Test Special Issue

Game Change

Do elite athletes really make elite employees?

Sports, we tend to assume, offer a sharp-edged reflection of business life in microcosm — leadership under pressure, the winning mentality, valuable lessons drawn from loss. It’s all there. Just kick back with a beer and a pizza and watch your pathway to workplace success unfold on game day. Well, it turns out that the connections are often far more nuanced than we might have presumed. Do elite athletes really make elite employees? What’s the connection between Swedish pragmatics in soccer and a thriving startup culture? Have you factored in the difference between “wicked” and “kind” environments (and what does that even mean)? We investigate all of these pivotal tangents, and much more, in this Big Think special collection of essays, interviews, and curated book excerpts. Forget everything you’ve been told about the synergies between sports and business. It’s time to rewrite the rules.

Blue background with the words "Game Change" in white, surrounded by strategic game symbols and graphs in the background.
Presented by
John Templeton Foundation
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wormholes
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World map highlighting the Brandt Line, dividing the Global North and Global South across continents.
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Oxford professor of ethics, John Tasioulas, thinks we should consider the loss of opportunity for “striving and succeeding” that AI is likely to bring.
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A robotic prosthetic arm with visible internal mechanisms, wires, and a mechanical hand. Labels such as "SFU" and "BESOM" are visible on the arm casing.
In the international competition, people with physical disabilities put state-of-the-art devices to the test as they race to complete the tasks of everyday life.
A white lab mouse sits in a glass petri dish, cradled gently by hands clad in blue gloves. The captivating scene underscores the crucial role of lab mice in scientific research and discovery.
Can laboratories become more humane, or is it time to end animal research altogether?
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Cal Newport explains how you and your teams can accomplish more while improving quality and supercharging workplace morale.
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A crowdsourced "final exam" for AI promises to test LLMs like never before. Here's how the idea, and its implementation, dooms us to fail.
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Philosopher Peter Singer argues it's time to examine a morally dubious practice.
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