科普:查人查档的思路梳理 在没有对方身份证号的情况下 先以拿到目标身份证号为主 拿到身份证 一切皆可查 对业务不熟悉的可以看看这张图

Channel
鼎盛模板频道
@fh6655y
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
248subscribers
+106 since we began measuring on 15 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004382226898 |
|---|---|
| Type | Channel |
| Username | @fh6655y |
| Created | Between 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 September 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/fh6655y |
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 30 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 30 Sept 2026, 21:17 | 248 | +94 |
| 16 Sept 2026, 11:41 | 154 | +12 |
| 15 Sept 2026, 09:22 | 142 | no change |
| 15 Sept 2026, 08:47 | 142 | first reading |
Engagement
18 posts held, back to 14 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.5%
- avg views ÷ 248 subscribers
- Avg views / post
- 33.6
- 18 posts measured
- Reaction rate
- 1.49%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 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 2 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 September 2026 |
|---|---|
| Posts held | 18 (14 September 2026 – 15 September 2026) |
| Views total | 604 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Sept 2026, 09:22 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 2 of the 18 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 14 September 2026 to 15 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
名下支付宝 😀😀😀 提供名字身份证号出此人名下绑定的支付宝手机号 (联通移动电信广电邮箱号)全部都能出 用处不用多说 专干未成年和老赖利器 有些老赖不用自己的手机号 但是支付宝用自己的 此业务即可出他的手机号 专干不用自己手机号生活的 全天秒 人在就秒 同行代理来问价
业务名称:医疗记录 😀😀😀 提供资料:姓名/身份证 出单结果:5年医疗详情 包真不包漏 出单时间:当天/隔天
医保社保文档 😀😀😀 不限量 国家医保局系统出单 提供:名字身份号 查工作单位必备业务 含年月 公司名称 缴费基数 晚上十点前当天回 保真不保遗漏
开房同住 😀😀😀😀😀 5年人物轨迹 😀😀😀😀 5年单开 😀😀😀😀 五年飞火 😀😀😀😀 5年飞火 推荐出人物轨迹里面自带飞机火车动车记录,附带单开房记录/个人档案/驾照/最高学历/名下车辆等等 开同,人轨,单开,飞火一周内出单 禁止报敏感单,报敏感收费不给单。 近五年没有记录往后移,出到超过五年正常收费,不能指定时间! 此版本开同信息不带次数和房间号次数!! ——————————————————— 没有模板,反正你们该要的信息都有。模板不是固定的。 ——————————————————— ☹️ 敏感收费不给单行列☹️ ❎公检法-军人以及其家属❎ ❎明星-记者-网红-媒体❎ ❎研究院-报刊-国企-上市公司❎ ❎老总-董事长-总裁等❎ ❎落马退休干部-教授-❎ ⚠️通俗讲就是有一定影响力的人⚠️ 云搜标记为,干部,党员,一律算敏感 ,别说退…
电信通话纪录 没有通话时间。但是通话顺序是正确的。 工作日 工作时 人在秒 1个月 😀😀😀😀 3个月 😀😀😀😀 6个月 😀😀😀😀
数据库历史文字全户 😀😀😀 出单率90% (非市面上社工库去查的,市面上的社工库数据对比我们这个绝对只少不多,非社工库全户可比的) 提供姓名身份证号报单 不带关系,有遗漏,当天晚上出 数据库文字全户的意思 就是这个渠道拥有的数据是目前全最最大的人口数据.这份数据目前更新到了2022年。也就是说,这个文全出来的是 22年以前的全户数据(有遗漏)数据保真不保漏 有多少出多少不扯皮,2022年后新增/迁户的数据是没有更新的。也能理解为我这里的文全跟原始户口差不多一个性质 有些单子由于迁户刑侦开不出来父母的 我这里大概率可以开出来父母甚至爷奶等长辈这些 ——————————————- 市面上有些造假的全户就是开这个,然后去开个单头P图,当成刑侦全户卖的,在我这,是什么东西就卖什么东西!绝不弄虚造假,以次充好! ———————- 另外可以接脱裤猎魔 补齐 数据库没有的可以找我试下 😀😀😀 可排除
统统 😀😀😀 四选一 手机号出抖音号 手机号出小红书号 手机号出快手号 手机号出网易云号 两天内回单
微信流水 不带ID 一月 😀😀😀😀 三月 😀😀😀😀 支付宝流水 带ID 一月 😀😀😀😀 三月 😀😀😀😀 工作日1-3天回
机主😀😀 法人😀😀 卡反😀😀 条子卡反😀😀😀 支百😀😀😀 支付宝实名😀😀 股东😀😀 支付宝收款码出手机号😀😀
人民银行出品-真征信报告 😀😀😀😀 提供姓名身份证号和手机号报单,一两天出 非便宜大数据版本 ,市面上最全征信,没有之一!! 报单提供 名字-身份证-手机号 -源头收单,代理可拿优势。批量可以来谈价格。 包含房贷、车贷、信用卡、网贷记录,被执行金额 1.房贷、车贷可查看贷款总额度 已还金额 每月还款金额,均能查出来 信用卡办理日期 近六个月使用记录 2.公共信息查看被强制执行的涉案金额 车贷办理日期 未还金额 已还金额 4.网贷只要是上征信报告的全能看到 含借款金额 已还金额 逾期上征信 代偿等记录应有尽有 人民银行征信报告有哪些欠款记录就体现哪些记录 用途:婚前调查,相亲对象,男女朋友,奔着结婚目的。还有一些合作伙伴, 一定要查一下,现在很多人都有网贷,不要被那些假大款骗了。 报单前一定记得和客户说清楚敏感收费不给单 别到时候报敏感了,被扣钱红温
邮政快递地址 单条 😀😀 ,多条 😀😀 最新一条邮政快递记录 便宜实用 100%原图回单 假一赔十 信用卡 法院 都会走邮政寄件 懂的来 提供:手机号码报单 一天两批. 19点之前报的单都当天回完
Showing the 12 most recent of 18 posts we hold for @fh6655y. 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.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“鼎盛模板频道” (@fh6655y), 248 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/fh6655y.
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.