Books
Books that I have written.
Books that I have written.
Podcasts and Videos in which I have appeared or which I have created.
Dynamical systems simulation in Python. Includes both continuous and stochastic simulation.
An introductory stats book from a Bayesian perspective, including Python software.
I was recently reading some articles about dubious medical procedures, and the claims of miraculous healings. I was struck by a level of credulity with some of these claims, but …
#science
In this YouTube episode, Bad Apologetics Ep 18 - Bayes Machine goes BRRRRRRRRR I join Nathan Ormond, Kamil Gregor, and James Fodor to discuss Timothy and Lydia McGrew's article in The …
#religion
Here I summarize the (9 hour!) conversation that I was a part of here: Bad Apologetics Ep 20 - Miracles & even MORE even NEWER Resurrection evidence where we respond to the …
#media
In this week's Unbelievable Podcast the topic was miracles. I've written about miracles a number of times, but there always seems to something new to say. In this episode, the …
#religion
A particular response has now happened twice in an ongoing discussion about extraordinary claims, and I felt I needed to think about it more deeply. The response is, essentially, that …
#religion
I'd like to thank Jonathan McLatchie for the detailed response to my two-part response.
If you're following along, we have:
#religion
In the Unbelievable podcast episode Do extraordinary claims require extraordinary evidence? Jonathan McLatchie vs Jonathan Pearce I was struck by several claims and points, especially made by Jonathan McLatchie. I …
#religion
In the Unbelievable podcast episode Do extraordinary claims require extraordinary evidence? Jonathan McLatchie vs Jonathan Pearce I was struck by several claims and points, especially made by Jonathan McLatchie. I …
#religion
As an exercise, I like to reproduce computational papers, but with my own tools. This let's me know that I understand completely what is being written and in many cases …
#science
In this post we are going to explore the simulation of stochastic (i.e. random) processes, and work our way to understanding how the Gillespie algorithm works. We'll be using …
#science
In my post about "naturalism of the gaps" I stated that in evaluating claims,
- Methodological naturalism is the only choice we have available, because no one has demonstrated any procedure …
#religion
In this YouTube episode, Bad Apologetics Ep 18 - Bayes Machine goes BRRRRRRRRR I join Nathan Ormond, Kamil Gregor, and James Fodor to discuss Timothy and Lydia McGrew's article in The …
#media
This is another in the series of "Statistics 101" examples solved with MCMC. Others in the series:
#math
The Mac/iPhone Books app has some issues. Before switching the content out of iTunes into a separate app, audiobooks were housed in the same app as music. You could …
#programming
This is another in the series of "Statistics 101" examples solved with MCMC. Others in the series:
In all of …
#math
This is another in the series of "Statistics 101" examples solved with MCMC. The previous in the series can be found here. In all of these posts I'm going to …
#math
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 …
#math
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 …
#science
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 …
#programming
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 …
#media
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 …
#science