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訂閱數2080萬
總播放43.2億
影片數509
Veritasium發布於 2026年5月30日 下午10:4629:54
Google Maps is unreasonably fast. Let me explain thumbnail

Google Maps is unreasonably fast. Let me explain

8 天前觀察窗口
veritasiumsciencephysicsVeritasiummathgoogle maps unreasonably
發布時間
2026年5月30日 下午10:46
影片時長
29:54
影片類型
科學科技
頻道地區
美國
發布時間判斷
發布時間判斷資料不足
當前頻道仍缺少完整的歷史發布時間模式,建議繼續累積頻道資料後再觀察最佳時段命中情況。
商業化判斷
高 RPM
當前影片具備較高 RPM 區間,說明主題更接近商業化友好的廣告庫存,適合復盤標題、受眾和內容長度。
動作建議
優先觀察持續成長能力
當前影片基礎條件較完整,建議繼續觀察近7日播放和收入是否穩定抬升,再決定是否擴寫成系列內容。
播放量
432.7萬
按讚數
10.9萬
留言數
4175
日預估收入
$320.82 - $1871.4
累計預估收入
$4153.6 - $2.4萬
RPM 區間
$0.96 - $5.6
1日漲播放
0
7日漲播放
0
1日漲按讚
0
7日漲按讚
0
1日漲留言
0
7日漲留言
0
速度分
0%
主題聚類
veritasium
影片說明
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
同主題推薦
圍繞當前主題繼續看高相關影片,幫助判斷選題空間和內容形態。
主題:veritasium
暫無足夠的同主題影片資料。
影片常見問題

以下問題聚焦這支影片能提供哪些洞察、收益為何是估算值,以及如何用它做內容研究。

這個影片頁能看出什麼?

你可以查看觀看、按讚、留言、RPM 與收益估算、發布時間、主題標籤、相關影片以及所屬頻道背景,用來判斷內容表現與後續選題方向。

為什麼 RPM 和收益只是估算值?

實際收入會受到廣告填充率、受眾地區、季節性、廣告需求與是否開啟營利等因素影響,因此這些數字更適合拿來看趨勢與做橫向比較。

怎麼用這個影片頁做內容研究?

建議搭配發布時間、主題標籤、相關影片與頻道歷史內容,觀察哪些題材、節奏與發布時段更容易帶來觀看與商業化表現。