Failures to reproduce studies...statisticians say it's not their fault

To use statistics well, researchers must study how scientists analyse and interpret data and then apply that information to prevent cognitive mistakes. In the past couple of decades, many fields have shifted from data sets with a dozen measurements to data sets with millions. Methods that were developed for a world with sparse and hard-to-collect information have been jury-rigged to handle bigger, more-diverse and more-complex data sets. No wonder the literature is now full of papers that use outdated statistics, misapply statistical tests and misinterpret results.