The matching method test statistic in statistics has very low power and is not very useful for detecting associations between variables. This is because it is deficient and inefficient in its parameter estimation. The researchers showed this by analyzing the distribution of the test statistic and its correlation with other statistics. They also found a way to use this deficiency to understand sampling errors in estimating correlations.