👑关注骗子悬赏通缉 @dcddd333 💬交流群 @dcaaa555 @dcbbb555 #网友投稿 #曝光 #凯撒皇宫 #毛刑俊 #f贩卖人口 现在严峻形势下顶风作案.1月9号凯撒皇宫6楼会所,负责人阿毛(真名毛刑俊)伙同他的朋友.骗他职员帮忙搬行李的名义骗下楼上车强制把人卖到黑园区 毛刑俊买卖人口,贩毒,吸毒,赌博,买卖枪支柬埔寨不是法外之地希望政府部门把他严办 📌一键订阅TG圈资源 💎黑台黑料曝光 ➡️投稿商务广告 @laoba16800
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Channel
@dcddd333
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
41,266subscribers
-4,055 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003574617621 |
|---|---|
| Type | Channel |
| Usernames | @dcddd333 @pianzi168 |
| Description | 黑公司曝光,个人爆料,各类新闻,大事件吃瓜,悬赏找人 ✅广告投放/联系客服 :@laoba16800 🐲专注社群运营DC广告联盟 @dogdc8 #相似频道 @dcaaa888 @dcbbb888 @dcccc888 @dcddd888 @dceee888 @dcfff888 @dcggg888 @dcaaa777 @dcbbb777 @dcccc777 @dcddd777 @dcbbb333 @dcbbb333 @dcccc333 @dcddd333 @dceee333 @dogdc88 |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/dcddd333 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 17:54 | 41,266 | no change |
| 13 Aug 2026, 15:35 | 41,266 | -484 |
| 12 Aug 2026, 16:53 | 41,750 | no change |
| 12 Aug 2026, 15:53 | 41,750 | -313 |
| 11 Aug 2026, 15:38 | 42,063 | -2 |
| 11 Aug 2026, 14:18 | 42,065 | -998 |
| 10 Aug 2026, 18:32 | 43,063 | -43 |
| 10 Aug 2026, 12:58 | 43,106 | -615 |
| 9 Aug 2026, 20:21 | 43,721 | -114 |
| 9 Aug 2026, 13:21 | 43,835 | -430 |
| 8 Aug 2026, 17:38 | 44,265 | -168 |
| 8 Aug 2026, 11:06 | 44,433 | -888 |
| 7 Aug 2026, 19:16 | 45,321 | first reading |
89 posts held, back to 7 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 18 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. It is computed over the 85 of 89 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 89 (7 August 2026 – 13 August 2026) |
| Views total | 32,179 |
| Reactions total | 5,601 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 00:27 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 14 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 19 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.
5,601 reactions across 85 posts, in 5 distinct kinds. The most used accounts for 20.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,159 | 20.7% | |
| 😁 | 1,156 | 20.6% | |
| ❤ | 1,114 | 19.9% | |
| 🔥 | 1,104 | 19.7% | |
| 🎉 | 1,068 | 19.1% |
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 85 of the 89 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 5,601reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 7 August 2026 to 13 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.
👑关注骗子悬赏通缉 @dcddd333 💬交流群 @dcaaa555 @dcbbb555 #网友投稿 #曝光 #凯撒皇宫 #毛刑俊 #f贩卖人口 现在严峻形势下顶风作案.1月9号凯撒皇宫6楼会所,负责人阿毛(真名毛刑俊)伙同他的朋友.骗他职员帮忙搬行李的名义骗下楼上车强制把人卖到黑园区 毛刑俊买卖人口,贩毒,吸毒,赌博,买卖枪支柬埔寨不是法外之地希望政府部门把他严办 📌一键订阅TG圈资源 💎黑台黑料曝光 ➡️投稿商务广告 @laoba16800
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👑关注骗子悬赏通缉 @dcddd333 💬交流群 @dcaaa555 @dcbbb555 #网友投稿 #曝光骗子 对方生成可以卖假钞,500块钱33张可以发快递,本人通过支付宝付款后不发货,随后对方拉黑 📌一键订阅TG圈资源 💎黑台黑料曝光 ➡️投稿商务广告 @laoba16800
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👑关注骗子悬赏通缉 @dcddd333 💬交流群 @dcaaa555 @dcbbb555 网友投稿 #曝光此人叫 #刘豪杰(凯文),四川成都人。之前在西港黄乐园区,公司名叫创亿集团,他担任总监一职,在国内通缉网上早已榜上有名。 抱歉,占用大家时间及公共资源 本来不想曝光的,但是我给的时间已经够多了,我的耐心早已经没了 此人以感情的名义跟我在一起,从23年9月份开始,我累计转账借给他人民币近100万 到后面我才知道,他有老婆小孩。截至今年为止,他还我的人民币不到10000块。这些钱都是我辛辛苦苦上班赚来的钱。我承认自己恋爱脑,我傻,我蠢。 今天曝光你,我知道你能看到。我给你3天时间,3天时间内如果没有联系我,我会在国内立案 所有转账记录以及聊天记录,我都有 另外,不管你在东南亚任何地方,我都会动用我所有的资源及人脉找到你 我这边一旦立案,你相信我,我会给你办成专案,够你喝一壶的了。 你就算在天涯海角,我也要倾家荡产让人把你…
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👑关注骗子悬赏通缉 @dcddd333 💬交流群 @dcaaa555 @dcbbb555 #网友投稿 #曝光啊彪,你说你要搞体育盘,我让朋友介绍了个团队给你,2个月给你做到负盈利100多万,赚到钱了你别人提成和工资都不给了,不管你现在出什么事,人在哪里,一个礼拜把这个事情搞清楚,如果你不处理好,我就把你国内信息发出来,到时候就别怪我无情了。 📌一键订阅TG圈资源 💎黑台黑料曝光 ➡️投稿商务广告 @laoba16800
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Showing the 12 most recent of 89 posts we hold for @dcddd333. 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 — 338,141 of 1,183,361entries 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.
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 15 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
@dcddd333 named 8 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“骗子曝光/悬赏通缉令🐲” (@dcddd333), 41,266 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/dcddd333.
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.