One of the more common phrases in economic statistics is "seasonally adjusted." On the face of it, it appears to make some sense, trying to remove the rhythms of the calendar from the picture of the economy one is trying to create. However, it might be best not to adjust these numbers at all.
Seasonal adjustments figure largely into areas such as employment data. In the summer, when young people are not in school and so may be seeking work, there is an increase in the supply of labor, but when classes start again, the extra workers vanish into lecture halls and seminars. To gain a better understanding of the situation of year-round workers, economists remove the students from the equations, adjusting the number to account for the seasonal change in the labor market.
However, to a person who is looking for work in May, those extra jobseekers are extremely real. They reduce the chances of finding work for the less skilled, and they reduce the rates for those same people who do have employment. Longer term, they may not affect things, but for the 3 months they are around, making ends meet is harder for the working poor in a very real and painful way.
Changing the figures in economics is less a problem than it is in the natural sciences because there is less agreement on what the numbers are and what they mean in the first place. But when the statistics are seasonally adjusted, it makes better policy if the decision-makers know how that alteration directly affects people's lives.