🏠全家户口信息 (新旧版本随机) 提供:身份证号🆔 结果如下: 👨👩👦👦全家户籍成员大头像、全家身份证号、姓名、户籍地 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #家庭成员 #全家户籍 #全家户口 #全户 #户口本 #家庭成员 #查父母 #父母信息 #子女信息 #家庭信息
👍61😁57🎉54🔥54❤52
Signed 知乎档案局

Channel
@zhmxn
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
42,109subscribers
+7,813 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001324606816 |
|---|---|
| Type | Channel |
| Username | @zhmxn |
| Description | 【源头批发一手价格】 查档找人/司法/婚姻/资产/出行轨迹/卫星定位/开房/聊天记录/监控调取/口供案底,承接所有查询调档类业务 🚹 知乎在线 @ZHGiF 🛄 留言信箱 @ZHGiF_bot (防双向专席) 👁🗨 讨论群组 @ZHCiD |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/zhmxn |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 09:16 | 42,109 | -60 |
| 16 Sept 2026, 04:40 | 42,169 | -106 |
| 14 Sept 2026, 11:59 | 42,275 | -58 |
| 13 Sept 2026, 01:37 | 42,333 | -166 |
| 11 Sept 2026, 05:59 | 42,499 | -203 |
| 8 Sept 2026, 11:19 | 42,702 | -237 |
| 5 Sept 2026, 04:41 | 42,939 | -59 |
| 3 Sept 2026, 13:16 | 42,998 | -21 |
| 2 Sept 2026, 05:35 | 43,019 | -126 |
| 1 Sept 2026, 04:16 | 43,145 | +9,926 |
| 31 Aug 2026, 05:37 | 33,219 | -47 |
| 30 Aug 2026, 08:35 | 33,266 | -125 |
| 29 Aug 2026, 06:53 | 33,391 | -58 |
| 28 Aug 2026, 03:36 | 33,449 | -23 |
| 27 Aug 2026, 02:35 | 33,472 | -14 |
| 26 Aug 2026, 04:34 | 33,486 | -85 |
| 25 Aug 2026, 05:02 | 33,571 | -75 |
| 24 Aug 2026, 02:53 | 33,646 | -49 |
| 22 Aug 2026, 09:57 | 33,695 | -25 |
| 21 Aug 2026, 00:34 | 33,720 | first reading |
23 posts held, back to 29 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 65 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. It is computed over the 11 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 September 2026 |
|---|---|
| Posts held | 23 (29 July 2026 – 20 September 2026) |
| Views total | 16,831 |
| Reactions total | 2,673 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Sept 2026, 14:14 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 20 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.
4,696 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 20.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 962 | 20.5% | |
| 😁 | 950 | 20.2% | |
| ❤ | 946 | 20.1% | |
| 👍 | 921 | 19.6% | |
| 🔥 | 917 | 19.5% |
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 21 of the 23 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 4,696 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 29 July 2026 to 20 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.
🏠全家户口信息 (新旧版本随机) 提供:身份证号🆔 结果如下: 👨👩👦👦全家户籍成员大头像、全家身份证号、姓名、户籍地 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #家庭成员 #全家户籍 #全家户口 #全户 #户口本 #家庭成员 #查父母 #父母信息 #子女信息 #家庭信息
👍61😁57🎉54🔥54❤52
Signed 知乎档案局
💵网逃案底 提供:身份证号 结果如下: 立案单位、案件状态 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #犯罪记录 #案底记录 #嫌疑人 #在逃记录 #在逃人员 #在押人员 #监所记录 #网逃 #上网 #挂网 #在逃人员
Signed 知乎档案局
收款二维码反查码主(📱微信、👍 支付宝皆可) 提供: 🥳收款码 反馈结果: 收款方实名信息 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #收款码 #码反 #微信收款码 #支付宝反查 #支付宝码反 #二维码反查 #收银码
👍58🎉57😁56❤48🔥44
Signed 知乎档案局
📨抖音ID反查实名信息🥺散单价高,直播机构挖人挖网红的来聊批量价💁♀️ 提供:抖音ID 或 主页链接📨 反馈结果: 🤑实名信息、绑定手机、账号信息、登录IP —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #抖音 #抖音开盒 #抖音实名 #网红开盒 #抖音找人 #抖反 #TIKTOK
❤56🎉56👍53🔥50😁43
Signed 知乎档案局
👥谈恋爱处对象的必查项目,今天特价,错过拍大腿 提供:SFZ号🆔 反馈结果:配偶姓名与身份证号 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #查配偶 #查老公 #查老婆 #结婚证 #婚姻 #婚姻记录 #婚史 #查出轨 #抓小三
🔥54👍53❤51😁51🎉49
Signed 知乎档案局
常用收件收货地址 提供: 手机号码📱 反馈结果: 手机号,日期,收件地址🌐 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #快递地址 #收货地址 #网购地址 #收货人 #收件人 #住址 #综合地址 #居住地址 #常用地址
👍70🎉57😁49❤48🔥45
Signed 知乎档案局
🗒分娩记录🏠妇科妇幼就诊记录 打胎记录 提供:姓名+身份证号 结果如下: 【时间,就医机构,诊断名称、费用】 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #就诊记录 #就医记录 #看医记录 #医疗记录 #医院记录 #看病记录
🎉59😁59❤56🔥49👍36
Signed 知乎档案局
🧑🏻✈️出入境查询 提供:身份证号 或 护照号 结果如下: 交通方式,出入境时间、前往国家地区等 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #出入境记录 #出入境 #出境记录 #入境记录 #海关记录
❤48👍46😁44🔥42🎉38
Signed 知乎档案局
💵网逃案底 提供:身份证号 结果如下: 简要案情、立案单位、状态 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #犯罪记录 #案底记录 #嫌疑人 #在逃记录 #在逃人员 #在押人员 #监所记录 #网逃 #上网 #挂网 #在逃人员
👍47😁43❤42🔥42🎉40
Signed 知乎档案局
📁 企业工商档案 提供:公司名称 + 信用代码 反馈结果: 法人&股东信息、职工信息、企业名下车房 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #工商档案 #企业档案 #公司档案 #工商内档 #企业内档 #公司内档
❤47🔥46🎉45😁45👍37
Signed 知乎档案局
💵 报案人信息 & 立案信息 提供:身份证号 结果如下: 报案人信息、简要案情、立案单位、案件状态 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #犯罪记录 #案底记录 #嫌疑人 #在逃记录 #在逃人员 #在押人员 #监所记录 #行政违法 #立案 #报警 #报案人
❤49🔥47👍43😁40🎉38
Signed 知乎档案局
👮♀ 服刑记录 一体 🛡 提供:身份证号 结果如下: 案情、状态、案类、涉案情况、服刑信息🗒 —-—-—-—-—-—-—-—-—-—— ✈️ 知乎在线 @ABCDZ 🔔 防双向入口 @ZHGiF_bot 💵讨论群组 🗂案例目录 —-—-—-—-—-—-—-—-—-—— #服刑记录 #监狱记录 #入狱记录 #监所记录 #服刑人 #案底 #判决
😁47❤46🔥44🎉41👍41
Signed 知乎档案局
Showing the 12 most recent of 23 posts we hold for @zhmxn. 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.
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.
@zhmxn named 1 handle 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“知乎档案局【主频道】” (@zhmxn), 42,109 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zhmxn.
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.