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How do you know what to believe online?
In this re-run episode of Remarkable People, Guy Kawasaki talks with Mike Caulfield, research scientist at the University of Washington’s Center for an Informed Public, about the SIFT method—a practical framework for evaluating online information.
Mike explains how to stop, investigate sources, find trusted coverage, and trace claims back to their origins, drawing from his book Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online.
We’re revisiting this conversation because its insights are just as relevant today, offering clear, actionable tools to help you navigate misinformation and become a more discerning consumer of digital content.
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Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable.
With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People.
Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable.
Episodes of Remarkable People organized by topic: https://bit.ly/rptopology
Listen to Remarkable People here: **https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827**
Like this show? Please leave us a review -- even one sentence helps! Consider including your Twitter handle so we can thank you personally!
Thank you for your support; it helps the show!
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
By Guy Kawasaki4.5
636636 ratings
How do you know what to believe online?
In this re-run episode of Remarkable People, Guy Kawasaki talks with Mike Caulfield, research scientist at the University of Washington’s Center for an Informed Public, about the SIFT method—a practical framework for evaluating online information.
Mike explains how to stop, investigate sources, find trusted coverage, and trace claims back to their origins, drawing from his book Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online.
We’re revisiting this conversation because its insights are just as relevant today, offering clear, actionable tools to help you navigate misinformation and become a more discerning consumer of digital content.
---
Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable.
With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People.
Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable.
Episodes of Remarkable People organized by topic: https://bit.ly/rptopology
Listen to Remarkable People here: **https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827**
Like this show? Please leave us a review -- even one sentence helps! Consider including your Twitter handle so we can thank you personally!
Thank you for your support; it helps the show!
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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