# The Trouble With Our Liberal Friends …

The trouble with our Liberal friends is not that they’re ignorant; it’s just that they know so much that isn’t so.

Ronald Reagan

Every time I post a graph like this, some geniuses weigh in and say – of course the number of records go down – because it becomes harder to beat the old records.

This is a typical response.

Here is the algorithm. It makes no difference if you run it forwards, backwards or randomly. The graph gets the same results. There is no time bias.

```RECORD_TMAX = 0
RECORD_LIST = []
for year in range(1895, 2016) :
if (TMAX[year] >  RECORD_TMAX ) :
# New record becomes the only entry in the record list.
# All prior holders are cleared
RECORD_LIST = [year]
RECORD_TMAX = TMAX[year]
elif (TMAX[year] ==  RECORD_TMAX ) :
# Ties are added to the record list
RECORD_LIST.append(year)
```

If the world was warming, the graph would be mirrored and the number of records would be increasing. Enough fake excuses! Here is an actual test of the algorithm.

```import random

YEAR = []
RECORD_COUNT = []
for year in range(0, 100) :
YEAR.append(year)
RECORD_COUNT.append(0)

for day in range(1, 366) :
TMAX = random.sample(range(0, 200), 100)
RECORD_TMAX = 0
RECORD_LIST = []
for year in range(0, 100) :
if (TMAX[year] >  RECORD_TMAX ) :
# New record becomes the only entry in the record list.
# All prior holders are cleared
RECORD_LIST = [year]
RECORD_TMAX = TMAX[year]
elif (TMAX[year] ==  RECORD_TMAX ) :
# Ties are added to the record list
RECORD_LIST.append(year)

for record in RECORD_LIST :
RECORD_COUNT[record] += 1

import matplotlib.pyplot as plt
plt.plot(YEAR, RECORD_COUNT, "ro")
plt.axis([0, 100, 0, 15])
plt.show()
```