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Channel

清酒全能查档

@qingjiu8865

On this record: Growth · Engagement · Posts · Citations · Cite this entry

4,491subscribers

-387 since we began measuring on 16 September 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001376453051
TypeChannel
Username@qingjiu8865
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 September 2026
Last confirmed live27 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/qingjiu8865

Growth

4,4914,8784,684.516 September 2026 — 4,878 subscribers16 September 2026 — 4,878 subscribers27 September 2026 — 4,491 subscribers16 September 202627 September 2026
3 measurements spanning 11 days, net -387. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 4,433–4,936 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 04:174,491-387
16 Sept 2026, 11:224,878no change
16 Sept 2026, 10:474,878first reading

Engagement

18 posts held, back to 29 August 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
12.7%
avg views ÷ 4,491 subscribers
Avg views / post
571
11 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
11
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 September 2026
Posts held18 (29 August 2026 – 16 September 2026)
Views total6,286
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Sept 2026, 11:22 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.

Recent posts

16 Sept 2026, 06:16 UTC616 viewsread 16 September 2026

全网最全地区头: 12天津2️⃣🔤 13河北1️⃣🔤 32江苏1️⃣🔤 33浙江 4️⃣🔤 34安徽 4️⃣🔤 36江西4️⃣🔤 37山东3️⃣🔤 41河南4️⃣🔤 42湖北2️⃣🔤 43湖南1️⃣🔤 44广东4️⃣🔤 45广西1️⃣🔤 46海南1️⃣🔤 50重庆3️⃣🔤 52贵州3️⃣🔤 62甘肃4️⃣🔤 63青海1️⃣🔤 64宁夏1️⃣🔤 65新疆2️⃣🔤 14山西 3️⃣🔤 地区户籍地: 11北京2️⃣🔤 34安徽 2️⃣🔤 50重庆2️⃣🔤 44广东2️⃣🔤 福建单地址 地区头机器人: @QJDQGH_BOT 客服: @qingjiuCD

12 Sept 2026, 09:47 UTC571 viewsread 16 September 2026

刑侦全户 开 😉😉😉 已回单 带迁出 迁出⚡️ 私聊拿板 限量收单 真正的刑侦全户 实时户籍系统数据 之前空的/数据不实时的可上

10 Sept 2026, 06:31 UTC574 viewsread 16 September 2026
Photo

美团10条😉😉😉😉 当天隔天回 提供手机号

8 Sept 2026, 04:05 UTC577 viewsread 16 September 2026
Photo

独家高德地图轨迹😀😃😀 老线回归 稳定回单 渠道在线 就秒回单 独家渠道 全网唯一 同行代理找我拿价格 利润拉满 历史所有去过地址 历史所有打车记录 高德机票记录 高德订酒店 能出酒店记录 他历史旅游记录+时间 所有导航记录 没有遗漏 概率出车牌号 只要在高德上使用过的都能显示 抓人神器 比美团 邮政 各种外卖快递都好 敏感提前说加钱出 不提前说收费不出单! 报单提供 姓名 身份证 手机号

5 Sept 2026, 16:05 UTC575 viewsread 16 September 2026

开同新线 😉😉😉😉😉 今天报明天百分百回

5 Sept 2026, 14:57 UTC578 viewsread 16 September 2026

微信绿码码反 商家码码反 😉😉😉 已测试 不是那种口嗨 回名字和身份证号 商家码➕5U 空不收费 提供:微信收款码

5 Sept 2026, 11:15 UTC577 viewsread 16 September 2026

微信绿码码反 商家码码反 😉😉😉 已测试 不是那种口嗨 回名字和身份证号 商家码➕5U 空不收费 提供:微信收款码

5 Sept 2026, 07:39 UTC576 viewsread 16 September 2026
Photo

警务通人脸识别 😉😉😉 提供照片:默认出最高相似度 提供照片+名字:对上默认出 提供照片+名字+地区:对上一条默认出 提供照片+名字+地区+年龄:对上一条默认出 敏感收费不给单 带备注报避免扯皮 敏感收费不给单 带备注报避免扯皮 带公网地址 带公网地址 带公网地址 有备注不对可以不出 不出不收费 精准人脸点射 美颜 照片不清晰 可能会识别错误 出单不扯皮 接受了报 当天隔天回 批量来谈优势

3 Sept 2026, 11:33 UTC568 viewsread 16 September 2026
File

【手机轨迹】 老版本 WIFI链接+gps轨迹,恢复。一年内所有轨迹,满5条出单收费。每天15.30之前保单当天回。 一年 😉😉😉😉 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。

Showing the 12 most recent of 18 posts we hold for @qingjiu8865. 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“清酒全能查档” (@qingjiu8865), 4,491 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/qingjiu8865.

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.