With 8 billion people alive I refuse to believe there is any statistical difference between days of the year. For example according to this infographic my birthday is one of the most common but the days before and after are not?
The color scale is terrible. Here is a more credible chart based on presumably the same data by Social Security Administration, covering 62,187,024 US births (2000-2014).
Meanwhile, the post’s chart’s actual Reddit OOP is u/plotset, an account made to shill PlotSet.com, a data visualization software.
They had this to say about the data:
This data represents 4,153,303 US-born babies only between 2000 and 2014.
Top 10 Most Common: Sep 12 (0.307%) Sep 19 (0.306%), Sep 20 (0.302%), Dec 19 (0.300%), Sep 10 (0.300%), Dec 20 (0.299%),Sep 18 (0.299%), Aug 8 (0.299%), Sep 26 (0.299%), Sep 17 (0.298%)
Top 10 Least Common: Dec 25 (0.155%), Jan 1 (0.186%), Dec 24 (0.193%), Jul 4 (0.212%), Jan 2 (0.231%), Dec 26 (0.238%), Nov 23 (0.238%), Nov 25 (0.240%), Nov 27 (0.241%), Nov 24 (0.241%)
Data Source: Kaggle.com/datasets/ayessa/birthday
Tools: PlotSet.com
Note that the “4,153,303” figure is bullshit. It is close to births per year but does not actually correspond to the sum in any of the 15 years, nor the average.
Also, neither chart normalizes by weekday: 3 of the years in question started on Tuesday and Saturday while only 1 on Friday, causing most of the variation that got amplified by OOP’s terrible color range. (Because of leap years, I made a table of most common starting weekdays for each month; see my other comment. For example, one of the most common birthdays, August 15, was more often Wednesday or Friday than Saturday.) Without doing weird math, one can ensure the effect of weekdays is largely mitigated by using data from 28 consecutive years, which I believe can be pieced together from several good online sources but I’ll be leaving that as an exercise to the reader.
So it is about average for almost all days. You have more births in fall, probably because of more sex in winter.
And it seems women really don’t want to birth on important holidays. I didn’t think that the power of will is that strong.
Don’t forget the weekdays. The total births in the dataset by weekday are:
SUN |||||||||||||||||||||||| 5886889
MON ||||||||||||||||||||||||||||||||||||| 9316001
TUE ||||||||||||||||||||||||||||||||||||||||| 10274874
WED |||||||||||||||||||||||||||||||||||||||| 10109130
THU |||||||||||||||||||||||||||||||||||||||| 10045436
FRI ||||||||||||||||||||||||||||||||||||||| 9850199
SAT |||||||||||||||||||||||||| 6704495
Now let’s look at holidays 40 weeks prior…
Yeah, everybody’s parents are fuckin between Thanksgiving and New Years.
Anecdotally, I knew that years ago. I worked in a call center and got so bored that I’d mark the day in my yearly calendar when a customer had that birthday, and September and August filled up quick and had so many duplicates. Took me forever to fill up winter, though.
That is a fucking screenshot
It surprises me that there are a lot of births on valentine’s day.
Like 9 months later? Sure. But this? Nah.
Also interesting to see how few births there are around Christmas.
“Can you hold it in just two more days, honey? Don’t wanna ruin this year’s celebration.”
Also discovered something crazy about birthdays when it comes to athletics and competitive sports.
An athletes chance of success are based on what month they are born. Depending on the sport, region and organizations and systems involved … if an athlete is born earlier in the year and the rank they are placed in starts at the beginning of the year, they have a better chance because they will almost be a year older than the player born at the end of the year. In Junior leagues or youth divisions at 10 years of age to 18 … a year makes a huge difference in the players.
I learned all of this from talking to a few individuals who went through provincial level hockey in Ontario.
When it comes to the top level sports … what month you are born really matters.
