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Channel
【擎天】DPI I SDK I 全球数据渗透 I 网贷数据|贷款数据|WD数据|信用卡数据|助贷数据
@qt88862
On this record: Growth · Engagement · Posts · Citations · Cite this entry
34subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002442111625 |
|---|---|
| Type | Channel |
| Username | @qt88862 |
| Created | 2 March 2025 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/qt88862 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 02:57 | 34 | +1 |
| 11 Aug 2026, 01:02 | 33 | no change |
| 6 Aug 2026, 19:49 | 33 | first reading |
Engagement
2 posts held, back to 2 March 2025 — 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.94%
- avg views ÷ 34 subscribers
- Avg views / post
- 1.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 2 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.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 2 (2 March 2025 – 10 August 2026) |
| Views total | 1 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 01:02 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.
Recent posts
Channel created
Showing the 2 most recent of 2 posts we hold for @qt88862. 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 — 590,698 of 1,350,102entries 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 33 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@baijiale312f · 41 post啊酒抖音代刷
@daishuapindao · 111 post麻豆影视|国产无码AV专区
@gdcvf121 · 81 post全球TG曝光社【新闻吃瓜】
@GZAX1354 · 71 post花城
@huacheng1212 · 161 post万利开户 万利官方 PA开户 PA官方
@huangguan2b · 61 post美高梅金殿娱乐场-澳门赌场-百家乐技巧
@ItsSuhLin · 51 post动漫魔女
@luoyvw · 111 post墨镜先生
@Mr_sunglass · 1231 post上海修车免费资源浦东闵行静安徐汇虹囗松江-圣淘沙娱乐
@oneaguy · 71 post福布斯代理 福布斯官网 福布斯百家乐 福布斯真人
@oubo2a · 51 post福布斯代理 福布斯官网 福布斯百家乐 福布斯私网
@oubojjid · 91 post环球360代理 环球360官网 环球360私网 环球私网
@oubosiwang188 · 51 post金沙娱乐《AG亚游》官方招商
@vjqianzi · 71 post未来天空
@weilaitiankong1 · 131 post欧博私网 欧博包杀 亚星私网 亚星包杀
@weiletoushi12 · 41 post小哥哥爱分享
@xiaogege_vip · 541 post欧博-亚星百家乐官方直营
@XKTY123456 · 161 post东南亚博彩新闻-缅甸赌场-泰国赌场-腾龙赌场
@xoso9_o · 81 post万利网址 万利注册 PA注册 PA网址
@yaxing1o · 41 post皇冠官网|皇冠登1|皇冠登2|皇冠登3
@yaxing534 · 2931 postPA代理 PA官网 PA百家乐 PA真人
@yaxingdff · 61 post欧博私网 亚星私网 欧博假网 亚星假网
@yaxingdr · 51 postIT之家
@yunijins · 2111 post
Names
Channels on the register whose handles appear in this channel's posts.
@AGBCA · 45,0681 post速搜官方频道-TON中文索引🇨🇳
@cn123 · 8,9681 post戒赌第一群/黑平台爆光/爆光黑平台
@egg666999 · 201 post解决苹果提示描述文件错误mobileprovision
@hasnzf · 81 post街访突击队㊙️㊙️㊙️
@Jtujidui · 1321 post迷奸 下药 尾随
@luoshanjiheiyijietoukehu711 · 371 postMaxPanel - 社媒增粉平台🚀
@MaxpanelCC · 17,2001 post欧博代理 亚星代理 亚星假网 欧博假网
@oubo006 · 141 post奴隶 监禁 调教
@qipaoshuigoudoubuhehaha8124 · 101 post小径飞雪
@snow_alleyway · 181 post速搜
@ssou · 209,6721 post体育世界《博彩圈》真人视讯
@SZJT_Fangzi · 61 post速搜❤️🔥流量互推/广告交易
@TonAdNews · 8,6201 post🇹🇼台灣困困賴667v的技術型熟女外送茶專區🌸保證秒回上門服務叫小姐
@tw940 · 3001 post⭕微密圈/抖音/快手/网红/福利姬/觅圈/铁粉空间/每日更新/免费分享资源
@weimiQ_miQ · 4031 postXpanel.plus 一站式增粉平台🌈拉人增粉🌈海外引流🌈
@xpanel · 15,4931 postPA平台 PA私网 PA假网 PA包杀
@yaxingsiwang687 · 41 post东南亚大事件 金三角大事件 缅甸大事件
@yuenanU · 227,6581 post
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“【擎天】DPI I SDK I 全球数据渗透 I 网贷数据|贷款数据|WD数据|信用卡数据|助贷数据” (@qt88862), 34 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/qt88862.
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.