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订阅数2080万
总播放43.2亿
视频数509
Veritasium发布于 2026年5月30日 22:4629:54
Google Maps is unreasonably fast. Let me explain thumbnail

Google Maps is unreasonably fast. Let me explain

8天前观察窗口
veritasiumsciencephysicsVeritasiummathgoogle maps unreasonably
发布时间
2026年5月30日 22:46
视频时长
29:54
视频类型
科学与科技
频道地区
美国
发布时间判断
发布时间判断数据不足
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商业化判断
高 RPM
当前视频具备较高 RPM 区间,说明主题更接近商业化友好的广告库存,适合复盘标题、受众和内容长度。
动作建议
优先观察持续增长能力
当前视频基础条件较完整,建议继续观察近7日播放和收入是否稳定抬升,再决定是否扩写成系列内容。
播放量
432.7万
点赞数
10.9万
评论数
4175
日预估收入
$320.82 - $1871.4
累计预估收入
$4153.6 - $2.4万
RPM 区间
$0.96 - $5.6
1日涨播放
0
7日涨播放
0
1日涨点赞
0
7日涨点赞
0
1日涨评论
0
7日涨评论
0
速度分
0%
主题聚类
veritasium
视频说明
The math behind Google Maps. Sponsored by boot.dev - Click this link https://boot.dev/?promo=VERITASIUM and use our code VERITASIUM to get 25% off your first payment for boot.dev. If you’re looking for a molecular modelling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV Sign up for the Veritasium newsletter for weekly science updates - https://ve42.co/Newsletter For those curious about the path-count estimate: we estimated the non-backtracking paths NYC→SF, using a sparse spatial network model with mean degree ≈ 2.5 and characteristic length ≈ √N. ▀▀▀ 0:00 What is a ‘shortest path algorithm’? 3:30 Dijkstra’s 20 Minute Algorithm 6:30 The First Route Planner 10:31 A* Search Algorithm 12:40 Shortest Doesn’t Mean Fastest 15:08 Road Network Hierarchy 18:29 Mapping North America - Nested Dissection 25:17 How do map apps work? 28:04 Simplicity is prerequisite for reliability ▀▀▀ Check out @twoswap's channel for some fantastic videos! A big thank you to Ben Strasser and Julian Dibbelt who were incredibly gracious with their time and feedback. Thank you to all the experts we interviewed for this video: Aaron Bernstein, Tim Roughgarden, Tomas Rokicki, Jon Kleinberg, Virginia Vassilevska Williams, Peter Sanders, and the team behind the SSSP Barrier Paper: Xinkai Shu, Ran Duan, Xiao Mao, Longhui Yin, Jiayi Mao For more information on how you choose A*'s heuristic, check out Polylog's video: https://youtu.be/A60q6dcoCjw?si=5LHOmZ8ZKvR_kLcx If you'd like more information on Minecraft's A*, check out RedLogic's video: https://youtu.be/Zg0Cxn8AVZA?si=DyECX4wmeuSb4c1n ▀▀▀ References: https://ve42.co/DijkstraRefs ▀▀▀ Special thanks to our Patreon supporters: Adam Foreman, Albert Wenger, Alex Porter, Alexander Tamas, André Powell, Anton Ragin, Balkrishna Heroor, Bertrand Serlet, Blake Byers, Bruce, Bryan Ackermann, Chris Brewer, Data Don, Dave Kircher, David Johnston, David Tseng, EJ Alexandra, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, Hayden Christensen, Hong Thai Le, Ibby Hadeed, Jeromy Johnson, Jesse Brandsoy, Juan Benet, Kelcey Steele, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Mark Heising, Martin Paull, Meekay, meg noah, Michael Krugman, Moebiusol - Cristian, Orlando Bassotto, Parsee Health, Paul Peijzel, Richard Sundvall, Robson, Sam Lutfi, Shalva Bukia, Sinan Taifour, Tj Steyn, Ubiquity Ventures, Vahe Andonians, wolfee ▀▀▀ Writers: Sulli Yost Producer & Director: Sulli Yost Presenter: Henry van Dyck & Derek Muller Editor: Jonny Lennard and Trenton Oliver Additional Editor: James Stuart Camera Operators: Sulli Yost & Henry van Dyck Illustrators: Jakub Misiek & Maria Gusakovich Animators: @twoswap, Andrew Neet, Jonny Lennard, Alex Drakoulis & Fabio Albertelli Researchers: Aakash Singh Bagga & Callum Cuttle Thumbnail Designers: Abdallah Rabah, Ren Hurley, Ben Powell & Daniel Ellacott Production Team: Jess Bishop-Laggett, Glen Griffiths, Matthew Cavanagh & Anna Milkovic Executive Producers: Casper Mebius, Gregor Čavlović & Derek Muller Map data © OpenStreetMap contributors, available under the Open Database License: https://www.openstreetmap.org/copyright Additional video/photos supplied by Getty Images and Pond5 Music from Epidemic Sound
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视频常见问题

以下问题重点解释这条视频能看什么、收益为何是估算值,以及如何把它用于内容研究与竞品分析。

这个视频页能看出什么?

你可以查看播放、点赞、评论、RPM 与收益估算、发布时间、主题标签、相关视频以及所属频道背景,用来判断内容表现和后续选题方向。

为什么 RPM 和收益只是估算值?

实际收入会受到广告填充率、受众地区、季节性、广告主需求与是否开启变现等因素影响,因此页面给出的数字更适合做趋势判断和横向比较。

怎么用这个视频页做内容研究?

建议结合发布时间、主题标签、相关视频与频道历史内容,观察什么题材、节奏和发布窗口更容易拿到播放与商业化表现。