continue_of_harm

gistfile1.txt

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

fig, ax = plt.subplots(4, 1, figsize=(10, 12), sharex=True, sharey=True)
plt.xkcd()
x = np.linspace(-10, 10, 1001)
np.random.seed(43)

ax[0].set_title("How People Think Laws Work")
ax[0].plot(x[x<0], x[x<0]*0)
ax[0].plot(x[x>0], x[x>0]/x[x>0], color='darkred')
ax[0].vlines(0, -0.2, 1.2)
ax[0].annotate('hard boundary', 
               xy=(-0.1, 0.5), 
               xytext=(-6, 0.75),
                arrowprops=dict(facecolor='black', shrink=0.05))


ax[1].set_title("How Laws Work Generally")
ax[1].plot(x, 1/(1+np.exp(-x)), color='purple')
lines = np.random.randn(25)
max_l = lines.max()
for r in lines:
    ax[1].vlines(0+r, -0.2, 1.2, alpha=0.1)
    
ax[1].annotate('fuzzy boundary', 
               xy=(0, 0.5), 
               xytext=(-6, 0.75),
                arrowprops=dict(facecolor='black', shrink=0.05))
plt.ylabel("Continuum of Harm")
plt.xlabel("Continuum of 'Don't do that'")


ax[2].set_title("How Laws Work For Rich People")
ax[2].plot(x, 1/(1+np.exp(-x)), color='purple')
for r in lines:
    ax[2].vlines(0+r, -0.2, 1.2, alpha=0.1)
    
ax[2].vlines(0+max_l, -0.2, 1.2, alpha=1)
ax[2].annotate('pick your boundary', 
               xy=(max_l, 0.7), 
               xytext=(5, 0.25),
                arrowprops=dict(facecolor='black', shrink=0.05))


ax[3].set_title("How Laws Work For Poor, Black People")
ax[3].plot(x, 1/(1+np.exp(-x)), color='purple')
for r in lines:
    ax[3].vlines(0+r, -0.2, 1.2, alpha=0.1)
    
ax[3].vlines(0+lines.min(), -0.2, 1.2, alpha=1)
ax[3].annotate("racism", 
               xy=(lines.min(), 0.7), 
               xytext=(-5, 0.25),
                arrowprops=dict(facecolor='black', shrink=0.05))

for i in range(4):
    ax[i].spines['right'].set_color('none')
    ax[i].spines['top'].set_color('none')
    ax[i].set_ylabel("Continuum of Social Harm")
    ax[i].set_xlabel("Continuum of 'You should not and cannot do that!'")

    plt.xticks([])
    plt.yticks([])
plt.tight_layout()
plt.savefig("law.png")