Emily Kaplan
Emily Kaplan is an expert in strategy and communication. As the CEO and Co-founder of The Broken Science Initiative, she is building a platform to educate people on the systemic failings in science, education and health while offering an alternative approach based in probability theory. As the principal at The Kleio Group, Emily works with high profile companies, celebrities, entrepreneurs, politicians and scientists who face strategic communication challenges or find themselves in a crisis.
Emily’s work as a business leader includes time spent working with large Arab conglomerates in the GCC region of the Middle East looking to partner with American interests. Emily acquired Prep Cosmetics, expanded it to become a national chain and revolutionized the way women bought beauty products by offering novel online shopping experiences, which are now the industry standard. She was a partner in a dating app that used the new technology of geolocation to help interested parties meet up in real life. Emily developed Prime Fitness and Nutrition, a women’s health concept that focused on the fitness and diet needs of women as they age, with three physical locations. She was the host of the Empowered Health Podcast, and wrote a column in Boston Magazine by the same name, both of which focused on sex differences in medicine.
Emily is an award winning journalist who has written for national newspapers, magazines and produced for ABC News’ 20/20, Primetime and Good Morning America. She is the author of two business advice books published by HarperCollins Leadership. Emily studied Advanced Negotiation and Mediation at Harvard Law School. She has a Masters of Science from Northwestern University and received a BA in history and psychology from Smith College.
BSI Co-Founder and CEO Emily Kaplan was interviewed by Dr. Ken Berry. During the livestream, the two discussed diabetes, misleading health studies, and issues with medical journalism.
By Emily Kaplan
Co-founder and CEO of The Broken Science Initiative, Emily Kaplan, went onto the B FIT Podcast with Connor Murphy discussing the fundamentals of BSI.
By Emily Kaplan
In this video Emily explains the difference between a Bayesian approach and a frequentist approach to analyzing statistics. A Bayesian analysis looks at prior probabilities combined with data to determine the probability that the hypothesis is true. A frequentist analysis compares the hypothesis to the null-hypothesis, a yes/no approach, to determine if the data could support the null-hypothesis. It then ranks the data with a P-value, but it actually says nothing about the hypothesis being true.
By Emily Kaplan
Simply put, a p-value is a measure of the likelihood that the results of a study are due to the hypothesis, and not simply a result of chance. It compares the “null hypothesis,” the idea that the thing being studied has no effect, vs the “alternative hypothesis,” the thing being tested. So if the p-value is low, the data is thought to be significant. However, the p-value does not validate the effectiveness of the thing being studied, it simply claims to shows that the results were not due to chance.
Frighteningly, scientists, researchers, and medical professionals misinterpret the meaning of p-values but place extreme faith in them.
By Emily Kaplan
