When confronted with bits of information about any situation, it is normal to reach to conclusions immediately. But such conclusions may often be wrong. Instead it is better to train our brain to reach to a conclusion only after acknowledging that our comprehension might be wrong or incomplete, and that it needs to be confirmed by relevant tests. Such tests can lead to conclusions that we were not prepared for. This kind of learning which is our way forward through scientific thinking, needs Kata. Listen to know more!

Happy New Year!!!! As always, our podcast begins the year by showing gratitude to the past year, to all our invisible allies on the first episode of every New Year

It is always best to have them as a part in the decision making process who are most likely to be impacted by the decision. Have you been part of any community decisions? Big or small? How did this help you and your community? What were the hurdles that you had to overcome in this process? Pour in your thoughts and inspire others.

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Today we discuss about errors that can lead to misinterpretation of data and how important it is, to be able to distinguish between the false positives and negatives. Have a great Sunday.

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Faced with tough decisions everyday? Very normal. Today we dive into the hurdles that we face in making effective decisions, and what can be done to sprint high enough over these hurdles. Hope you enjoy this episode.

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Undermining science with denial or pursuing skeptical engagement with the findings of science, both share a reluctance to accept conclusions. Which one of these is healthy? Let´s find out!

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Being science-shy is not new. Science is being misrepresented as a bundle of facts rather than a joy of discovery. Changing the attitude of the public toward science is essential. Hope you like our attempt to help you stay science savvy.

As an effort to boost up the scientific thinking in all, a toolkit is rolled out by the Nobel Prize committee, in association with University of California, Berkeley. This toolkit has been developed under the leadership of Saul Perlmutter, 2011 Nobel Prize laureate in physics. Evidence and Iteration is part of this toolkit. Our episode today takes inspiration from this effort.