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Channel

维基百科🏅查档通知频道

@WiKiTYC

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

35,589subscribers

-1,145 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002118539619
TypeChannel
Username@WiKiTYC
Description🌟专业付费查档服务请联系: @WiKichadang 🌟免费社工库: @HiveSGK1_bot ✨汽车轨迹 个人户籍 全家户籍 手机定位 犯罪在逃 网络订单地址 手机机主 名下车 文字猎魔 出入境记录 服刑记录 婚姻记录 等等一切业务 欢迎来问!
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 October 2026
Measurements held50
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/WiKiTYC

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

35,58936,73436,161.57 August 2026 — 36,734 subscribers7 August 2026 — 36,734 subscribers8 August 2026 — 36,722 subscribers9 August 2026 — 36,704 subscribers10 August 2026 — 36,682 subscribers11 August 2026 — 36,674 subscribers12 August 2026 — 36,666 subscribers13 August 2026 — 36,663 subscribers14 August 2026 — 36,662 subscribers16 August 2026 — 36,644 subscribers17 August 2026 — 36,619 subscribers18 August 2026 — 36,615 subscribers19 August 2026 — 36,602 subscribers20 August 2026 — 36,610 subscribers21 August 2026 — 36,598 subscribers23 August 2026 — 36,543 subscribers25 August 2026 — 36,507 subscribers26 August 2026 — 36,493 subscribers27 August 2026 — 36,498 subscribers28 August 2026 — 36,491 subscribers29 August 2026 — 36,484 subscribers30 August 2026 — 36,466 subscribers31 August 2026 — 36,452 subscribers1 September 2026 — 36,432 subscribers2 September 2026 — 36,417 subscribers3 September 2026 — 36,403 subscribers5 September 2026 — 36,365 subscribers9 September 2026 — 36,322 subscribers11 September 2026 — 36,282 subscribers13 September 2026 — 36,260 subscribers15 September 2026 — 36,250 subscribers17 September 2026 — 36,229 subscribers19 September 2026 — 36,171 subscribers26 September 2026 — 36,059 subscribers4 October 2026 — 35,938 subscribers9 October 2026 — 35,843 subscribers13 October 2026 — 35,764 subscribers14 October 2026 — 35,743 subscribers15 October 2026 — 35,729 subscribers16 October 2026 — 35,711 subscribers17 October 2026 — 35,708 subscribers18 October 2026 — 35,700 subscribers19 October 2026 — 35,695 subscribers20 October 2026 — 35,685 subscribers21 October 2026 — 35,664 subscribers22 October 2026 — 35,638 subscribers24 October 2026 — 35,632 subscribers25 October 2026 — 35,609 subscribers26 October 2026 — 35,590 subscribers27 October 2026 — 35,589 subscribers7 August 202627 October 2026
50 measurements spanning 81 days, net -1,145. 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 35,417–36,906 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)SubscribersChange
27 Oct 2026, 05:1935,589-1
26 Oct 2026, 08:1635,590-19
25 Oct 2026, 05:3035,609-23
24 Oct 2026, 02:0835,632-6
22 Oct 2026, 23:4735,638-26
21 Oct 2026, 18:2835,664-21
20 Oct 2026, 14:3835,685-10
19 Oct 2026, 16:2835,695-5
18 Oct 2026, 19:5735,700-8
17 Oct 2026, 20:1135,708-3
16 Oct 2026, 20:3435,711-18
15 Oct 2026, 23:2835,729-14
14 Oct 2026, 20:3735,743-21
13 Oct 2026, 09:0435,764-79
9 Oct 2026, 05:2135,843-95
4 Oct 2026, 16:5835,938-121
26 Sept 2026, 19:3736,059-112
19 Sept 2026, 17:5736,171-58
17 Sept 2026, 04:4136,229-21
15 Sept 2026, 02:5836,250first reading

Engagement

133 posts held, back to 9 April 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 148 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.21%
avg views ÷ 35,589 subscribers
Avg views / post
432
48 posts measured
Reaction rate
0.599%
reactions ÷ views · ER floor
Posts in window
48
of 133 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 34 of 48 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 October 2026
Posts held133 (9 April 2026 – 26 October 2026)
Views total20,723
Reactions total89
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 12:41 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
337
Links
6

Lifetime counters from Telegram’s own channel header, read 27 October 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.

Reaction mix

181 reactions across 74 posts, in 3 distinct kinds. The most used accounts for 59.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10859.7%
👍7239.8%
😍10.552%

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 80 of the 133 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 181 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 133 most recent posts we hold, published 9 April 2026 to 26 October 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

26 Oct 2026, 17:57 UTC154 views4 reactionsread 27 October 2026

全国系统 十年单开 五年飞火 十年飞火 十年人轨 五年开同 十年开同 人轨+开同 五年开同当天隔天回 十年单开飞火人轨开同1-3回 发车包交付 保真不包漏 批量来谈 敏感自查 敏感扣单 法人超200扣单 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

26 Oct 2026, 17:57 UTC141 views4 reactionsread 27 October 2026
Photo

名下社交账号 很稳 降价 抖音 快手 小红书 网易云 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

26 Oct 2026, 17:57 UTC109 views4 reactionsread 27 October 2026
Photo

美团饿了么京东闪购一年所有订单 强烈推荐👍 出过的都知道 1-2天回单 基本上无遗漏私聊拿模板 ✅带订单编号 下单人手机号 ✅带收货人手机号 收货地址 ✅商家名称 商家地址 ✅商家的id 商品详情 三要素报单 敏感收费扣单!! @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

26 Oct 2026, 17:57 UTC92 views4 reactionsread 27 October 2026
Photo

破解人脸要姓名 不定时秒 警务通人脸 五头 有名字按名字出 可备注 不对不出 模糊 五官不全 美颜 P图不包核验 出单不扯皮 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

26 Oct 2026, 17:57 UTC88 views4 reactionsread 27 October 2026
Photo

🐾三网精准定位晚上九点到凌晨一点 🐾老二网定位开上午11点到午夜1点 🐾移动专线上午 9.30到;凌晨2.00 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

18 Oct 2026, 14:51 UTC≈1,120 views7 reactionsread 27 October 2026
Photo

全国房产 源头收单 ❤️ 稳定回单·3个工作日回 空不收费 可备注只要一套 不可排除车位宅基地 无遗漏·支持埋雷打假 带查封抵押单元号产权号 60岁以上和未成年不出 报单年龄范围:1967年-2008年 地址只到小区没栋没单元没门牌 @WiKichadang

❤5👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

18 Oct 2026, 14:51 UTC958 views4 reactionsread 27 October 2026
Photo

网逃详情老版本 带撤销 带拘留证 空给图正常收 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

18 Oct 2026, 14:50 UTC826 views4 reactionsread 27 October 2026
Photo

两卡边控 给图收费 当天隔天回 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

18 Oct 2026, 14:50 UTC626 views4 reactionsread 27 October 2026

自家技术已突破 高德地图轨迹 老线回归 稳定回单 渠道在线 就秒回单 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 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

18 Oct 2026, 14:50 UTC458 views5 reactionsread 27 October 2026
Photo

源头支付宝码反 批量拿刀🔪砍我❗️ 有量价格绝对是你想不到的价格 人在直接秒单❗️ @WiKichadang

❤3👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

17 Oct 2026, 06:57 UTC570 views4 reactionsread 27 October 2026
Photo

出入境记录 全天秒出 敏感现在也秒出 图1 出入境不带国家 图2 独家带去往国家记录 敏感明星加钱可以出 ⚠️ 须提前告知 不然发现回扣单哦 !!! 报单提供:身份证名字 个户大头 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

17 Oct 2026, 06:56 UTC518 views4 reactionsread 27 October 2026
File

全网最强美团饿了么京东闪购一年所有订单 当天回单 带订单编号 下单人手机号 收货人手机号 收货地址 商家名称 商家地址 商家id 商品详情 名字+身份证+电话报单 好渠道不常有 需要的抓紧来问 @WiKichadang

❤2👍2

Signed 维基百科 🏅人工查询 🟣官方认唯一账号

Showing the 12 most recent of 133 posts we hold for @WiKiTYC. 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.

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 October 2026 — this entry's latest reading, not the date you are reading this.

“维基百科🏅查档通知频道” (@WiKiTYC), 35,589 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/WiKiTYC.

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.