  It is widely known that Google Trends have become one of the most popular
free tools used by forecasters both in academics and in the private and public
sectors. There are many papers, from several different fields, concluding that
Google Trends improve forecasts' accuracy. However, what seems to be widely
unknown, is that each sample of Google search data is different from the other,
even if you set the same search term, data and location. This means that it is
possible to find arbitrary conclusions merely by chance. This paper aims to
show why and when it can become a problem and how to overcome this obstacle.
