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👍12🤬1🥰1😍1😘1
Signed 全网收质量频道 @adggku

Channel
@LDGWJ
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Cite this entry
11,994subscribers
+1,440 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002492869056 |
|---|---|
| Type | Channel |
| Username | @LDGWJ |
| Description | 冷淡改文件官方 合作联系: @ldnbgwj66 This is our law firm's official channel. All content complies with laws and regulations, has been reviewed, and is free of violations. We reserve the right to pursue legal action against |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/LDGWJ |
Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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 the other topics.
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 in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 54 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 |
|---|---|---|---|
| @LDGWJ/37983 · this entry15 Aug 2026, 15:17 UTC | @LMGWJWD/4793217 Aug 2026, 08:27 UTC | 1.00 | 41 hours |
| @LDGWJ/38922 · this entry20 Aug 2026, 12:32 UTC | @LMGWJWD/4851420 Aug 2026, 12:32 UTC | 1.00 | under a minute |
| @LDGWJ/36483 · this entry7 Aug 2026, 19:49 UTC | @lingyunnb/290557 Aug 2026, 19:50 UTC | 1.00 | under a minute |
| @LDGWJ/37057 · this entry10 Aug 2026, 14:07 UTC | @lingyunnb/2910111 Aug 2026, 08:26 UTC | 1.00 | 18 hours |
| @LDGWJ/37978 · this entry15 Aug 2026, 14:57 UTC | @lingyunnb/2920217 Aug 2026, 03:33 UTC | 1.00 | 37 hours |
| @LDGWJ/37983 · this entry15 Aug 2026, 15:17 UTC | @lingyunnb/2920917 Aug 2026, 08:27 UTC | 1.00 | 41 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @LMGWJWD | 33 (8/8 hand-verifiable sample passed) | 1.00 | 4.0 hours | this entry (21–12) |
| @lingyunnb | 14 (8/8 hand-verifiable sample passed) | 0.98 | 37 hours | this entry (10–4) |
| @bjnbYYDS | 11 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | @bjnbYYDS (10–1) |
| @QYDKNB888 | 11 (8/8 hand-verifiable sample passed) | 1.00 | 24 hours | this entry (8–3) |
| @HENBnb | 11 (8/8 hand-verifiable sample passed) | 1.00 | 72 seconds | this entry (10–1) |
| @nullnb62 | 15 (7/8 hand-verifiable sample passed) | 1.00 | 23 hours | @nullnb62 (8–7) |
| @SHENYUANNB888 | 19 (8/8 hand-verifiable sample passed) | 1.00 | 18 hours | this entry (14–5) |
| @WuShenWj | 9 (7/8 hand-verifiable sample passed) | 1.00 | 1.8 hours | @WuShenWj (8–1) |
| @BaiLUOXUEGWJ | 9 (8/8 hand-verifiable sample passed) | 1.00 | 13 hours | this entry (9–0) |
| @qingzhu54188 | 16 (8/8 hand-verifiable sample passed) | 1.00 | 3.2 hours | even |
| @sevennb1 | 11 (8/8 hand-verifiable sample passed) | 1.00 | 6.8 hours | @sevennb1 (7–4) |
| @sdjyyds666 | 11 (6/8 hand-verifiable sample passed) | 1.00 | 6.5 hours | @sdjyyds666 (10–1) |
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. 47 of the 47 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 416 comparable posts for this entry, running 5 August 2026 to 10 November 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.
Of the group of 54 channels, the one whose matching posts we hold earliest is @LMGWJWD. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 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 is in a group of 54 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
3 more channels are in this same group but not listed individually here.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 14:15 | 11,994 | -22 |
| 8 Nov 2026, 22:46 | 12,016 | -15 |
| 7 Nov 2026, 12:06 | 12,031 | +11 |
| 6 Nov 2026, 10:59 | 12,020 | -13 |
| 5 Nov 2026, 09:25 | 12,033 | -18 |
| 4 Nov 2026, 12:06 | 12,051 | -16 |
| 3 Nov 2026, 13:30 | 12,067 | -14 |
| 2 Nov 2026, 16:26 | 12,081 | -5 |
| 1 Nov 2026, 19:08 | 12,086 | -24 |
| 31 Oct 2026, 19:07 | 12,110 | -1 |
| 30 Oct 2026, 22:16 | 12,111 | -3 |
| 29 Oct 2026, 21:19 | 12,114 | -13 |
| 28 Oct 2026, 21:01 | 12,127 | -9 |
| 27 Oct 2026, 21:17 | 12,136 | -15 |
| 26 Oct 2026, 22:36 | 12,151 | -19 |
| 25 Oct 2026, 23:56 | 12,170 | +2,025 |
| 24 Oct 2026, 21:44 | 10,145 | +32 |
| 23 Oct 2026, 23:35 | 10,113 | -11 |
| 22 Oct 2026, 21:21 | 10,124 | -16 |
| 21 Oct 2026, 20:11 | 10,140 | first reading |
741 posts held, back to 5 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 64 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 11 November 2026 |
|---|---|
| Posts held | 741 (5 August 2026 – 11 November 2026) |
| Views total | 7,924 |
| Reactions total | 2,657 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 08:58 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 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 39 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.
6,697 reactions across 720 posts, in 18 distinct kinds. The most used accounts for 68.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4,608 | 68.8% | |
| ❤ | 542 | 8.09% | |
| 😍 | 538 | 8.03% | |
| 😘 | 442 | 6.60% | |
| 🥰 | 409 | 6.11% | |
| 🕊 | 36 | 0.538% | |
| 🤬 | 26 | 0.388% | |
| 🤩 | 22 | 0.329% | |
| 😁 | 17 | 0.254% | |
| 😡 | 17 | 0.254% | |
| 🔥 | 14 | 0.209% | |
| 🍌 | 7 | 0.105% | |
| 😱 | 7 | 0.105% | |
| 🤔 | 7 | 0.105% | |
| 🤗 | 2 | 0.03% | |
| ❤🔥 | 1 | 0.015% | |
| 🌭 | 1 | 0.015% | |
| 🤓 | 1 | 0.015% |
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 741 of the 741 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 6,813 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 741 most recent posts we hold, published 5 August 2026 to 11 November 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.
Telegram’s own ‘edited’ marker: 2 of 160 posts held from the last 30 days (1.25%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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👍12🤬1🥰1😍1😘1
Signed 全网收质量频道 @adggku
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Signed 诚恳@chengken
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止痛药自动注入1.0 日期:2026.11.10 作者:沐屿 👑TG频道👑:@muyvnb 功能: 首页·一键注入/悬浮窗快捷| 档位预设方案 🌪️注入后自动上浮窗 🌪️临时闪示提示 🌪️档位等级选择250/350/400档 🌪️系统自检实时日志 🌪️Shizuku授权状态检测 🌪️悬浮窗权限一键授权 🌪️文件访问授权管理 🌪️今日注入次数统计 🌪️累计注入总数统计 🌪️文件库1178档位包 🌪️档位文件内置导入 🌪️备份创建与恢复 🌪️注入记录历史回看 🌪️日志分级着色显示 🌪️运行稳定性100% 🌪️适配全档位模式 🌪️适配Shizuku运行环境 🌪️适配安卓9~17系统 🌪️圆环大小10%~100%调节 🌪️圆环颜色六色可换 🌪️圆环样式实心/呼吸/脉冲 🌪️浮窗透明度无极调节 🌪️列表字号配色自定义 🌪️振动强度轻中重三档 🌪️游戏内闪示5秒可配 外观/触觉:红蓝钢白流光冰蓝绿| 轻中重三档 适配:沐屿迷你小游戏/鲸鱼…
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Signed 沐屿
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此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍2🥰2🔥1😍1
Signed 全网收质量频道 @adggku
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Showing the 12 most recent of 741 posts we hold for @LDGWJ. 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.
We recorded 9 posts on @LDGWJ as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
明天更新什么?
The shares total 124%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 741 most recent posts we hold, published 5 August 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 9 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.
@LDGWJ named 4 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.
References a handle that is not a live channel — we have no record it ever was one.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“冷淡魔术快斗官方” (@LDGWJ), 11,994 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/LDGWJ.
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.