『Data Driven F1』のカバーアート

Data Driven F1

Data Driven F1

著者: Ganna Pogrebna and Patrick Henz
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Join Ganna Pogrebna and Patrick Henz for the new take on technology, data, and behavior in Formula 1.770184
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  • Nigel Mansell - Il Leone with the Red 5
    2025/10/15

    Nigel Mansell isn’t just a racing legend, he’s a symbol of relentless determination, raw talent, and the sheer will to defy the odds. From his humble beginnings to becoming the 1992 Formula 1 World Champion, Mansell’s journey is one of triumph over adversity, heart-stopping duels, and a connection with fans that transcended the sport.

    Patrick Henz discusses the life and career of “Il Leone” (The Lion), exploring the moments that defined him, including his iconic Red Five, the Williams-Renault, and that unforgettable 1992 season where he dominated the grid with a record-breaking 14 pole position. But Mansell’s story isn’t just about speed, it is about resilience.


    #Formula1 #F1 #NigelMansell #Mansell

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    31 分
  • Formula 1 Season 1989
    2025/10/08

    The 1989 Formula 1 season was one of the most dramatic and controversial years in the history of the sport. With the introduction of new regulations banning turbo engines, the championship saw intense battles between legendary drivers, shifting team dynamics, and unforgettable rivalries.Patrick Henz discusses a potential new team which never made it to the starting grid, change of technical regulations and the fierce championship fight between Ayrton Senna and Alain Prost.Join us as we relive the politics, the rivalries, and the racing action that made 1989 a defining chapter in F1 history.

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    49 分
  • Being Ayrton Senna
    2025/10/01

    This special episode of Data Driven F1 focuses on Ayrton Senna’s mindset.Patrick Henz explores the cognitive behaviors that set Senna apart from the rest of the field, including faith, self-actualization, dehumanization, and humanization. We also take a look at the iconic McLaren-Hondas and his special relationship with Japan, before finishing with a selection of songs.

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    54 分
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