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Channel

特工验证榜

@godagent007

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

22,506subscribers

+6,017 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001657475008
TypeChannel
Username@godagent007
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/godagent007

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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.

Observations

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.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 7 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@moduguangmingding2/2939020 Oct 2026, 06:01 UTC@godagent007/609 · this entry20 Oct 2026, 06:01 UTC1.00under a minute
@moduguangmingding2/2952822 Oct 2026, 06:10 UTC@godagent007/611 · this entry22 Oct 2026, 06:10 UTC1.00under a minute
@moduguangmingding2/2984628 Oct 2026, 10:48 UTC@godagent007/626 · this entry28 Oct 2026, 10:48 UTC1.00under a minute
@moduguangmingding2/302864 Nov 2026, 05:47 UTC@godagent007/636 · this entry4 Nov 2026, 05:47 UTC1.00under a minute
@godagent007/464 · this entry14 Jul 2026, 09:43 UTC@moduhuangmingdingfuli/366331 Jul 2026, 09:19 UTC1.0017 days
@moduhuangmingdingfuli/36683 Aug 2026, 07:28 UTC@godagent007/481 · this entry3 Aug 2026, 07:30 UTC1.002 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@moduguangmingding28 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (7–1)
@moduhuangmingdingfuli7 (7/7 hand-verifiable sample passed)1.002 minutesthis entry (4–3)
@shmdgmd47 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (39–8)

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. 1 of the 1 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 77 comparable posts for this entry, running 7 July 2026 to 12 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 7 channels, the one whose matching posts we hold earliest is @shmdgmd. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 13 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.

Channels linked by matching posts

This channel is in a group of 7 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.

Growth

16,48922,50619,497.56 August 202613 November 2026
65 measurements spanning 99 days, net +6,017. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,586–23,409 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 13:5622,506+66
10 Nov 2026, 22:0122,440+51
9 Nov 2026, 09:1822,389+27
8 Nov 2026, 01:5122,362+8
6 Nov 2026, 23:0922,354+34
5 Nov 2026, 22:0622,320-49
4 Nov 2026, 22:5422,369+4
4 Nov 2026, 00:1922,365+257
2 Nov 2026, 21:2622,108+34
2 Nov 2026, 00:0822,074+164
31 Oct 2026, 21:5821,910+776
30 Oct 2026, 20:0721,134+84
29 Oct 2026, 18:4521,050+128
28 Oct 2026, 15:4620,922+94
27 Oct 2026, 12:1120,828+84
26 Oct 2026, 12:0120,744+106
25 Oct 2026, 14:1020,638+125
24 Oct 2026, 12:1520,513+67
23 Oct 2026, 15:1720,446-4
22 Oct 2026, 11:4520,450first reading

Engagement

77 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.7%
avg views ÷ 22,506 subscribers
Avg views / post
3,980
31 posts measured
Reaction rate
0.11%
reactions ÷ views · ER floor
Posts in window
31
of 77 held

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 27 of 31 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held77 (7 July 2026 – 12 November 2026)
Views total123,283
Reactions total122
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 03:19 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.

What this channel posts

Video runtime
4m 06s
Average length
9s

Measured directly from 27 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.

Reaction mix

447 reactions across 72 posts, in 5 distinct kinds. The most used accounts for 98.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤44298.9%
👍20.447%
👏10.224%
🤔10.224%
🫡10.224%

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 73 of the 77 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 447 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 77 most recent posts we hold, published 7 July 2026 to 12 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.

Recent posts

Telegram’s own ‘edited’ marker: 9 of 31 posts held from the last 30 days (29.0%) 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).

12 Nov 2026, 07:51 UTC963 views2 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字:图图 老师电报号: @tutuhappy1 硬件: 颜值 4.05 (07年川妹子,妈生脸,大眼睛,偏幼态,有梨涡;人照9分,一脸嫩相略鹅蛋脸型,比较可爱;清秀的小美女,秀气正点,性格也很温柔,真正的小鸟依人,就依偎到你怀里了;) 妆品 4.10 (妆品还不错,粉底适中,很贴肤,妆容淡雅不卡粉;睫毛进一步放大大眼,脸蛋白里透红;) 身高体重 160cm 39kg(细枝硕果,娇小身材) 皮肤 4.00 (小臂和小腿有纹身,整体皮肤不错,最近漂流,四肢有点略微晒黑;胸腹白皮,手感很滑。) 胸 4.90 (天然C胸,乳头乳晕很小切粉,小骨架细致结硕果,胸型近乎完美;挺拔,手感软糯,极品胸,青筋暴露,细枝硕果身材,爱不释手;) 腰 4.10 (身材偏显 H 型,曲线正常,小腹平坦,搂腰…

❤2

11 Nov 2026, 10:22 UTC≈2,670 views1 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 梦莹 老师电报号:@Mengying258 硬件: 颜值 3.63(能看出岁月痕迹 浅妆 不难看 ;人照不像,但本人更清秀耐看,妆不浓) 妆品 3.75(基础妆容 掩盖了一些岁月感;妆很淡,有自信展现比较真实的年龄和相貌) 皮肤 4.00(黄白皮无疤痕和纹身;全身皮肤很白,很光滑,洁净无纹身) 胸 4.25(小C胸 给到4的感觉是腺体手感还不错 并且用力捏不喊疼,胸型不错,偏腺体,有手感,乳头乳晕不大,颜色正常) 腰 3.63(正常腰挺细的,有一点点小肚子,光滑细腻) 臀 4.25(宽度还行,厚度不太够 ;屁股大,臀肉多,弹性好,翘) 腿 3.75(身高比例都中等,直,小腿细,大腿有一些腿围,有肉) 足 3.75(香香软软且尺码不算大 这个我蛮惊喜的) 逼 3.88(人工剃毛,颜色较…

❤1

11 Nov 2026, 07:07 UTC≈1,530 views3 reactionsread 13 November 2026
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全部评分项目17 个,满分5分制度,最终去掉一个最高分和最低分,按照平均分予以评级,只针对店铺客观评级: 店铺名字:极致欢愉剧情spa 店铺电报号: @nacney 双向机器人:@xnlspabot QQ号:3870493261 安全指数: 4.67 (独立的复式房子,很隐蔽,店搞定了,晶哥过来也就走个过场) 洗浴环境: 3.83 (单独浴室,不大,卫生用品齐全) 设施环境: 4.17 (复式房子,私密性可以,浴袍一次性用具都有,房间还不错,虽然不大,但是施展的开) 妹子尺度: 3.33(加项目可以全身摸,项目价格下面有提到,基本服务尺度不大) 服务态度: 4.33 (店主很客气,聊天也不错,端茶倒水) 饮料提供: 4.00 (有水) 项目时间: 4.00 (50分钟,时间还是保足) 店铺选牌方式:预约 出货方式:手推 是否充值:(无充值) JS评分(推荐苏苏) 硬件: 技术颜值 :4.67 (计划的苏苏,去…

❤3

10 Nov 2026, 07:33 UTC≈3,860 views5 reactionsread 13 November 2026
Video

米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 方落 老师电报号: @xiaobeixxx 硬件: 颜值 4.25(人照一致,妩媚,鼻挺,眼睛真睫毛长而迷人,五官小巧精致,脸也小,更甜一点;比照片更好看,五官精致立体,大眼睛会笑,脸很小,有一点高级感,又透漏着一点甜妹的感觉,初见一眼惊艳,眼睛特别好看。仔细端详后,综合能给到班花级) 妆品 4.40(妆容细致,遮瑕做的挺好,适度提亮不突兀,分寸刚好;精致不卡粉,整体妆品很用心,眼妆部分很出彩,鼻子处得细节没有处理好,鼻头高光给得过多,且过度不够自然,卡粉也比较厉害。若妆品上再做提升,整体颜值能更上一层) 皮肤 4.20(皮肤白皙,紧致有弹性、光滑度一般;黄皮偏白一点点,腿、背有大面积纹身,但不影响观感,背部有痘痘可惜;手感细腻,黄偏白,一条花腿,后背肩部也有一块纹身,但不会感觉low…

❤5

9 Nov 2026, 09:20 UTC≈1,930 views3 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 小泡芙 老师电报号: @x_paofu520 硬件: 颜值 3.93(脸稍大,带点异域风情,人照基本一致,真人比照片正常许多,少数民族混血,大眼睛,高鼻梁;大眼萌妹,甜甜软软的,说话轻声细语;云南软妹子,侧脸好看,甜美风) 妆品 4.11(妆容精致,眼睛眉毛修饰的很好,没有卡粉,睫毛自然;高级些的卧蚕妆,真人看起来不会像照片一样会显老;上课前还出去做头发,妆容完整,无明显瑕疵,挺用心加一欓) 皮肤 3.71(黄皮,手感尚可,偶有小粉刺,有肋骨鼻疤,很好的用一条小纹身遮住了,小腹有吸脂疤痕;皮肤黄偏白,比较嫩,非常柔软,但是毛孔稍粗大,右胸下有小纹身,手感软滑,但细致度还能在提升) 胸 4.18(天然脂肪真胸C,乳头敏感,一舔就硬,颜色略深;手感非常柔软,乳晕乳头偏大) 腰 3.92(人…

❤3

7 Nov 2026, 07:33 UTC≈2,460 views6 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 盈盈 老师电报号: @abc8o8o 硬件: 颜值 3.90(混血御妇风,长形柳条脸,五官立体,人照几乎一致,异族美人,大眼睛,眼窝深,鼻子很挺,一直笑盈盈,脸部皮肤状态不错,本人比照片好看太多;比照片看起来稍微年纪大一点,有少数民族的异域风情) 妆品 3.85(妆容精致,粉底比较厚,睫毛自然;浓淡妆结合,无明显卡粉,整体看着很舒适) 皮肤 4.05(皮肤很白,光滑度较好,无纹身,整体嫩软糯蓬松感,无纹身,无明显疤痕,手感好) 胸 2.90(科技胸,有底座, 表层大 D 脂肪胸手感,手感还不错,乳头小,乳晕稍大一丢,色正常) 腰 3.80(腰身不粗,略有曲线,有曲线,小腹平坦,腰身有点赘肉,不影响整体美感) 臀 4.10(大臀,不是很翘,肉感柔软有弹性,肉挺足,后入臀浪滚滚,适合喜欢后…

❤6

6 Nov 2026, 07:42 UTC≈2,780 views1 reactionsread 13 November 2026
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🎉 米其林闵行喵耶抽奖活动 📝 抽奖说明:参加抽奖前,请先考虑交通情况,以免浪费奖额。 https://t.me/moduguangmingding2/30165 https://t.me/godagent007/557 关注ls的频道之后再点击下列按钮可参加抽奖。 中奖后凭抽奖机器人消息、或者频道中公布的名单,直接联系ls兑奖; 如未另行约定,惯例7天有效,遇红休顺延 评价请发给机器人 @gmdast_bot 更多福利请查看光明顶狼友讨论频道:https://t.me/+THHpZTCKkbMzYWE1 ✅ 参与条件: 1. 加入 喵椰🥥 2. 加入 魔都光明顶教学课程展览室2 3. 加入 特工验证榜 4. 加入 免费抽奖导航 🎁 奖品内容: • 优惠两百 × 1 • 优惠三百 × 2 ⏰ 开奖时间:2026-11-13 13:00 👇 点击下方按钮参与抽奖

❤1

6 Nov 2026, 04:20 UTC≈4,390 views8 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 江夏 老师电报号:@jiangxia188 硬件: 颜值 4.19(大眼御姐,人照9.5分像,系花级别,天然无整,笑起来好看,由于我到了她才起床,素颜,五官没毛病,组合起来没有达到应有的高度。路人之上,御姐脸,像小学生的包臀裙大奶小妈,建议弟弟们来) 妆品 4.38(素颜,跟颜值保持一致;妝容完整,重視細節,精緻感有助於整體顏值提升;相对比较细腻,目测粉底液打了两层,定妆也两层,近距离扒着看脸看不出皱纹并且很细腻;御姐妆容,妆品贴合,整体自然) 皮肤 3.81(颜色黄黑;黃皮偏白一色號,屁股與後腿有較多痘印;肚子以上看都不错,肚子以下有抽脂的痕迹,所以我要扣分!腿上有很多撞痕,手感滑嫩,肌肤紧致) 胸 4.50(真熊D,大而柔軟,乳暈乳頭大小正常;顶级腺体胸,非常腺体,手感反馈好,不软…

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5 Nov 2026, 07:15 UTC≈5,840 views8 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 兔闪闪 老师电报号:@bulinbulin66 硬件: 颜值 4.09(人照9分,参考视频,清秀型,耐看,06年川妹子,可爱型,原生脸;非常可爱的邻家妹妹既视感,脸型五官均在线,且耐看,越看越好看;照片属于嫩妹,底子不错,水图不服略有点痘,暂时脸上皮肤状态一般。) 妆品 4.18(眼妆保留完好;妆品较浓,粉底不薄,遮瑕还可以;妆容淡雅,略有水土不服,小卡粉,可能排课太紧,有时候会来不及补妆) 皮肤 4.38(皮肤全身较白,稍带些黄,整体细腻光滑,全身无纹身,背面局部有些许痘印,全身无疤痕;有脐钉) 胸 4.72(天然C+左右,乳头乳晕小,色偏粉的好看,胸型非常好,挺翘,腺体型,胸位较高,胸型绝佳,超级圆,超级挺,手感软弹,无论视觉还是触觉都是极品的胸) 腰 3.94(小细腰,基本没什么…

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4 Nov 2026, 06:06 UTC≈2,700 viewsread 13 November 2026

🎟️ 抽奖标题:光明顶每周发言抽奖! 说明: 本群和光明顶狼友群合作发布福利 奖励:本群妹子白嫖名额一个 魔都光明顶现金光明币 100元 5个 魔都光明顶现金光明币100元 15个 参加办法: 关注老师榜单,并完成 https://t.me/+viDGsnMIj-5mMDZl 发言 150 关注 https://t.me/+THHpZTCKkbMzYWE1 并发言 150 两个群打“抽奖” 参与!! 抽奖编号:TL179377094837 🎁 奖品内容: - 光明币(rmb)100*15 🪧 抽奖说明:参与需扣除50积分 🚀加成规则: - 可多次参与,每次扣50积分增加一个抽奖号,最多增加200个抽奖号 🎫 参与条件: - 从2026-11-01 00:00:00起发言数量不少于150 - 加入频道:馨馨🦋【精品阁】旗舰店 - 加入频道:特工验证榜 - 加入频道:魔都光明顶教学课程展览室2 - 加入频…

4 Nov 2026, 05:47 UTC≈2,630 viewsread 13 November 2026

抽奖米其林 闵行 豆豆 抽奖活动(编号L1793184255172B08F2B83)已成功开奖: 创建人:柏林[7198140553] 已参与人数:1533 中奖名单如下: 未完待续(@yzcat)[5868387124](奖品:300的优惠券) 浮屠(@ljg2357)[6837717009](奖品:300的优惠券) 上汤豆苗(@ipfen)[6347960176](奖品:58现金红包) LineWaitK(@wait_k_line)[7001876548](奖品:58现金红包)

3 Nov 2026, 12:43 UTC≈2,730 views1 reactionsread 13 November 2026
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米其林2.0,硬件权重60%,软件权重40%,按照加权平均分予以评级,只针对妹子素质客观评价 (课室分仅供参考不计入个总分评级) 老师名字: 小芸 老师电报号: @LLxx321 硬件: 颜值 3.94(皮相、骨相显现脸表造就侧颜杀,纯真干净清甜,初绽花朵;小脸嫩妹,面部线条柔和,因为川渝人的关系皮肤比较好,所以这个还可以;巴掌脸,很清秀,良家味道) 妆品 3.90(粉底较厚,遮瑕不错,眉柳清晰,无明显严重卡粉;常规妆容 没什么非常特别的 相对比较服帖,但是和皮肤有分割线) 皮肤 4.00(小麦古铜肤色,手感滑嫩,右手有小纹身,无明显疤痕;皮肤细腻黄皮,手感非常好像摸丝绸一样; 小面积纹身不太影响整体的视觉体验;皮肤偏干,需要保养) 胸 4.10(少女胸天然b➕,手感软嫩,乳头适中、乳晕稍大,色与肤色一样;手感柔软,乳头挺翘;比较舒服的脂肪胸,脂肪是比较粗一点的脂肪,有一点像水气球,手感挺不错的,所以舒服) 腰 4.00(偏梨…

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Showing the 12 most recent of 77 posts we hold for @godagent007. 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.

Posts edited after publishing

@godagent007 edited 4 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.

First edit seen
10 August 2026
Most recent edit
13 August 2026

Posts recorded as deleted after publishing

We recorded 1 post on @godagent007 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.

First seen missing
16 August 2026
Most recent seen missing
16 August 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
0

Forward network

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.

Mentions

Named by 16 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.

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.

Cite this entry

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 November 2026 — this entry's latest reading, not the date you are reading this.

“特工验证榜” (@godagent007), 22,506 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/godagent007.

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.