人行征信开 工🔥 报单提供 名字-身份证-手机号 工作日1-3天回货 包含房贷、车贷、信用卡、网贷记录 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 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC

Channel
Չ锦鲤人生感悟笔记ᐝ࿐
@sgkmainkf1
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,224subscribers
-2,248 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001634307468 |
|---|---|
| Type | Channel |
| Usernames | @chadang66666666666 @haowangdc @huifengchadang @kaifang88888888888 @laobanzhang666666 @pingdan168168 @sgkmainkf1 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 116 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/sgkmainkf1 |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Oct 2026, 10:36 | 3,224 | -7 |
| 29 Oct 2026, 06:08 | 3,231 | -2,070 |
| 28 Oct 2026, 16:50 | 5,301 | no change |
| 28 Oct 2026, 15:38 | 5,301 | +2,025 |
| 28 Oct 2026, 08:27 | 3,276 | -3 |
| 28 Oct 2026, 06:31 | 3,279 | -83 |
| 26 Oct 2026, 16:57 | 3,362 | -1,952 |
| 25 Oct 2026, 21:44 | 5,314 | +1,876 |
| 25 Oct 2026, 18:45 | 3,438 | -11 |
| 25 Oct 2026, 15:38 | 3,449 | -1,865 |
| 25 Oct 2026, 08:16 | 5,314 | +1,846 |
| 25 Oct 2026, 06:07 | 3,468 | -89 |
| 23 Oct 2026, 21:36 | 3,557 | -1,767 |
| 22 Oct 2026, 20:06 | 5,324 | +1,690 |
| 22 Oct 2026, 15:47 | 3,634 | -6 |
| 22 Oct 2026, 13:38 | 3,640 | -1,690 |
| 22 Oct 2026, 10:27 | 5,330 | +1,666 |
| 22 Oct 2026, 03:07 | 3,664 | -111 |
| 20 Oct 2026, 14:16 | 3,775 | -1,571 |
| 19 Oct 2026, 16:17 | 5,346 | first reading |
Engagement
37 posts held, back to 23 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 12 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 37 posts for this entry, the most recent from 31 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
6 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 50.0% | |
| 👍 | 2 | 33.3% | |
| 👏 | 1 | 16.7% |
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 6 of the 37 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 23 July 2026 to 31 August 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
带定位链接手机轨迹(价格不贵) 直接带定位链接(直接点就出位置) 地址更精准(街道/村) 出单率更高 回单格式:文档 只出三个月内的 20-30条 够五条出单 凌晨发车上车 隔天回 已和快递外卖对比过多单 手机轨迹 识别基于WIFI IP GPS APP软件 基站等 多重识别方式 结果直接导出未经过人为编辑,所以个别位置会有误导识别现象,产生经纬跳跃 结果以总体较多出现的位置为准。 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
❤1
抖音号——反查绑定手机身份证🪪稳定出货中。未出不收费🫶
三网运营商定位 稳定出货中。 30分钟以内回单 锁定目标当前位置 认准靠谱商家·避免低价假单 出必准 出单率高 (包售后) (开机出当前位置)(关机出关机前位置)靠谱 精准 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
民政婚姻带结离 正常当天隔天回最稳的板子。 目前最真最稳无遗漏民政局版本婚姻,空单的是民政局没有登记, 没有离婚记录但离婚的是没有过民政局系统,法院判离。 工作日当天15.00前报单的当天回,之后隔天回 ————————————————————————————— 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
带定位链接手机轨迹(价格不贵) 直接带定位链接(直接点就出位置) 地址更精准(街道/村) 出单率更高 回单格式:文档 只出三个月内的 20-30条 够五条出单 凌晨发车上车 隔天回 已和快递外卖对比过多单 手机轨迹 识别基于WIFI IP GPS APP软件 基站等 多重识别方式 结果直接导出未经过人为编辑,所以个别位置会有误导识别现象,产生经纬跳跃 结果以总体较多出现的位置为准。 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
公网一体卡公司车辆 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
带定位链接手机轨迹(价格不贵) 直接带定位链接(直接点就出位置) 地址更精准(街道/村) 出单率更高 回单格式:文档 只出三个月内的 20-30条 够五条出单 凌晨发车上车 隔天回 已和快递外卖对比过多单 手机轨迹 识别基于WIFI IP GPS APP软件 基站等 多重识别方式 结果直接导出未经过人为编辑,所以个别位置会有误导识别现象,产生经纬跳跃 结果以总体较多出现的位置为准。 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
选择好旺.你的好助手 帮您解决一切问题 高效.信誉 一站式服务⚠️⚠️⚠️⚠️⚠️ 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
全国房产,稳定出货。🫡🫡🫡 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
长期招聘内部合作伙伴(各种内部工作人员) 公安 · 银行 · 运营商 · 民政局 · 房管局 · 快递客户等能接触到查询系统 🌎(最好拥有某些系统的全国查询权限) 云搜部门普通、高级权限 → 月保底30万起 反诈高级权限 → 月保底30万起 👮♂️ 网安部门权限 → 月保底30万起 🏫 法院执行部门 → 月保底20万起 🏦 银行柜台高级权限 → 月保底20万起 📦 各类快递全国权限 → 月保底10万起 👩❤️👨 民政部门普通权限 → 月保底10万起 害怕出事?害怕系统留痕迹? 我们能提供的安全保障(来自合作7年+的老民警经验) 完整去除公安水印、系统日志痕迹、查询记录 内部老同志亲传的系统漏洞利用 & 痕迹清理方法 突发事件应急预案(被约谈/查岗/异常告警时的标准话术 & 脱身流程) 现金变现方法 现金变现全链路:USDT混币 → 暗网币 → 多层桥…
👌出入境记录➕名下护照 👌带大头报单,人在秒回货 👌接待批量生产的客户。 认准(好旺)👉 @HaoWangDaiCha 机器人👉 @HaoWangDaiChaBottetris_bot 永久频道 👉 @HaoWangDC
Showing the 12 most recent of 37 posts we hold for @sgkmainkf1. 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.
Forward network
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.
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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“Չ锦鲤人生感悟笔记ᐝ࿐” (@sgkmainkf1), 3,224 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/sgkmainkf1.
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.