NaClhv

Theology, philosophy, math, science, and random other things
                                                                                                                                                                                                                                                                  
2017-08-28
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A record of the total solar eclipse

These are some of the pictures I took during the eclipse trip. Venus, in the morning of Sunday, August 20th, the day before the total eclipse of the sun. This is unrelated to the eclipse, but the Morning Star is always a treat. Note how it's bright enough to be the only star in the sky […]
2017-08-17
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Reflections on the upcoming solar eclipse

I'm releasing this post a few days earlier than usual, as I'll be on the road trip for this eclipse at the regularly scheduled posting time. Also, this post has been cross-posted on my church's blog. God will do something great and marvelous on August 21, 2017: there will be a total eclipse of the […]

Bayesian evaluation for the likelihood of Christ's resurrection

This is still a work in progress. It will change as I continue to add and edit the content. I consider this to be in its "third draft" form. It will take some more time to complete, and it may be messy in the meantime. A version of this post as it appeared on Easter […]
2017-02-06
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Bayesian evaluation for the likelihood of Christ's resurrection (Part 43)

This is another Jupyter notebook. It contains python code that generates the probabilities of a "skeptic's distribution" generating a Jesus-level resurrection report. First, we import some modules: In [1]: import numpy as np import pandas as pd from scipy.stats import lognorm, genpareto We then write a function to simulate getting the maximum value out of n […]
2017-01-09
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Bayesian evaluation for the likelihood of Christ's resurrection (Part 39)

This is a jupyter notebook. It contains the python code which generates the relationship between the number of "outliers" (as previously defined) and the probability of naturalistically generating a Jesus-level resurrection report. resurrection_calculation First, we import some modules: In [1]: %matplotlib inline import numpy as np import pandas as pd from scipy.stats import genpareto Next, we […]

Questions and answers: my career change to data science

I've been working as a data scientist for some time now. This is a change for me. My background is in physics, and my previous work was mostly in education, teaching in the STEM fields. So this is an exciting period in my life. Career changes often are, and data science in particular is an […]

Questions and answers: my career change to data science (Part 2)

(continued from the previous post) 4) What are the best and worst parts of the job? My favorite part of the job is probably something that I've mentioned above - the idea that I'm sharpening my data interpretation skills, that my job is basically to think soundly about data. It's also great to see my […]

Questions and answers: my career change to data science (Part 1)

I've been working as a data scientist for some time now. My background is in physics, and my previous work was mostly in education, teaching in the STEM fields. This is an exciting period in my life. Career changes often are, and data science in particular has been called "the sexiest job of the 21st […]

How to think about the future

This post is a consolidation of a whole series of posts into one post. It's fairly long. Click on the following entries in the table of contents below to jump directly there: The future is completely unpredictable No, really, the future is COMPLETELY unpredictable The future will be like the past, and therefore "predictable" The […]
2015-11-09
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How to think about the future (Part 3)

It's easy to predict the future. It'll be basically like the past. How could that be? Isn't everything changing all the time? Are we not living in an era of unprecedented growth and technological advancement? Isn't the world not only changing, but changing faster and faster? I mean, just look at the graph of the […]
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