In this episode, David (the Graceful Atheist and I explore how Bayes theorem can structure our thinking. We bounce ideas off each other, talk about injecting information into arguments, and …
In this episode, David (the Graceful Atheist and I explore how Bayes theorem can structure our thinking. We bounce ideas off each other, talk about injecting information into arguments, and …
In this episode, Andrew and Matthew invite me back to talk about Bayes, what it is and how to apply it. We explore the structure of Bayes, when it can …
Matthew hosts a conversation between myself and Jonathan McLatchie to further the conversation on why Jonathan is confident that the resurrection of Jesus can be accepted as an historical event …
In this episode I discuss my approach to teaching statistical inference including taking the Bayesian approach first instead of delegating it to an advanced or elective topic. We talk about …
In this episode, Andrew and Matthew invite myself and Prof. Philip Goff to discuss Panpsychism. What is it, why should we take it seriously and can we test it? I …
In this discussion/debate, I talk with Travis Dickinson about the concept of faith. Travis is the author of "Stand Firm: Apologetics and the Brilliance of the Gospel" and says …
In this episode I join Andrew and Matthew to discuss The Fine Tuning Argument, The Second Law of Thermodynamics, contingency, evidence for the Christian claim of a historical resurrection of …
This video is part of the Bryant Faculty Spotlight series. In this episode I speaks about his book Statistical Inference for Everyone, an open textbook that approaches introductory statistical inference …
Here I present how our cognitive biases -- confirmation bias, innumeracy, either-or bias -- can lead to significant problems, but also can be solved with the proper use of probability theory. Essentially …
I'd like to walk through some of the "Statistics 101" examples (e.g. estimating \(\mu\) with known \(\sigma\), estimating a proportion, etc...) for which we have simple analytical solutions, but …
What would happen if two people out in space a few meters apart, abandoned by their spacecraft, decided to wait until gravity pulled them together? My initial thought was that …
A while ago I wrote this little package called pyndamics which was a thin wrapper around the scipy odeint function. Since then I migrated it using nbdev to experiment with …
In this episode, David (the Graceful Atheist and I explore how Bayes theorem can structure our thinking. We bounce ideas off each other, talk about injecting information into arguments, and …
A physics problem from a practice AP test came to my attention, when my daughter was in AP physics this past spring. I went over her solutions when she did …
In my discussion with Jonathan McLatchie on the Still Unbelievable podcast, I said that there hasn’t been a verified miracle claim even since Hume’s essay on miracles. Here I look into the papers he references in response.
Pelican is a Python package for developing static websites. I started out my blog with Wordpress and then toyed with Wix and Weebly. But I found I didn't like the …
In this episode, Andrew and Matthew invite me back to talk about Bayes, what it is and how to apply it. We explore the structure of Bayes, when it can …
Matthew hosts a conversation between myself and Jonathan McLatchie to further the conversation on why Jonathan is confident that the resurrection of Jesus can be accepted as an historical event …
In this episode I discuss my approach to teaching statistical inference including taking the Bayesian approach first instead of delegating it to an advanced or elective topic. We talk about …
I find that a common pattern I implement again and again in Python is to build up a list (or multiple lists) in a loop and turn them into arrays …
In this episode, Andrew and Matthew invite myself and Prof. Philip Goff to discuss Panpsychism. What is it, why should we take it seriously and can we test it? I …
I am a Scientist, Skeptic, and Professor at Bryant University and the IBNS, Brown University. My goal is to make technical subject matters widely accessible and to use my analytical and computational skills to assist anyone with their science-related problems.
