Channel
@lydmqq
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
4,754subscribers
-193 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002208923575 |
|---|---|
| Type | Channel |
| Username | @lydmqq |
| Description | 动漫频道：@lydmmm 交流群：@lydmzz 频道吃瓜： @lydmqq 吃瓜交流群：@lydmbb |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/lydmqq |
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 42% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @lydmmm/48177 Jul 2026, 04:04 UTC | @lydmqq/4166 · this entry7 Jul 2026, 04:04 UTC | 1.00 | under a minute |
| @lydmmm/48217 Jul 2026, 09:36 UTC | @lydmqq/4170 · this entry7 Jul 2026, 09:36 UTC | 1.00 | under a minute |
| @lydmmm/48228 Jul 2026, 08:24 UTC | @lydmqq/4171 · this entry8 Jul 2026, 08:24 UTC | 1.00 | under a minute |
| @lydmmm/48258 Jul 2026, 08:26 UTC | @lydmqq/4174 · this entry8 Jul 2026, 08:26 UTC | 1.00 | under a minute |
| @lydmmm/482610 Jul 2026, 05:03 UTC | @lydmqq/4175 · this entry10 Jul 2026, 05:03 UTC | 1.00 | under a minute |
| @lydmmm/483010 Jul 2026, 05:09 UTC | @lydmqq/4179 · this entry10 Jul 2026, 05:09 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @lydmmm | 10 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @lydmmm (10–0) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 10 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 7 July 2026 to 17 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @lydmmm. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 21:21 | 4,754 | -162 |
| 8 Aug 2026, 03:07 | 4,916 | -31 |
| 7 Aug 2026, 16:01 | 4,947 | first reading |
10 posts held, back to 7 July 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 7 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 17 July 2026 |
|---|---|
| Posts held | 10 (7 July 2026 – 17 July 2026) |
| Views total | 17 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 05:24 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 12 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 3 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.
#老挝资讯：丰沙里省破获网络诈骗案 5名老挝籍嫌犯落网 7月15日，老挝丰沙里省（Phongsaly）本泰县（Bun Tạy）警方将5名涉嫌从事网络诈骗活动的老挝籍嫌疑人（其中包括1名女性）移交丰沙里省公安机关，进一步调查并依法处理。 据本泰县警方介绍，7月9日，警方联合本泰县人民检察院，对位于Pho Thong村的一处出租房进行检查。此前，执法部门发现该地点涉嫌从事网络诈骗活动，因此依法展开突击行动。 行动中，警方当场抓获5名老挝籍嫌疑人，并查获一批涉嫌用于实施网络诈骗的作案工具，包括： 台式电脑5台； 笔记本电脑2台； iPhone手机13部； 老挝身份证5张； 电动自行车1辆； 游戏机1台； ATM银行卡2张； 银行存折4本。 在完成初步讯问及相关手续后，本泰县警方已将5名嫌疑人及全部涉案物品移交丰沙里省公安机关，以进一步扩大调查范围，并依法追究相关人员法律责任。 这是老挝近期侦破的最新一起网络诈…
#柬埔寨资讯：波贝继续开展行政检查，两处场所被查，14名泰国人接受调查 7月10日，按照柬埔寨国家警察总署总监苏泰（Sao Thet）的指示，国家警察总署专业执法工作组继续联合波贝市政府，在班迭棉吉省波贝市开展行政检查行动，对涉嫌聚集外国人、从事网络诈骗（Online Scam）及其他违法犯罪活动的场所进行排查。 此次行动由国家警察总署副总监伊·索凯（Ei Sok Khy）、蒙·苏塔（Muong Sothea）、森·万维拉（Sam Vann Veasna）率队，联合波贝市市长吉·胡尔（Keat Hul）、班迭棉吉省警察局、省宪兵部队等单位开展，并由副检察官莫特·桑巴特（Mut Sambath）依法监督执行。 第一处检查地点 执法人员在业主代表配合下，对位于波贝市乌珠拉分区（Ou Chrov）三马基棉吉村的一栋双子楼进行检查。 该建筑分别高29层和13层，共设338个房间，其中包括： 住宿房间325间； 储物间13间； 大…
🚀 Y7震撼上线 · 实力为王 🎉 新会员首充最高赠送 1,288,888 🎉 🤑 每日首存 10% 额外加赠 💸 每日救援金 5% 补贴 ⚡ 充值提款 秒速到账 👑 实力平台 · 公平竞技 · 安全畅玩 👑 🎮 锁定【Y7】开启幸运时刻 🎰 官方网址： https://y799.net 官方网址： https://y799.net 官方网址： https://y799.net
#柬埔寨资讯：79名泰国人涉网络赌博案件，经波贝口岸被驱逐出境 7月10日，柬埔寨当局通过波贝国际边境口岸，依法驱逐79名泰国籍人员出境。 ~~~~~~~~~~~~~~~~~~~~~~~~~ 本群只负责推送真假自己辨认 💫 东南亚吃瓜曝光频道 💫东南亚交流群 💫供需卡商曝光吃瓜频道 💫卡商吃瓜曝光交流群 💫澄清投稿联系：@abc318225 💫招商广告联系：@lydmcc
#国内新闻：深圳公安打掉一“荐股”盘口，抓了245人！ 近日，深圳市公安局龙岗分局成功打掉一盘踞于龙岗坂田街道的特大“荐股引流”电信网络诈骗团伙，冻结涉案资金2408万元，斩断一条集非法买卖公民信息、电话引流、虚假荐股、诱导转账于一体的诈骗产业链。 行动中，深圳警方端掉全部诈骗窝点，现场抓获全部247名涉案嫌疑人，查扣大批作案工具。 目前，245名嫌疑人已被刑事拘留。案件正在进一步侦办中。 PS：在国内开盘，是真勇～～ ~~~~~~~~~~~~~~~~~~~~~~~~~ 本群只负责推送真假自己辨认 💫 东南亚吃瓜曝光频道 💫东南亚交流群 💫供需卡商曝光吃瓜频道 💫卡商吃瓜曝光交流群 💫澄清投稿联系：@abc318225 💫招商广告联系：@lydmcc
#柬埔寨资讯：金边突查5栋住宅，13名外籍人员涉网络诈骗被查获 7月9日，柬埔寨金边市棉芷区持续开展打击网络诈骗专项行动。根据金边市政府统一部署，俄罗斯盖区（Russey Keo）政府联合多部门组成执法队，对辖区一处住宅区展开突击检查，当场查获13名涉嫌非法居留并从事网络诈骗（Online Scam）活动的外籍人员。 行动中，执法人员共发现13名非法居留的外籍人员，其中女性1人。经进一步调查，执法部门确认上述人员确实涉嫌从事网络诈骗（Online Scam）违法犯罪活动。 目前，13名外籍人员及现场查获的相关涉案物品，已全部移交金边市警察局专业部门依法进一步调查处理。 ~~~~~~~~~~~~~~~~~~~~~~~~~ 本群只负责推送真假自己辨认 💫 东南亚吃瓜曝光频道 💫东南亚交流群 💫供需卡商曝光吃瓜频道 💫卡商吃瓜曝光交流群 💫澄清投稿联系：@abc318225 💫招商广告联系：@lydmcc
#网友投稿 东南亚是真的混不下去了，最终还是选择回国。 在那边跟本地女人谈感情，聊来聊去绕不开一个字——钱。 不是家里生病的妈妈，就是嗜赌的爸爸，再不然就是还在读书的弟弟妹妹，各种理由层出不穷，最后还是得掏钱。 回国之后才发现，还是国内舒服。认识了一群年轻漂亮的妹妹，个个打扮得花枝招展，小丝袜一穿，氛围感直接拉满，花点小钱就能玩得开心。 今晚直接把伟哥当饭吃，抱着“视死如归”的心态冲了 ~~~~~~~~~~~~~~~~~~~~~~~~~ 本群只负责推送真假自己辨认 💫 东南亚吃瓜曝光频道 💫东南亚交流群 💫供需卡商曝光吃瓜频道 💫卡商吃瓜曝光交流群 💫澄清投稿联系：@abc318225 💫招商广告联系：@lydmcc
#网友爆料 此女是广西南宁人，长期做人事，曾用名 #娇娇 现用名九月，本人与照片差距巨大，跟头母猪一样，而且特别骚，一直以来色招行业垃圾人员 （因为精英看不上这样的），还自以为貌美如花，天天在社交平台发一些自己P的不能再P的照片 经常出没西港各大KTV，包厢，专门靠巴结主管，老板生活，被他色招卖掉的人不在少数 此女孩招募了国内广西的同学、老乡等等相关人员，我也是其中之一，现在我已经回国了，我会提交全部资料给警方，你即使不回国，国内警方也会逮住你。 现住址西港，皇家花园酒店旁边的晓薇美容店，楼上707，并且此栋民居，有很多人在居家办公，希望有关部门严查此人 ~~~~~~~~~~~~~~~~~~~~~~~~~ 本群只负责推送真假自己辨认 💫 东南亚吃瓜曝光频道 💫东南亚交流群 💫供需卡商曝光吃瓜频道 💫卡商吃瓜曝光交流群 💫澄清投稿联系：@abc318225 💫招商广告联系：@lydmcc
#现场视频：老挝警方移交174名涉嫌电信网络诈骗犯罪嫌疑人回国调查 据老挝公安电视报道，近日，老挝警方将174名涉嫌电信网络诈骗犯罪嫌疑人移交给中国警方。这些犯罪嫌疑人随后搭乘中老友谊动车🚄回到中国，接受进一步调查处理。 此次行动标志着中老两国在打击跨境电信诈骗犯罪方面的紧密合作，体现了双方在维护地区安全和社会稳定方面的共同努力。相关部门将依法依规，严查严处涉案人员，保障公众利益。 ~~~~~~~~~~~~~~~~~~~~~~~~~ 本群只负责推送真假自己辨认 💫 东南亚吃瓜曝光频道 💫东南亚交流群 💫供需卡商曝光吃瓜频道 💫卡商吃瓜曝光交流群 💫澄清投稿联系：@abc318225 💫招商广告联系：@lydmcc
#老挝 纳赛通县警方在伊莱泰村抓获23名诈骗犯，缴获大量赃物 6月30日下午，老挝纳赛通县警方在伊莱泰村展开联合突击行动，成功捣毁一诈骗团伙，抓获23名嫌疑人。 据万象首都安全局报道，纳赛通县公安局外国人及旅游管理处联合伊莱县警局及伊莱泰村政府，于当日下午1时45分在纳赛通县伊莱泰村的公寓及出租房内进行搜查，拘捕男女嫌疑人23名，其中包括9名中国籍与14名越南籍人员，女性3名。 警方现场查获大量赃物，具体包括：16台笔记本电脑、77部手机、2块电池、1台电脑显示器、2部手机、现金100万老挝基普、80万越南盾、3张银行卡、2张越南身份证、1块手表、2条仿黄金项链、1对耳环、9本护照及其他相关物品。 目前，那赛通县警方已将全部嫌疑人移送至临时拘留中心，正依法展开进一步调查，案件范围仍在扩大中。警方表示将严格遵循法律程序，确保案件真相彻底查明，坚决打击各类诈骗犯罪活动，维护社会治安稳定。 ~~~~~~~~~~~~~~~~~…
Showing the 10 most recent of 10 posts we hold for @lydmqq. 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 — 47,500 of 1,151,006entries 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.
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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“供需卡商吃瓜曝光频道” (@lydmqq), 4,754 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/lydmqq.
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.