Brian Keegan brianckeegan

Note

Going to move development to this repo to make PRs easier to manage: https://github.com/brianckeegan/Post_2024_News

Post-2024 news

Mainstream media failed to hold Trump to account over the course of the 2024 presidential campaign through "view from nowhere" centrism and false equivalencies between both campaigns.

Here is a list of news organizations, newsletters, and writers that are audience-funded and/or non-profits committed to independent and investigative journalism.

Rules

No centrist contrarians or right-wing authors

	#!/usr/bin/python2


	# Copyright (C) 2016 Sixten Bergman
	# License WTFPL
	#
	# This program is free software. It comes without any warranty, to the extent
	# permitted by applicable law.
	# You can redistribute it and/or modify it under the terms of the Do What The
	# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

	doInstall <- TRUE
	toInstall <- c("ggplot2")
	if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
	lapply(toInstall, library, character.only = TRUE)

	ANES <- read.csv("http://www.oberlin.edu/faculty/cdesante/assets/downloads/ANES.csv")
	ANES <- ANES[ANES$year == 2008, -c(1, 11, 17)] # Limit to just 2008 respondents,
	head(ANES) # remove some non-helpful variables

	# Fit several models with the same DV:

	import colorsys
	import numpy as np
	import matplotlib.pyplot as plt
	import seaborn as sns
	%matplotlib inline

	def alter(alist, col, factor=1.1):
	tmp = np.array(alist)
	tmp[:,col] = tmp[:,col] * factor
	tmp[tmp > 1] = 1

	import matplotlib.pyplot as plt
	import numpy as np
	import sklearn.linear_model

	from mpl_toolkits.mplot3d import Axes3D

	X_train = np.random.rand(2000).reshape(1000,2)*60
	y_train = (X_train[:, 0]2)+(X_train[:, 1]2)
	X_test = np.random.rand(200).reshape(100,2)*60
	y_test = (X_test[:, 0]2)+(X_test[:, 1]2)

	// Tableau 10 color theme
	$themes: (
	blue: #5778a4,
	orange: #e49444,
	red: #d1615d,
	teal: #85b6b2,
	green: #6a9f58,
	yellow: #e7ca60,
	purple: #a87c9f,
	pink: #f1a2a9,