ASAT
Frontier Safety
Um.
Hello and welcome back to video games. I'm Tim Rogers. You are watching the Action Button review of DOOM — a video game developed by id Software and published for the Microsoft Disk Operating System on December 3rd, 1993; the Sega 32X and Atari Jaguar in 1994; the Super Nintendo Entertainment System and the Sony PlayStation in 1995; the Panasonic 3DO in 1996; the Sega Saturn in 1997; the Acorn Archimedes in 1998; the Nintendo Game Boy Advance in 1999; the Microsoft Xbox 360 in 2006; Apple iOS in 2009; the Microsoft Xbox 360 again in 2012; and on the Nintendo Switch, the Sony PlayStation 4, and the Microsoft Xbox One in 2019.
Updated with a fourth episode, "Thy Flesh Consumed," in The Ultimate DOOM — released for Microsoft personal computers on April 30th, 1995 — and by John Romero with a fifth episode, SIGIL, released for personal computers on May 22nd, 2019. Created by John Carmack, John Romero, Adrian Carmack, Kevin Cloud, and Tom Hall, with
| library(matlib) | |
| gamma <- 2 | |
| rho11 <- 1.15 | |
| rho22 <- 0.05 | |
| mu1 <- 0.3 | |
| r <- 0.05 | |
| delta <- 0.05 | |
| x <- rnorm(1000000) |
| https://twitter.com/g_leech_/status/1728731355029393447?t=VN50RyPqwWFfcC63tMP_ng&s=19 | |
| https://twitter.com/g_leech_/status/1723630099507871780?t=YFYUi0eNkkLXOzzmbMtoGA&s=19 | |
| https://twitter.com/g_leech_/status/1623044128190697483 | |
| https://twitter.com/g_leech_/status/1639725932448456705 | |
| https://twitter.com/g_leech_/status/1630276985963556865 | |
| https://twitter.com/g_leech_/status/1622321776595189765 | |
| https://twitter.com/g_leech_/status/1668960035068694533 | |
| https://twitter.com/g_leech_/status/1715654603973312949 | |
| https://twitter.com/g_leech_/status/1713930232632135986 | |
| https://twitter.com/g_leech_/status/1711441986878644597 |
| import numpy as np | |
| import gjp | |
| # https://github.com/niplav/iqisa/blob/master/iqisa.py | |
| import iqisa as iqs | |
| import matplotlib.pyplot as plt | |
| df=gjp.load_markets() | |
| df["isCorrect"] = (df.outcome == df.answer_option).astype(float) | |
| fig = plt.figure(figsize=(9, 9)) |
| # You can get your own copy of the MCMC trace: https://github.com/g-leech/masks_v_mandates#run | |
| # but I've included the quantiles in this script for reproducibility. | |
| import numpy as np | |
| sns.set_style("whitegrid") | |
| def exp_reduction(a, x): | |
| reductions = 1 - np.exp((-1.0) * a * x) | |
| return reductions.mean() |
| import numpy as np | |
| # impossible 0 | |
| # v unlik 10 | |
| # unlik 25 | |
| # lik 75 | |
| # vv likely 99.5 | |
| preds = [ | |
| [0, 1], | |
| [0.75, 1], |
| #!/usr/bin/env python | |
| # coding: utf-8 | |
| # ## Excess COVID-19 mortality vs reported deaths over time | |
| # | |
| # split bar? | |
| # | |
| # y-axis: deaths | |
| # x-axis: time | |
| # |