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Why F1 Mathematicians Should Be Paid More than Drivers

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Konten disediakan oleh MIT Sloan Management Review. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh MIT Sloan Management Review atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.

On the Formula One circuit, tenths and even hundredths of seconds can be the difference between podium glory and being out of a job. Races are won and lost thanks to the skills of the drivers and the strength of the car, it is true. But as the sheer volume of data available to F1 teams increases, another group of individuals have become key contributors to a team’s success: data analysts. Analysts run countless simulations, incorporating every possible variable, to inform their drivers’ race strategy on Sunday and achieve maximum performance for the driver and the racecar. But while salaries and sponsorships can push a driver’s annual income into the 8-figure range, the mathematical brains in the background make just a fraction of that. If the person analyzing the numbers and making decisions about race strategy is just as important as the person steering the wheel, shouldn’t they also be reaping the financial windfall? James Allen certainly thinks so. The President of Motorsport Network, James has covered Formula 1 as a journalist for over 30 years and has seen firsthand the sport’s data-driven revolution. We asked James to defend his position.

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25 episode

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Seri yang sudah diarsipkan ("Feed tidak aktif" status)

When? This feed was archived on January 13, 2024 12:08 (3M ago). Last successful fetch was on October 12, 2023 18:12 (6M ago)

Why? Feed tidak aktif status. Server kami tidak mendapatkan feed podcast yang valid secara terus-menerus.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 224804539 series 2456806
Konten disediakan oleh MIT Sloan Management Review. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh MIT Sloan Management Review atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.

On the Formula One circuit, tenths and even hundredths of seconds can be the difference between podium glory and being out of a job. Races are won and lost thanks to the skills of the drivers and the strength of the car, it is true. But as the sheer volume of data available to F1 teams increases, another group of individuals have become key contributors to a team’s success: data analysts. Analysts run countless simulations, incorporating every possible variable, to inform their drivers’ race strategy on Sunday and achieve maximum performance for the driver and the racecar. But while salaries and sponsorships can push a driver’s annual income into the 8-figure range, the mathematical brains in the background make just a fraction of that. If the person analyzing the numbers and making decisions about race strategy is just as important as the person steering the wheel, shouldn’t they also be reaping the financial windfall? James Allen certainly thinks so. The President of Motorsport Network, James has covered Formula 1 as a journalist for over 30 years and has seen firsthand the sport’s data-driven revolution. We asked James to defend his position.

  continue reading

25 episode

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