#温良的中国人

Channel
王冰冰
@wangbingbingbeauty
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
11subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001773735815 |
|---|---|
| Type | Channel |
| Username | @wangbingbingbeauty |
| Created | Between 1 December 2021 and 11 September 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/wangbingbingbeauty |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 06:46 | 11 | no change |
| 7 Aug 2026, 06:24 | 11 | first reading |
Engagement
13 posts held, back to 11 September 2022 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 26 December 2022. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 116
- Videos
- 8
- Links
- 21
Lifetime counters from Telegram’s own channel header, read 12 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.
- Video runtime
- 59s
- Average length
- 59s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| ❤ | 1 | 33.3% |
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 3 of the 13 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 11 September 2022 to 26 December 2022, 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
确实能值这个价格
滑
👍1
Photo, posted without a caption
🥰
Video, posted without a caption
新手必备社工库,老司机可无视 点击蓝色文字可跳转 1.红鼻子,tg老牌社工库,目前已注销。 2.tmd社工库,免费,数据多少与邀请数有关。 3.订单机器人,主要查询通讯录和历史淘宝订单,需要积分。积分可通过邀请或直接购买获得。1积分=1u≈6.7rmb。频道不定期会送白嫖福利但是会公开在主频,如不想泄露隐私可联系 @zahuoshichang_bot 代查,代查价格20u(原价29u),只接受usdt付款。 4.sgk520,新出的机器人,自行尝试。 5.放大镜,新出的机器人,自行尝试。 6.平安社工库,新出的机器人,自行尝试。 7.data007,新出的机器人,自行尝试。 邀请值技巧:去热门推特或推特大V新发的内容下方评论发链接,一天不用多发几个就行。一天几十点邀请制那是轻轻松松。 搜不到信息的几种情况: ①对方是老人小孩,或者从来不用手机电脑的群体。 ②对方使用的不是自己大号,骗子骗钱通常会使用小号或新号,…
❤1👍1
王冰冰 pinned Deleted message
祝各位大佬在中秋节里:Windows开机蓝屏,Linux开机Kernel Panic,macos开机五国,服务器iDRAC/ iLO/IPMI/KVM全部失联,路由器全爆炸,路由表内存全溢出,交换机全环路,防火墙全阻断,无线信道全冲突,压接网线全短路,bgp全漏表,机柜全断电,raid全爆炸,nas数据全丢,光模块全炸,光纤全不通,光猫全烫手,电表全倒转,空开全烧穿。 PHP全Fatal Error,fileinfo全装不上,npm/composer install全报错,Laravel Mix全报未知错误,服务器全部宕机,电脑开机报错,Linux rm -rf /*,数据库Delete,CN2全绕路,线路全阻断,海外网站全被墙,服务器炸库,网关无响应,代理500,网站502,RAID组几个一起炸几个,UPS爆炸,一年到头DDOS CC不断,流量几千个T,并发上亿,ping全超时,备案全重审,资源404,SSL全重定向,CDN全…
【来自投稿】1937年,美国肯塔基州大洪水,大水退去后,人们发现一匹马的尸体被洪水冲到了树上,就在树下合影 source
【来自投稿】1870年 斑驴,斑驴已经在1883年灭绝 source
【来自投稿】1985年的尼尔·盖曼 尼尔·盖曼(1960.11.10— ),英国作家,作品包括短篇小说、长篇小说、漫画、图像小说、非虚构作品、广播剧和电影。代表作有漫画系列《睡魔》和小说《星尘》《美国众神》《好兆头》(与特里·普拉切特合著)《鬼妈妈》《坟场之书》等。他的作品赢得过多个奖项,包括雨果奖、星云奖和布莱姆·斯托克奖,纽伯里奖和卡内基奖。2008年,他凭借《坟场之书》成为第一位因同一部作品同时获得纽伯瑞奖和卡内基奖的作者。2013 年,他的作品《车道尽头的海洋》被评为英国国家图书奖年度图书。 source
Showing the 12 most recent of 13 posts we hold for @wangbingbingbeauty. 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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@wangbingbingbeauty named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“王冰冰” (@wangbingbingbeauty), 11 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/wangbingbingbeauty.
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.