The skirt length theory is one of the most iconic and important spurious correlations in history. There was a general belief that shorter the lengths of the skirts worn by women, better the stock market trends.
In statistics, a spurious correlation (also known as spuriousness) refers to a connection between two variables that appears to be causal but is not. With spurious correlation, any observed dependencies between variables are merely due to chance or are both related to some unseen confounding factor...
Despite a long and rich history of remonstrations in the literature, several very recent publications evaluating Hg-related BAFs have suffered from false conclusions based on spurious correlation, and thus it seems that periodic reminders of the causes and risks of these errors are required. Herein...
The skirt length theory is one of the most iconic and important spurious correlations in history. There was a general belief that shorter the lengths of the skirts worn by women, better the stock market trends. What is the connection, if I may ask? Absolutely nothing. Astoundingly though, t...
According to the definition, it is possible to use one velocity component in the estimation of another, i.e., using a cross-correlation—this term is often weaker than a correlation with the same velocity component—therefore the estimations should when possible be calculated for each required ve...
--remove-cheat: remove cheated examples during training. Evaluation on HANS --test-split <HANS-split>: for HANS, the valid splits arelexical_overlap,subsequence,constituent. --additive-mode last: only used the debiased model for testing. For models trained by MLE, this option has no effect...
There are viral examples of teens using AI to launch apps with multi-million dollar revenues. The more specific the prompt, the better the AI’s output—clarity is key. Business tasks like running scenarios, correlations, and planning can be done instantly with AI. There’s huge potential ...