ADDED link to alternative YouTube posting without regional restrictions.
The 2019 documentary American Heretics: The Politics of the Gospel focuses on unorthodox Christians in Tulsa, Oklahoma, where TSZ contributor Jonathan Bartlett lives, and in Oklahoma City, where I live. The most prominent of the subjects are two ministers of the United Church of Christ, Robin Meyers (author of Why the Christian Right Is Wrong and Saving Jesus from the Church), and Carlton Pearson (a black protege of Oral Roberts who went on to great success as a televangelist). They both accepted, earlier in life, the orthodox doctrine that the unsaved will suffer eternal damnation, but ultimately repudiated it.
The documentary has gotten favorable reviews in major newspapers, including The New York Times, but I have to say that it is somewhat slow and diffuse. The filmmakers clearly did not capture as much good footage as they needed for a feature-length release. However, the good footage is quite good, and many of you will be interested in what it reveals of religion and politics in the U.S. today. Note that YouTube provides options for increased playback speed and for captioning.
ETA: Thanks to Dazz for locating the YouTube posting above. Note that the documentary is followed by discussion that I have not reviewed. (The posting I originally linked to is not accessible from all regions of the world.)
 
			 consecutive days of work and
 consecutive days of work and  consecutive days of lockdown. Although I am reluctant to add to the cacophony of inexpert opinions on how to deal with the pandemic, I will say that the strategy obviously works in an epidemiologic sense if the number of workdays per two-week cycle is sufficiently small. Furthermore, it is obvious that the number of workdays can be adjusted in response to the number of new cases. However, it is not obvious that
 consecutive days of lockdown. Although I am reluctant to add to the cacophony of inexpert opinions on how to deal with the pandemic, I will say that the strategy obviously works in an epidemiologic sense if the number of workdays per two-week cycle is sufficiently small. Furthermore, it is obvious that the number of workdays can be adjusted in response to the number of new cases. However, it is not obvious that  preprint “
 preprint “ is likely to be sufficiently small. In other words, it seems that people might work half-time (
 is likely to be sufficiently small. In other words, it seems that people might work half-time ( hours per two-week period) while driving the number of new cases toward zero. I am not qualified to judge epidemiological models, but will note that the results make sense if it is indeed the case that there is a “
 hours per two-week period) while driving the number of new cases toward zero. I am not qualified to judge epidemiological models, but will note that the results make sense if it is indeed the case that there is a “![Rendered by QuickLaTeX.com \[ASC(x, C, p) = -\!\log_2 p(x) - K(x|C), \]](http://theskepticalzone.com/wp/wp-content/ql-cache/quicklatex.com-7dfacda027e19c5d5c99934d84584ec9_l3.png)
 in place of
 in place of  ?
? and
 and  is the length of the shortest program that outputs
 is the length of the shortest program that outputs  Of course, the measure must be the same for both strings. Otherwise it would be absurd to speak of (non-)conservation of a quantity of algorithmic specified complexity.
 Of course, the measure must be the same for both strings. Otherwise it would be absurd to speak of (non-)conservation of a quantity of algorithmic specified complexity. of a binary string
 of a binary string  The particular data processing that I considered was erasure: on input of any binary string
 The particular data processing that I considered was erasure: on input of any binary string  the output
 the output  is the empty string. I chose erasure because it rather obviously does not make data more meaningful. However, part of the definition of ASC is an assignment of probabilities to all binary strings. The ASC of a binary string is infinite if and only if its probability is zero. If the empty string is assigned probability zero, and all other binary strings are assigned probabilities greater than zero, then the erasure of a nonempty binary string results in an infinite increase in ASC. In simplified notation, the growth in ASC is
 is the empty string. I chose erasure because it rather obviously does not make data more meaningful. However, part of the definition of ASC is an assignment of probabilities to all binary strings. The ASC of a binary string is infinite if and only if its probability is zero. If the empty string is assigned probability zero, and all other binary strings are assigned probabilities greater than zero, then the erasure of a nonempty binary string results in an infinite increase in ASC. In simplified notation, the growth in ASC is![Rendered by QuickLaTeX.com \[A(\mathtt{erased}(x)) - A(x) = \underbrace{A(\lambda)}_\text{infinite} - \underbrace{A(x)}_\text{finite} = \infty\]](http://theskepticalzone.com/wp/wp-content/ql-cache/quicklatex.com-7b55382b9d39e171c24a47acf90f39c3_l3.png)



 It’s a miracle!
 It’s a miracle!