重要提醒:广告不是我们塞的锅 由于飞机号没开会员,帖子下面可能会冒出类似 【1元社工库】 的广告。 先说清楚:这个广告不是我们发的,也跟我们半毛钱关系没有。 那玩意儿是骗子广告,专门盗u的,别信,别点,别给它眼神。 不懂的朋友看到就当它在空气里表演,划走就行。 开通 Telegram 会员后,就看不到这些“野生小广告”了。

Channel
骑士案例展示频道 @ngccc
@lucky14
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
49,233subscribers
+30,870 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003734559415 |
|---|---|
| Type | Channel |
| Usernames | @liaotianjilu111 @lucky14 |
| Description | 骑士【查档】马上知道❤️❤️ ❤️🔥 社工库 @fa6bot 大头24H秒出机器人 @huji7bot ❤️🔥查档客服 @ngccc ❤️🔥 主频道 @uuub3 ❤️🔥双向点我 @mysbot ✅✅✅批量来谈价 骑士源头批发资料查询业务 已经营6️⃣年,稳定输出,老客户必回头 |
| Created | Between 1 February 2026 and 6 April 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/lucky14 |
Topic
Hacking & security — 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 98% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 03:58 | 49,233 | +31,901 |
| 18 Sept 2026, 17:16 | 17,332 | -8 |
| 18 Sept 2026, 05:18 | 17,340 | -43 |
| 16 Sept 2026, 06:22 | 17,383 | -4 |
| 16 Sept 2026, 00:19 | 17,387 | -48 |
| 14 Sept 2026, 14:40 | 17,435 | -2 |
| 14 Sept 2026, 09:20 | 17,437 | -28 |
| 13 Sept 2026, 01:02 | 17,465 | no change |
| 12 Sept 2026, 19:00 | 17,465 | -38 |
| 11 Sept 2026, 03:59 | 17,503 | -10 |
| 10 Sept 2026, 21:58 | 17,513 | -57 |
| 8 Sept 2026, 03:35 | 17,570 | +3 |
| 7 Sept 2026, 22:39 | 17,567 | -76 |
| 5 Sept 2026, 02:56 | 17,643 | no change |
| 4 Sept 2026, 23:41 | 17,643 | -18 |
| 3 Sept 2026, 09:17 | 17,661 | -1 |
| 3 Sept 2026, 05:58 | 17,662 | -15 |
| 2 Sept 2026, 01:14 | 17,677 | no change |
| 1 Sept 2026, 23:19 | 17,677 | -18 |
| 1 Sept 2026, 01:17 | 17,695 | first reading |
Engagement
15 posts held, back to 6 April 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 63 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.22%
- avg views ÷ 49,233 subscribers
- Avg views / post
- 599
- 2 posts measured
- Reaction rate
- 0.217%
- reactions ÷ views · ER floor
- Posts in window
- 2
- of 15 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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 15 (6 April 2026 – 23 September 2026) |
| Views total | 1,198 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 04:42 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
- Photos
- 125
- Videos
- 1
- Links
- 36
Lifetime counters from Telegram’s own channel header, read 29 September 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.
- Video runtime
- 43s
- Average length
- 43s
Measured directly from 1 video 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
28 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 96.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 96.4% | |
| 👍 | 1 | 3.57% |
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 8 of the 15 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 6 April 2026 to 23 September 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
核验机器人正式上线 核验:卡主,机主,车主.人脸 查询:车档,名下车,名下企业,话费,婚姻状态,限高,诉讼,失信 bot入口 https://t.me/qishiheyanbot
❤1👍1
特惠200U开房记录,限量10名幸运儿 特惠200U开房记录,限量10名幸运儿 特惠200U开房记录,限量10名幸运儿 名额有限,先到先得,查出隔壁老王请自行消化!
骑士案例展示频道 @ngccc pinned «🕠骑士查档案例图🕠 【微信/QQ好友提取】 【微信反查】 【银行卡反查】 【企业法人反查】 【护照/通行证反查】 【支付宝收款码反查】 【名下全部微信账号】 【名下全部支付宝账号】 【抖音/小红书/快手/qq 反查/手机号】 【模糊找人】 【照片找人】 【模糊搜索】 📱📱【地址】 外卖地址快递地址 水电地址 📌【行踪-轨迹】 【出入境记录】 【手机轨迹】 【手机定位】 【人物轨迹】 【开房记录】 【飞火记录】 【车辆轨迹】 【背景大调查】 【学籍记录】…»
免费送大头 任意下单即送大头,仅限前 50 名,先到先得,欢迎来咨询领取。 🔥🔥客服 @ngccc
🕠骑士查档案例图🕠 【微信/QQ好友提取】 【微信反查】 【银行卡反查】 【企业法人反查】 【护照/通行证反查】 【支付宝收款码反查】 【名下全部微信账号】 【名下全部支付宝账号】 【抖音/小红书/快手/qq 反查/手机号】 【模糊找人】 【照片找人】 【模糊搜索】 📱📱【地址】 外卖地址快递地址 水电地址 📌【行踪-轨迹】 【出入境记录】 【手机轨迹】 【手机定位】 【人物轨迹】 【开房记录】 【飞火记录】 【车辆轨迹】 【背景大调查】 【学籍记录】 【疫苗记录】 【婚姻记录】 【学信网】 【出生证明】 【社保记录】 【医保记录】 【全家户籍】 【医疗记录】 【人物小关联】 【人物大关联】 【金融贷款记录】 【出入境证件】 名下财产大调查 【公司财产】 【名下房子】 【名下银行卡】 【名下所有车子】 【企业工商内档】 【私户/公户/微信/支付宝流水】 具体价格咨询客服 📱【犯罪违法】 【犯罪在逃】【…
❤17
项目:人物轨迹(出入境记录+飞机火车记录+开房记录+学历+银行卡) 提供资料:姓名,身份证号 出单时:1-2天 🔥批量来谈价 骑士源头批发资料查询业务 已经营🔥年,稳定输出,老客户必回头 🔥 免费社工库机器人 🔥 🔥 唯一客服 @ngccc 🔥 主频道 @uuub3 🔥 防失联 @gggnv 🔥案例频道 @lucky14
❤1
项目:工商内档 提供资料:公司名字 出单时间:当天
❤3
项目:飞火记录 提供资料:姓名,身份证号 出单时间:当天 可查五年内的飞火 🔥批量来谈价 骑士源头批发资料查询业务 已经营🔥年,稳定输出,老客户必回头 🔥 免费社工库机器人 🔥 🔥 唯一客服 @ngccc 🔥 主频道 @uuub3 🔥 防失联 @gggnv 🔥案例频道 @lucky14
❤1
全网最屌 人脸 识别 人脸猎魔 提供照片出名字 身份证 抓人 找人 网恋必备业务 提供一张正脸照一找一个准 主打0扯皮 全网最强 0扯皮! 每天分多批回单 当天稳稳回单 主打就是效率+稳定+质量高 散批都能吃 价格实惠 批量可谈 敏感一样出 规则:有名字按名字出,名或姓对一个默认出,给地区地区对默认出,完全不对给照片,没名字没地区默认出 每天不定时秒秒 任何需求,欢迎咨询客服 🔥批量来谈价 骑士源头批发资料查询业务 已经营🔥年,稳定输出,老客户必回头 🔥 免费社工库机器人 🔥 🔥 唯一客服 @ngccc 🔥 主频道 @uuub3 🔥 防失联 @gggnv 🔥案例频道 @lucky14
❤2
项目:拘留信息 提供资料:姓名,身份证号 出单时间:当天 拘留证 羁押证 查关在哪个看守所 🔥批量来谈价 骑士源头批发资料查询业务 已经营🔥年,稳定输出,老客户必回头 🔥 免费社工库机器人 🔥 🔥 唯一客服 @ngccc 🔥 主频道 @uuub3 🔥 防失联 @gggnv 🔥案例频道 @lucky14
❤1
反馈结果:限制出入境原因 项目:出入境限制 提供资料:姓名,身份证号 出单时间:当天 出入境状态查询,怕自己在过境时被截胡的,可以提前来确认 🔥批量来谈价 骑士源头批发资料查询业务 已经营🔥年,稳定输出,老客户必回头 🔥 免费社工库机器人 🔥 🔥 唯一客服 @ngccc 🔥 主频道 @uuub3 🔥 防失联 @gggnv 🔥案例频道 @lucky14
❤1
Showing the 12 most recent of 15 posts we hold for @lucky14. 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.
Mentions
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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“骑士案例展示频道 @ngccc” (@lucky14), 49,233 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/lucky14.
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.