  Weather affects our mood and behaviors, and many aspects of our life. When it
is sunny, most people become happier; but when it rains, some people get
depressed. Despite this evidence and the abundance of data, weather has mostly
been overlooked in the machine learning and data science research. This work
presents a causal analysis of how weather affects TV watching patterns. We show
that some weather attributes, such as pressure and precipitation, cause major
changes in TV watching patterns. To the best of our knowledge, this is the
first large-scale causal study of the impact of weather on TV watching
patterns.
