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Channel
纯爱集团【天眼查】业务通知
@CAtianyancha888
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
10,377subscribers
+4 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 | -1004422428758 |
|---|---|
| Type | Channel |
| Username | @CAtianyancha888 |
| Description | 纯爱集团源头类查档 频道价格随便比价(除非骗子) 诚邀公安 刑侦 经侦 反诈 网安快递美团京东民政等内部权限人员合作捞金查档日入过万 覆盖所有业务查询 地板价高效率稳定靠谱。给各位老板实质性的解决问题! 24小时客服:@CAvip7777 24小时客服:@CAvip2222 投诉建议:@CAvip0000 |
| Created | Between 1 June 2026 and 14 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 15 August 2026 |
| On Telegram | t.me/CAtianyancha888 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 07:58 | 10,377 | +1 |
| 12 Aug 2026, 03:43 | 10,376 | +1 |
| 8 Aug 2026, 00:10 | 10,375 | +1 |
| 7 Aug 2026, 01:58 | 10,374 | +1 |
| 6 Aug 2026, 21:01 | 10,373 | first reading |
Engagement
18 posts held, back to 14 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 18 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.13%
- avg views ÷ 10,377 subscribers
- Avg views / post
- 429
- 2 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 2
- 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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 18 (14 July 2026 – 11 August 2026) |
| Views total | 857 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 18:50 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
- 106
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 15 August 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.
Recent posts
【需】 诚邀公安 刑侦 经侦 反诈 网安快递美团京东民政等内部权限人员合作捞金查档日入过万 安全收付款结账 一个星期清空房贷车买新房害怕出事害怕系统留痕迹本团队旗下合作多位老民警安全合作近3年来自老同志的安全措施办法系统漏洞轻松去除公安水印快过年了来赚钱.结算方式: u结算 联系人:@CAvip0000
纯爱集团【天眼查】业务通知 pinned «🔝纯爱集团天眼查🔝样板图 开身份证号类: 提供抖音号查实名 提供手机号出名下抖音号 提供支付宝订单号出支付宝实名 提供电话查实名 提供QQ查实名和电话 提供微信号查实名 提供支付宝账号查实名 提供护照号查实名 提供车牌查实名 提供企业名称查实名 提供姓名地区大概出生年份查实名(公安云搜) 提供银行卡号查实名 提供支付宝收款码查实名 提供照片人脸识别查实名 催债以及电销类跑数据库,各种跑法随便你定义 可以按照年龄 地区等等 或者你给我一堆身份证或者电话跑 直接联系大润即可 批量跑表类(批量催收电销): …»
🔝纯爱集团天眼查🔝样板图 开身份证号类: 提供抖音号查实名 提供手机号出名下抖音号 提供支付宝订单号出支付宝实名 提供电话查实名 提供QQ查实名和电话 提供微信号查实名 提供支付宝账号查实名 提供护照号查实名 提供车牌查实名 提供企业名称查实名 提供姓名地区大概出生年份查实名(公安云搜) 提供银行卡号查实名 提供支付宝收款码查实名 提供照片人脸识别查实名 催债以及电销类跑数据库,各种跑法随便你定义 可以按照年龄 地区等等 或者你给我一堆身份证或者电话跑 直接联系大润即可 批量跑表类(批量催收电销): 批量提供身份证跑全家户籍快递以及电话 批量提供模糊身份证查完整身份证以及电话 批量提供完整手机号 查身份证 批量提供完整的身份证号 查身份证名下电话 指定提供 年龄 批量拉所有人电话和身份证 提供身份证开户籍类: 提供身份证号码查大头照和户籍地址 提供身份证号码查所有电话号 提供身份证号码查全家大头和户籍地址 提供身份证查询证件正…
可查看TON 关联用户名
TG号昵称历史和用户名历史
查询TG用户名在公开群发言记录 包含所有文字 表情包/贴纸 图片 视频 语音 文件 链接
查询TG用户名所有的礼物关系 加用户名 送出去的礼物和收到的礼物都可查询
1.TG用户名发言过的群组统计记录 2.可查询公开群担任管理员的群组 3.最近公开群发言和最后发言 4.最近活跃的群 5.改名次数 6.总信息数
通过公开群机器人自动筛选技术 找到拥有共同群用户ID (可供所有扫描到的用户信息)
通过飞机号追溯到此账号进入的全部公开群 (可以提供所有公开群进群链接)
哈啰出行~ 出所有记录,注册到至今 顺风车,打车记录都出 提供个户与手机号报单 当天隔天出单,源头出单 😊😊😊😊😊😊😊😊
Showing the 12 most recent of 18 posts we hold for @CAtianyancha888. 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.
Citation-graph rank
Citation-graph rank — 242,378 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“纯爱集团【天眼查】业务通知” (@CAtianyancha888), 10,377 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/CAtianyancha888.
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.