https://fxtwitter.com/alexlizeros/status/2089530483487215821
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Channel
@fucku_idiot
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
39,669subscribers
+159 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001189234367 |
|---|---|
| Type | Channel |
| Username | @fucku_idiot |
| Description | 本频道是纯兴趣驱动的非盈利频道,暂不接受任何软硬广告刊登,亦不接受挂人开盒网暴骚扰信息! 投稿方式:私聊 @zhcnidiot_bot 所有投稿均做匿名处理 本频道定位是中文互联网【有乐子】的各种废物贵物,包括但不限于:无常识/生活不自理/文盲/落后陋习/封建迷信/反智/民科/自大逼/杠精/嘴硬/损人利己/巨婴/无端发病/穷蛆 等以及广义傻逼,治疗各位乐子人的低血压。可点击置顶链接查询频道tag 本频道的优良传统是评论区和小编可以成为新的废物投稿,祝各位废物乐子人心情愉悦,蟹蟹。 |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/fucku_idiot |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 07:27 | 39,669 | +5 |
| 17 Aug 2026, 10:04 | 39,664 | +66 |
| 15 Aug 2026, 20:26 | 39,598 | +58 |
| 14 Aug 2026, 07:07 | 39,540 | +14 |
| 12 Aug 2026, 22:28 | 39,526 | -12 |
| 12 Aug 2026, 01:22 | 39,538 | +7 |
| 11 Aug 2026, 03:01 | 39,531 | +5 |
| 9 Aug 2026, 23:37 | 39,526 | +5 |
| 8 Aug 2026, 23:04 | 39,521 | +9 |
| 7 Aug 2026, 19:53 | 39,512 | +2 |
| 7 Aug 2026, 09:30 | 39,510 | no change |
| 7 Aug 2026, 09:26 | 39,510 | first reading |
57 posts held, back to 3 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 27 pagesof 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.
| Window | Rolling 30 days · latest post in window 18 August 2026 |
|---|---|
| Posts held | 57 (3 August 2026 – 18 August 2026) |
| Views total | 154,628 |
| Reactions total | 3,676 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 12:26 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 18 August 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 10 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.
3,676 reactions across 56 posts, in 31 distinct kinds. The most used accounts for 38.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 1,416 | 38.5% | |
| 🤣 | 841 | 22.9% | |
| 💅 | 507 | 13.8% | |
| 🥰 | 144 | 3.92% | |
| 🍾 | 140 | 3.81% | |
| 🤮 | 128 | 3.48% | |
| 🤡 | 118 | 3.21% | |
| 🤪 | 88 | 2.39% | |
| 😭 | 51 | 1.39% | |
| 🤯 | 51 | 1.39% | |
| ❤ | 41 | 1.12% | |
| 🌚 | 36 | 0.979% | |
| 👍 | 28 | 0.762% | |
| 👻 | 22 | 0.598% | |
| 🏆 | 14 | 0.381% | |
| 💩 | 9 | 0.245% | |
| 🔥 | 9 | 0.245% | |
| 😈 | 6 | 0.163% | |
| 🆒 | 3 | 0.082% | |
| 💯 | 3 | 0.082% | |
| 11 further kinds | 21 | 0.571% |
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 57 of the 57 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 3,676reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 3 August 2026 to 18 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fucku_idiot. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 57 most recent posts we hold for this entry, published 3 August 2026 to 18 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
https://fxtwitter.com/alexlizeros/status/2089530483487215821
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夜市上想送给环卫工人,被拒了 苏州山塘街的姜汁大排,虽然挺好吃的,但太油了,吃了一块就不敢再继续吃了。 剩下没动过的打包想送给过路的路人,结果路人不要。 送给环卫工人,环卫工人也不要,还让我直接扔垃圾桶。。。。。 📝 Telegraph @繁星汇河 (4177015594) ❤️ 768 ⭐️ 204 💬 5296 🔗 1282 🕗 2026-08-17 20:00:04 📍 Jiangsu 📕 Note Source #别太把自己当回事了 不好吃,吃不完了,你帮我吃一下
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当约导师吃饭多打了一个“饭” [doge] 导师就是故意的 #导师 #导师评价 #只要导师选的好 #每天都有值得记录的瞬间 #导师日常 #实证论文 📝 Telegraph @wqw-1219 (49912979660) ❤️ 300 ⭐ 28 💬 50 🔗 86 🕡 2026-08-07 18:26:17 📍 Fujian 📕 Note Source #不废但乐
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飞书巧设连环计,实习生上断头台 通过飞书传小说被弹提醒了……leader叫我一看发现提醒的全是我的小说……#明天左脚踏进公司 #实习生 @奥杜邦 (8967252331) ❤️ 571 ⭐ 74 💬 211 🔗 698 🕖 2026-08-11 18:50:37 📍 Guangdong 📕 Note Source
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奉劝大家不要用牙齿咬手机 早上我的17pm被摔地上了,本来只是手机屏幕绿屏了,然后我上网搜怎么回事有一个帖子说可能屏幕分离了,然后我就想用牙齿咬回去(当时可能傻了[笑哭R]结果后玻璃就被我咬裂了,然后我男朋友不信邪也用牙齿咬了一下,结果也裂了如p2。。。 二编:有人说手机是假的,说我镜头发灰镜头膜组不一样啥啥的,我之前贴了镜头膜是这样的啊[笑哭R]而且本来发小红书我就是图一乐觉得好笑分享出来,不理解有的人为啥偏要找茬[汗颜R][失望R]这里p3再附上一张昨晚绿屏拍的照片#修手机 #手机体验感 #数码科技 #我的手机 #17pm #苹果手机 #17promax #抽象 #猎奇 📝 Telegraph @钰aaa (718533525) ❤️ 1628 ⭐ 79 💬 726 🔗 1848 🕤 2026-08-16 21:44:23 📍 Zhejiang 📕 Note Source #大聪明出院吧
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澳門七旬婦晨運遭摸下體 40多歲男外勞拒認罪稱「斷片」 澳門一名70多歲老婦,上周日(8月9日)清晨途經螺絲山公園一帶時,被一名男子觸碰下體,老婦慌亂跌倒,導致臉部和膝頭受傷,隨後報警求助。澳門治安警翻查天眼鎖定疑犯身份,至上周四(13日)在慕拉士大馬路附近,將一名40多歲男疑犯截獲。 涉案男子為外地僱員,任職裝修工人。事後有人否認犯案,供稱案發前一晚曾大量飲酒,未能回憶當日事情。澳門治安警目前以性騷擾和過失傷害身體完整性罪,將他移送檢察院偵辦。 AM730 #渴批性压抑不是哥们
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给各位准大学生一点小小的震撼😅… 也是快开学了,给在座的各位准大学生一点点小小的心灵震撼😅 主包也是历经了四年洗礼,毕业后皮肤都变得不好了[哭惹R] 对事不对人,每次说他才会勉强收拾下,好在这个人为人宽厚老实,就是懒出来的[笑哭R] 😂劝各位准大学生如果开学遇到不对劲的舍友时,在沟通无效的情况下,越早换宿舍越好 [暗中观察R]不知道大家还想了解大学哪些事呢,也好奇有没有其他大学生有过同款舍友… #大学宿舍 #大学生活 #准大学生 #大学 #寝室 #大学生不懂就问 #宿舍生活 #大学生现状 #破碎的大学生 📝 Telegraph @咩呦 (xb245150226200) ❤️ 3167 ⭐ 246 💬 1558 🔗 1598 🕧 2026-08-15 12:25:51 📍 Guangdong 📕 Note Source #低能大学初生
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开门杀被反杀!网友:头 手 腿哪个最疼?下车开门要留意!#安全第一位 #马路如虎口 ▎Source
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再强调一遍,不要用生僻字取名! 看似独一无二,实则是用脑过度! 因为名字是我们自己的代号,是给别人来识别我们的,大家都不认识,怎么识别! 用生僻字取名基本都是难为别人,坑害自己!#取名 #改名 #姓名学 #人工取名 #宝宝改名字 📝 Telegraph @刘永康姓名学 ❤️ 275 ⭐ 31 💬 869 🔗 85 🕤 2026-08-02 09:39:22 📍 Yunnan 📕 Note Source #二十一世纪小登起名文学
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小伙跟妻子吵架后,AI根据他的心理、性格和体能,贴心推荐了一条爬山线路散心,结果深夜被困海拔1300多米无人开发区;救援持续到次日凌晨 ▎Source
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https://arxiv.org/abs/2502.13846 https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/044 期刊文章出现:与上下文无关的“这版修订改善了可读性、精准度以及语言流利度,并保持了科学写作之正式的语气” —— 从AI复制粘贴忘了拿掉这一句,并且作者、审稿人、编辑都没注意到 不简中,但废物 #今日份的草台班子
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第一次见 中国买东西要交税费的 #误导消费者 #消费者信任 #被商家套路 #消费注意陷阱 #旅游购物避雷 #网购 #冲动消费是魔鬼 #拒绝买买买 #不要贪便宜 #侵犯消费者权益 📝 Telegraph @天才毛毛 (95867748595) ❤️ 5 ⭐ 1 💬 81 🔗 3 🕛 2026-08-08 11:50:29 📍 Fujian 📕 Note Source
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Showing the 12 most recent of 57 posts we hold for @fucku_idiot. 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.
@fucku_idiot edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 841,489 of 1,549,376entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 1 registered channel — 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.
@fucku_idiot named 1 handle 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 August 2026 — this entry's latest reading, not the date you are reading this.
“简中互联网废物大赏” (@fucku_idiot), 39,669 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/fucku_idiot.
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.