10 measurements spanning 10 days, net -18,042. 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 61,761–85,215 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 15:4264,467-6,596
31 Aug 2026, 15:0871,063-2,992
30 Aug 2026, 16:0974,055-7,410
29 Aug 2026, 18:1381,465-182
28 Aug 2026, 14:5381,647-160
27 Aug 2026, 12:3481,807-49
26 Aug 2026, 13:1681,856-121
25 Aug 2026, 12:3281,977-220
24 Aug 2026, 14:1782,197-312
23 Aug 2026, 01:0082,509first reading

Engagement

105 posts held, back to 22 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.13%
avg views ÷ 64,467 subscribers
Avg views / post
2,020
105 posts measured
Reaction rate
0.022%
reactions ÷ views · ER floor
Posts in window
105
of 105 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 105 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 1 September 2026
Posts held105 (22 August 20261 September 2026)
Views total212,135
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 15:17 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
18m 53s
Average length
32s

Measured directly from 35 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 105 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 105 most recent posts we hold, published 22 August 2026 to 1 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.

Recent posts

1 Sept 2026, 05:01 UTC≈6,050 viewsread 1 September 2026
Video

🥇 【付费广告】本频道赞助商 🥰 【快速致富方法认准以下游戏】💸💸💸💸 🌟🌟🌟🌟🌟 新人扶持66U~大额无忧来6U.com!🌟 ========================== 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 ========================== 😀😀😀😀😀9G.COM 全球布局 实力保障 =================== 🏆【Y3国际娱乐城】全球空降独家待遇 打造全网最牛线上国际娱乐城 =================== 😁😁😁😁😁😁😁 全网召集老玩家VIP 1:1平移,最高可领取77777U ========================== 😀⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️注册送28.8U ⚡️人民币注册 ⚡️USDT注册⚡️彩票注册 =================== 🐦🕊🦋🐇充值笔笔送3%东南亚首创 人民币USDT双系统娱乐全网零曝光零差评! ======

1 Sept 2026, 05:00 UTC2 viewsread 1 September 2026
Photo

#网友曝光 #全网曝光 #吃瓜社曝光 真名:#张小坤 常用代号:李文、自由、费可 身份证号:621422199906230053 籍贯:陕西省安康市汉阴县 过往从业:原四大东风五洲公司狗推后面去了柬埔寨 核心人品:专职吃软饭、骗女人钱、情感杀猪、做人毫无底线 我与张小坤以正式恋爱关系相处,我就是一个出来东南亚打拼的女孩, 相处期间,我被他循序渐进、骗走了 四十万人民币,时间过去两年了每天找任何理由推脱,就是不想还,有本事你永远别回国 三四十万,是我辛辛苦苦攒下的全部积蓄,被他用感情名义骗走,和你谈恋爱,不求花你的钱,结果还被他骗走我所有积蓄你可有良心 最后真心忠告所有女生 灰产狗推出身的男人,绝对不能碰! 深谙骗人套路、毫无道德底线、以骗人为职业。 深情全是演的,可怜全是装的, 唯一真实的就是——吃软饭、骗女人钱、榨干你为止。

1 Sept 2026, 05:00 UTC3 viewsread 1 September 2026
Photo

#网友投稿 #全网曝光 #吃瓜社曝光 🇹🇭 泰国“不忠率”全球排名第一 根据《曼谷邮报》结合 World Population Review 数据发布的 2026 年全球不忠率(Infidelity Around the World)排名,泰国以 51% 的比例高居全球榜首。 据悉,此排名基于各项自愿匿名调查中受访者“坦白承认”自己曾对伴侣不忠的数据,因此很大程度上反映的是不同文化和社会观念下人们在调查中承认此类行为的意愿或比例。 排名中没有柬埔寨 因为柬媒广发转发 在这个问题上 柬埔寨赢泰国~~

1 Sept 2026, 05:00 UTC3 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 🇱🇦 老挝公安部专项行动 抓获30名涉案人员 8月29日,老挝公安部专项工作组在首都万象展开行动,突击清查了位于西科达崩县(3处)和赛色塔县(1处)共4处网络犯罪及在线赌博窝点。 行动共逮捕30名犯罪嫌疑人(含1名女性),涉及中国籍22人、越南籍7人及老挝籍1人;现场查获大批作案工具,包括台式电脑、笔记本电脑、手机、SIM卡及猫池(SIM box)等。目前,案件正在进一步审理中。

1 Sept 2026, 05:00 UTC3 viewsread 1 September 2026
Photo

#网友投稿 #全网曝光 #吃瓜社曝光 #被骗300万还不够 诈骗集团再索150万,台湾大姐反手设局抓车手 台湾新北市瑞芳一名邱姓女子遭遇“保证获利”投资骗局,先后被诈骗集团以“跨境投资”“海关扣款”“补缴关税”等理由骗走300万元(新台币)。 没想到骗子拿走300万后仍不罢休,竟再次要求她面交150万元。 就在准备借钱筹款时,邱女士看到警方反诈宣传,发现骗子的话术与自己的遭遇高度吻合,立即报警。 随后在警方安排下,她假装答应面交,并约对方于8月28日到家中取钱。当天,瑞芳警方出动13名警员埋伏。 傍晚,一名56岁赖姓女车手搭乘出租车到场取款,刚进门便被警方当场逮捕,手机等涉案物品也被查扣。 300万已经骗走,还想再拿150万,结果这一次钱没拿到,人先进了警局。 警方提醒:看到“保证获利”“稳赚不赔”“投资老师”等话术一定要提高警惕,所谓稳赚的投资,最后往往只保证骗子稳赚。

1 Sept 2026, 05:00 UTC3 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 打击电诈影响柬埔寨经济?官方:只有灰产受影响 据《湄公河独立报》报道,位于柬越边境的柴桢省巴域市(木牌)是柬埔寨主要电诈聚集地之一,遍布赌场和酒店园区,是仅次于西港的柬埔寨主要的电诈中心之一。今年1月开始,当地大量人员撤离,一度出现混乱场面。 一些食品摊贩、出租车司机、建筑工人以及其他依靠电诈周边经济谋生的人曾表示,当地经济随着电诈产业迅速扩张而繁荣,也随着打击行动和园区关闭而迅速衰退。 但柴桢副省长孟英称,打击电诈并没有给正常经济带来什么影响。“大家也不用太担心,那些真正觉得受影响的兄弟姐妹基本都是靠灰产吃饭的。” 孟英称,柴桢省共有13个经济特区,其中12个不存在电诈活动,每年创造约5亿美元产值。但他没有说明第13个经济特区的情况。 他还提醒房东,在出租房屋时必须注意租客身份,以免因打击电诈行动而遭到处罚。 对于靠建房出租赚钱的民众,孟英也表示歉意。他说:“我们也向那些建房

1 Sept 2026, 04:59 UTC3 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 木牌突查4处地点,查8名越南人1印尼人 8月31日,柴桢省警方在木牌一处住宅区突查4个地点,共发现9名外国人,包括8名越南人和1名印度尼西亚人,其中2名越南人没有护照,已被带走处理。 警方还在其中一处地点发现大批电子设备,怀疑属于走私商品,现场已被暂时封锁等待进一步检查

31 Aug 2026, 09:06 UTC≈5,710 viewsread 1 September 2026
Video

🥇 【付费广告】本频道赞助商 🥰 【快速致富方法认准以下游戏】💸💸💸💸 🌟🌟🌟🌟🌟 新人扶持66U~大额无忧来6U.com!🌟 ========================== 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 ========================== 😀😀😀😀😀9G.COM 全球布局 实力保障 =================== 🏆【Y3国际娱乐城】全球空降独家待遇 打造全网最牛线上国际娱乐城 =================== 😁😁😁😁😁😁😁 全网召集老玩家VIP 1:1平移,最高可领取77777U ========================== 😀⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️注册送28.8U ⚡️人民币注册 ⚡️USDT注册⚡️彩票注册 =================== 🐦🕊🦋🐇充值笔笔送3%东南亚首创 人民币USDT双系统娱乐全网零曝光零差评! ======

31 Aug 2026, 09:04 UTC5 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 #重点曝料🚨【全网曝光·特大外汇诈骗主犯携数十亿USDT潜逃马来西亚吉隆坡】🚨 【基本信息】 姓名:刘顺 性别:男 民族:汉 出生日期:1999年4月18日 身份证号:420983199904186418 户籍地:湖北省孝感市广水市关庙镇笔山村杨家岗 💬 在用微信号:Xyl8792(昵称"Au",鲸鱼量化logo头像,地区显示广东深圳,目前仍在正常使用!)银行卡号:6231900014035655(平安银行,实名刘顺,最关键线索) 💳 📧 邮箱:[email protected] 🎬 自媒体账号:"Au交易日记"(视频号/抖音/小红书,自称"深耕交易十多年 主打EA",实为虚假包装——刘顺1999年生仅27岁,不可能深耕十多年) (附身份证照片+鲸鱼量化名片+在用微信资料页+线下授课照片,见上图) ⚠️ 涉案情况: 刘顺系SBCFX星桥资本(Star Bridge Capita

31 Aug 2026, 09:04 UTC4 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 刘忍被抓回国,拖欠2万美元运费 “这批沙发原本是给KTV买的,货已经到了,老板却被抓回国了,前后还欠我们大约2万美元运费,估计很难要回来了。” 走进吴先生位于金边的物流仓库,一排排货物映入眼帘:沙发、洗衣机、净水器、鱼缸、篮球架、保险柜、三轮车、高尔夫球车、高速网线……品类繁杂,堆积如山。 其中,一批原本为KTV采购的沙发,收货人是一名刘姓大佬。据吴先生介绍,对方后来在柬埔寨被抓回国,仅这批沙发就拖欠1.1万美元运费,加上此前欠下的其他费用,累计欠款约2万美元。

31 Aug 2026, 09:04 UTC4 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 #最新消息 在金边市 Chroy Changva 区 OCIC 公园附近的一条河中发现一具漂浮的尸体。

31 Aug 2026, 09:04 UTC4 viewsread 1 September 2026
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#网友投稿 #全网曝光 #吃瓜社曝光 这两天发现波贝位置中的排屋有大量多外籍人员陆续搬运手机、电脑及生活用品进入并入住,人员进出及物品搬运情况较为频繁,根据暗中观察,白天有专门送餐、房间一直亮,情况较为异常,存在在排屋内从事非法活动的可能 现将上述情况向有关部门反映,恳请省、市相关部门予以重视,并安排有关人员对相关区域进行核查,如发现存在违法违规行为,请依法依规进行处理,以维护当地正常的社会秩序和公共安全。

Showing the 12 most recent of 105 posts we hold for @aa35924. 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 — 999,102 of 1,629,419 entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜社 曝光 🇨🇳” (@aa35924), 64,467 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/aa35924.

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.