cover of episode A Numbers Game: With Guests Linda Chang & Stephen M. Colbert

A Numbers Game: With Guests Linda Chang & Stephen M. Colbert

2025/3/24
logo of podcast Choiceology with Katy Milkman

Choiceology with Katy Milkman

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Stephen M. Colbert: 我是电影行业的评论员,我密切关注超级英雄电影。好莱坞电影的制作和评价中,数字扮演着重要的角色,例如烂番茄评分、票房收入等。但是,数字并不能完全反映电影的真实情况,例如烂番茄评分只反映了评论的正面比例,而忽略了评论内容的细微差别,这可能会导致对电影评价的不准确。低烂番茄评分被认为是《蝙蝠侠大战超人》票房不及预期的原因,但这忽略了其他可能的影响因素。创意选择和商业选择之间存在脱节,仅仅依靠数字来做决策可能会忽略电影的艺术价值。 Linda Chang: 量化固定是指人们在面临需要权衡取舍的决策时,会过度重视数字信息,而忽略其他形式的信息。在求职过程中,人们往往会过度关注薪资和带薪休假等数字化的信息,而忽略公司文化和工作内容等更重要的方面。在选择医疗保险、雨衣或露营装备等方面,人们也容易受到量化固定的影响,过度关注数字信息而忽略其他重要信息。在选择酒店或慈善机构时,人们会更倾向于选择在数字维度上更具吸引力的选项,即使其他方面可能更重要。量化固定的原因之一是比较流畅性,即人们更容易对数字进行比较。为了避免量化固定的影响,人们应该在做决策之前,仔细考虑哪些因素最重要,并对所有信息进行统一的评估。 Katy Milkman: 人们会过度重视量化维度,即使他们可以通过不同的方式获得相同的信息。为了避免量化固定的影响,人们应该提前计划,并对所有信息进行统一的处理。

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Workplaces often rely on numerical ratings for performance reviews. Election debates focus on poll numbers and approval ratings. Your watch counts your steps in a day. Numbers increasingly influence our decisions.

In this episode of *Choiceology with *Katy Milkman), we look at our very human tendency to fixate on digits even when words or graphs represent the very same information. 

Stephen M. Colbert) writes about movies and the film industry and shares the heated story of when the DC Extended Universe came up against some unfavorable Rotten Tomatoes scores. You'll hear about a battle of wills between a famous director, some powerful studio executives, and a legion of fans, proving that numbers don't tell the whole story. 

Next, Katy speaks with Linda Chang), a behavioral scientist at the Toyota Research Institute and former MindCORE post-doctoral research fellow at the University of Pennsylvania. Katy and Linda, together with University of Chicago Professor Erika Kirgios) and MIT Professor Sendhil Mullainathan), worked on the paper "Does Counting Change What Counts? Quantification Fixation Biases Decision-Making)."

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All corporate names and market data shown above are for illustrative purposes only and are not a recommendation, offer to sell, or a solicitation of an offer to buy any security. Supporting documentation for any claims or statistical information is available upon request.

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The book How to Change: The Science of Getting from Where You Are to Where You Want to Be is not affiliated with, sponsored by, or endorsed by Charles Schwab & Co., Inc. (CS&Co.). Charles Schwab & Co., Inc. (CS&Co.) has not reviewed the book and makes no representations about its content.

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