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→An X for a Y, for an L, for a C
#X is defined as number of liberals, and Y is defined as number of conservatives. X/(X+Y) is '''the same''' as L/(L+C). The article argues that they are different, proving that the author doesn't know how to work with variables. And it proves that the author doesn't read his own definitions.
#X is defined as number of liberals, and Y is defined as number of conservatives. X/(X+Y) is '''the same''' as L/(L+C). The article argues that they are different, proving that the author doesn't know how to work with variables. And it proves that the author doesn't read his own definitions.
#The criticism that a measure is between 0 and 1, shows that the critic doesn't know that such a measure is equivalent to a measure that ranges between 0 and infinity. Take for example the negative logarithm of the first measure. It just show that the author has not the faintest idea about continuous functions.
#The criticism that a measure is between 0 and 1, shows that the critic doesn't know that such a measure is equivalent to a measure that ranges between 0 and infinity. Take for example the negative logarithm of the first measure. It just show that the author has not the faintest idea about functions over an infinite domain.
#The remark that an increase from 90% to 99% is ''just'' a 10% increase, shows that the author doesn't know how to interpreter percentages. People who do work with percentages, know the difference between 90% and 99% is an order of magnitude.
#The remark that an increase from 90% to 99% is ''just'' a 10% increase, shows that the author doesn't know how to interpreter percentages. People who do work with percentages, know the difference between 90% and 99% is an order of magnitude.
#The comparison with other metrics is flawed, because the author didn't compare it with any metric that is actually used in literature. Earlier versions of this article pointed to alternative definitions of liberal bias. None of them is mentioned.
#The comparison with other metrics is flawed, because the author didn't compare it with any metric that is actually used in literature. Earlier versions of this article pointed to alternative definitions of liberal bias. None of them is mentioned.