#频道三废 弱智广告机器人… 以前发一两句还得甄别一下,现在发这么长串演得太不像了
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Channel
@fucku_idiot
On this record: Topic · 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
40,752subscribers
+1,242 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 | 4 October 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/fucku_idiot |
Memes & entertainment — 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 96% 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 |
|---|---|---|
| 4 Oct 2026, 00:21 | 40,752 | +293 |
| 25 Sept 2026, 02:41 | 40,459 | +124 |
| 17 Sept 2026, 04:58 | 40,335 | +70 |
| 15 Sept 2026, 07:40 | 40,265 | +43 |
| 13 Sept 2026, 16:18 | 40,222 | +49 |
| 11 Sept 2026, 19:58 | 40,173 | +36 |
| 9 Sept 2026, 06:17 | 40,137 | +53 |
| 5 Sept 2026, 22:18 | 40,084 | +34 |
| 2 Sept 2026, 09:46 | 40,050 | +15 |
| 1 Sept 2026, 07:05 | 40,035 | +19 |
| 31 Aug 2026, 04:28 | 40,016 | +28 |
| 30 Aug 2026, 06:58 | 39,988 | +15 |
| 29 Aug 2026, 07:53 | 39,973 | +16 |
| 28 Aug 2026, 08:25 | 39,957 | +11 |
| 27 Aug 2026, 11:46 | 39,946 | +27 |
| 26 Aug 2026, 14:05 | 39,919 | +34 |
| 25 Aug 2026, 12:22 | 39,885 | +12 |
| 24 Aug 2026, 14:49 | 39,873 | +58 |
| 22 Aug 2026, 19:35 | 39,815 | +53 |
| 21 Aug 2026, 07:53 | 39,762 | first reading |
216 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 110 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.
| Window | Rolling 30 days · latest post in window 3 October 2026 |
|---|---|
| Posts held | 216 (3 August 2026 – 3 October 2026) |
| Views total | 262,328 |
| Reactions total | 6,079 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 01:34 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 4 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.
Measured directly from 28 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.
14,842 reactions across 215 posts, in 53 distinct kinds. The most used accounts for 40.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 6,002 | 40.4% | |
| 🤣 | 2,553 | 17.2% | |
| 💅 | 1,699 | 11.4% | |
| 🤡 | 856 | 5.77% | |
| 🍾 | 303 | 2.04% | |
| 🥰 | 299 | 2.01% | |
| 🤮 | 291 | 1.96% | |
| 🤯 | 270 | 1.82% | |
| 😱 | 252 | 1.70% | |
| 😭 | 234 | 1.58% | |
| ❤ | 199 | 1.34% | |
| 🤪 | 183 | 1.23% | |
| 🌭 | 165 | 1.11% | |
| 👍 | 156 | 1.05% | |
| 🖕 | 151 | 1.02% | |
| 🔥 | 144 | 0.97% | |
| 🌚 | 117 | 0.788% | |
| 🤓 | 110 | 0.741% | |
| 😇 | 103 | 0.694% | |
| 💩 | 73 | 0.492% | |
| 33 further kinds | 682 | 4.60% |
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 216 of the 216 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 14,842 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 216 most recent posts we hold, published 3 August 2026 to 3 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.
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 216 most recent posts we hold for this entry, published 3 August 2026 to 3 October 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.
#频道三废 弱智广告机器人… 以前发一两句还得甄别一下,现在发这么长串演得太不像了
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三轮车强行左转酿事故,辩称他从后面撞我的 #文明交通礼行天下 ▎Source 小编笑了 这回旋撞击跟动画片似的 #马路轶事录
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头套黑色塑料袋,手持身份证“实名举报公司国庆节不放假”,四川通报:商家为提升卖货效果,虚构剧情摆拍,责令下架视频 ▎Source
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国泰商务舱预订码给到“DIE”…客服回复绝了 前阵子订了@国泰航空(Cathay Pacific)的商务舱,结果出票那一刻我真的愣住了…… 系统生成的预订码(PNR)前三个字母大写加粗写着:DIEXXX ???😵💫 平时飞国泰体验都蛮好的,但看到这几个字母心里真的超级隔应!作为一个面向全球乘客的大牌航空公司,预订系统算法难道连最基础的敏感词/不吉利词汇过滤(Exclusion Filter)都没设置吗?这但凡换个迷信或者心理敏感一点的乘客,看到“DIE”开头的心情该有多糟? 落地后我找客服反馈并要求赔偿,结果他们的回复彻底让我无语了…… 📌 【国泰客服邮件中文翻译总结】 > * “我们懂,但这就是个巧合”:承认我看到的字母组合让人很不爽,但辩称系统预订码都是随机生成的,没有任何实际含义或诅咒的意思。 > “系统改不了,您将就着吧”:预订码一旦生成无法人工更改,而且它不影响你的机票使用和航班行程。 > “补偿是没有的,意…
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**房东说冰箱贴是迷信** 我是整租,偶然房东进来修门的时候看见了冰箱上的冰箱贴,说这是迷信,不能出现在她家。 我平时不追星也不信教,可能见识比较少,想来问问小红书的小伙伴们,信仰tzj的,像这些博物馆买来的冰箱贴,即使在租出去的房子里放也是忌讳吗? #冰箱贴 #文创 #租房 #租房奇葩事 #迷惑行为大赏 📝 Telegraph @🍊 (186679107) ❤️ 10318 ⭐ 634 💬 4339 🔗 3970 🕜 2026-09-25 13:28:23 📍 Fujian 📕 Note Source via 小红书一瞥 #简中互联网清朝人
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https://x.com/YunJiu/status/2101135640247276026
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性压抑理论创始人峰哥,之前 24 年网络对喷 + 隔空表白的事,没想到对方起诉成功后,还有下文。。 深圳福田法院发公示,峰哥本名为周丽峰,因败诉后拒不履行法院判决,应原告申请强制执行,法院登报挂出实名信息和判决内容。 via 敏感经济信息分享
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Photo, posted without a caption
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智熄了 via 维咔VikACG通知频道 - 资源、学术讨论与漫画 #非常好思考
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哈哈哈哈哈哈哈哈哈哈哈哈哈 嫌spa太绿色,给差评。有意思。 #整治社会不良风气 ▎Source “你们总不至于想赚快钱坏了口碑” 哈哈哈哈哈哈
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第一次做国际航班,请问这时间对吗? 两个月后的飞机,航班飞行13小时,但出发时间和到达时间就显示飞6个小时!去哪里查看准确的起飞时间和到达时间呢? 📝 Telegraph @momoma (4359482625) ❤️ 0 ⭐ 0 💬 12 🔗 0 🕠 2026-10-01 17:31:41 📍 Hebei 📕 Note Source
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谁能帮帮我哎 家里老人被诈骗了 怎么维权哎 说啥都不听 各位云朋友提提意见呗 谢谢大家了[哭惹R][哭惹R][哭惹R][哭惹R] 📝 Telegraph 主页是引流号,编辑已移除链接
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Showing the 12 most recent of 216 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 10 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.
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 6 handles 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 38 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“简中互联网废物大赏” (@fucku_idiot), 40,752 subscribers as measured 4 October 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.