Take the 2-minute tour ×
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It's 100% free, no registration required.

I share the same birthdate as my boyfriend, same date but also same year, our births are seperated by merely 5 hours or so.

I know that the chances of meeting someone who was born on the same date than me is fairly high and I know a few people with whom I share my birthday although for the little I've read about the birthday paradox, it doesn't take same year into account. We've argued before about the probabilities and I am still not satisfied. My point was that the chances are tiny if you consider the probabilities of being in a relationship (+ being successful at it for X amount of time). I find the amount of factors to take into account quite vast (up to a point, gender and age, availability, probabilities of separation in our region, etc.)

Is it even possible to calculate the probabilities on something like this? How would you go about it?

share|improve this question
10  
You're overcomplicating it. The problem is identical to asking the probability that the person sitting beside you on the bus was born on the same day as you, which is 1/365. –  jerad Mar 11 at 17:44
5  
Start with Persi Diaconis and Frederick Mosteller. 1989. Methods for studying coincidences. Journal of the American Statistical Association 84: 853-861. I will not give a URL as several of the copies on the internet may violate copyright; nevertheless it's easy to find .pdf. –  Nick Cox Mar 11 at 17:47
1  
@jerad: "...the probability that the person sitting beside you on the bus..." but the odds are that I wouldn't be in a relationship with everybody that I meet on the bus, doesn't that account for anything? My boyfriend was arguing the same point you are but the relationship part is what's making me doubtful of the validity. –  Emilie Mar 11 at 18:05
9  
The chance that your boyfriend was born the same year as you is actually very high (especially given many situations tend to bring people of very similar age together); it's a very difficult probability to calculate. If you had that probability, P(Same day and same year) = P(Same year) $\times$ P(Same day|same year). But P(same day) should be roughly independent of whether you were born in the same year. So it will be $\approx$ P(Same year) $\times$ P(Same day). –  Glen_b Mar 11 at 20:18
5  
“Million-to-one chances...crop up nine times out of ten.” - Terry Pratchett –  Jeromy Anglim Mar 13 at 3:00
show 5 more comments

7 Answers 7

up vote 48 down vote accepted

For any one relationship, the odds of sharing the same month and day are approximately 1 in 365 (not exactly because of leap year and because births are not exactly evenly spaced within a year. If you add in year, it's probably something like 1 in 3000 or 4000 (most people have relationships with people relatively close in age).

But that' a priori.

That is, if you had asked, before meeting your current boyfriend "What are the odds that the next man I have a relationship with will be born on same day and year?" the odds would have been 1 in 3000 or so.

However, post hoc (that is, while in the relationship) it's trickier because you would have noticed a lot of other coincidences too: My boyfriend was born the day before me! My boyfriend's mother has the same name as my mother!" etc etc.

The odds of "some weird connection with my boyfriend" are impossible to calculate.

share|improve this answer
40  
@Emilie multiply $1/3000$ by the probability of having a successful relationship. This is left as an exercise for the reader. –  Marc Claesen Mar 11 at 18:15
5  
I confess I signed up just to +1 @MarcClaesen's answer (though I may stick around) –  brichins Mar 11 at 21:14
7  
Right. Post Hoc it is essentially guaranteed that there is something very unlikely. This is why numerology is such bullocks. You can calculate odds of some particular phenomenon happening, after you know it is, but it's only there because you invented the phenomenon! –  Cruncher Mar 12 at 2:15
5  
Don't forget that them knowing they had the same birthday almost surely reflexively brought them closer together around the time they met. I'd be curious to know if they met at birthday parties or dinners near one another. –  JohnAllen Mar 12 at 3:28
5  
I'd posit that the odds of "some weird connection with my boyfriend" are near 1:1. Otherwise why are you dating? –  aslum Mar 12 at 14:10
show 8 more comments

As Peter pointed out, it is impossible to calculate coincidences after the fact.

Your question got me thinking, and I realized my girlfriend and I also have a strange birthday coincidence. She was born exactly 432 days before me! And we are also in a successful relationship!

I don't know what this probability is, but it is the exact same as yours!

share|improve this answer
8  
Today's xkcd is quite appropriate too xkcd.com/1340 ;) –  nico Mar 11 at 20:53
26  
+1 Very reminiscent of the Richard Feynman quote: "You know, the most amazing thing happened to me tonight. I was coming here, on the way to the lecture, and I came in through the parking lot. And you won't believe what happened. I saw a car with the license plate ARW 357. Can you imagine? Of all the millions of license plates in the state, what was the chance that I would see that particular one tonight? Amazing!" –  Mike Wierzbicki Mar 12 at 12:01
4  
The number of successful relationships is not constant as a function of age difference. Therefore, the probability of differing 432 days is likely not identical to the probability of differing 0 days (although with such a small age difference, we can probably approximate those probabilities as equal). –  gerrit Mar 12 at 13:43
2  
@nico Funny that the comic is on our birthday! It would be even better if the date was dynamically generated to fit with the current date haha! –  Emilie Mar 12 at 14:31
4  
@andrewb I prefer to observe the coincidences around me than to rely on them ;-) –  Emilie Mar 13 at 5:06
show 3 more comments

So, first of all, the odds of sharing some weird connection with any random person are probably quite high. From experience I'd guess around 20% or so, no way to seriously calculate that, but no matter what it exactly is, just want to be clear having a special weird connection means nothing (though it is fun).

Then, something the other didn't take into account, looking at birth rates per month

enter image description here

we get a nice overview (it's caused by things like people being off thus having a lot of free time on hand 9 months before the months in question), next dividing that percentage by the number of days in that month.

Next one should figure out what the chance is of being born in the same year. Just to give an impression of this chance I'd start with the rule of thumb as presented by xkcd which gives a dating age range of $\pm \ age-\frac{age}{2}+7$, where age $=$ age you started dating. Which in turn gives $P(same\ year)=\frac{1}{pool\ size}$. However, the chances of dating someone from the exact same year are far greater due to a flaw in the educational system where pooling is done by the date of conception. A consequence of this is that the pool of people you know from the exact same ages is by guesstimation a factor of 5 bigger than the expected value, if $age<24$ or so.

What that exactly boils down to depends on age and month born, but for me it boiled down to more than 0.2% (1 in 500). Definitely not normal, but then again, coming full circle, you will find something like that for everyone after the fact.

share|improve this answer
1  
I'm told disproportionally many babies are born just before new year in The Netherlands, where a 31 December birth is financially advantageous over a 1 January birth, due to the way benefits are calculated. I wonder if it's true; the December peak reminds of it. –  gerrit Mar 12 at 13:45
3  
There is an old joke about this situation: it asserts the chance of "sharing some weird connection with any random person" is exactly $1$. The reason is that if you discover you do not have any weird connection, that is itself a weird connection. –  whuber Mar 13 at 16:17
    
@whuber I never meta a metajoke that didn't amuse itself. –  Nick Cox Mar 13 at 16:49
add comment

If it's an event specified before the fact, you can simply break it down:

The chance that your boyfriend was born the same year as you is actually very high (especially given many situations tend to bring people of very similar age together); it's a very difficult probability to calculate, though, without data.

If you had that probability, P(Same day and same year) = P(Same year) $\times$ P(Same day|same year).

But P(same day) should be roughly independent of whether you were born in the same year. So it will be $\approx$ P(Same year) $\times$ P(Same day).

So if you had some good estimate of P(Same year), you can calculate the overall probability reasonably well.

I'd guess that P(same year) is roughly of the order of 0.1 to 0.2, but that's just a guess. [Edit: Jeromy gives a figure based on actual data, which turns out to be about 17%.]

share|improve this answer
    
My guess would be slightly lower. Probably 0.05 to 0.15. This is because traditionally the male is older. I've never understood this in terms of evolution, but it seems to be highly correlated. However the percentage of same-year relationships is likely much higher in high school. But most of those hardly even qualify for a relationship –  Cruncher Mar 12 at 2:19
    
@Cruncher Universities also have a high proportion of equal-age relationships. But I won't dispute your numbers; I have no good basis for my guess. –  Glen_b Mar 12 at 2:40
add comment

Taking the question literally

According to wikipedia, 33.2% of married couples in the United States differ in age by less than one year. Thus, a baseline estimate for sharing the same date of birth would be the above statistic divided by two (because it captures 2 years) for sharing the same year multiplied by the probability of sharing the same birthday:

$$P(DOB_i=DOB_j)\approx \frac{0.332}{2} \times \frac{1}{365} = 0.00045$$

Or roughly 1 in 2200.

As has been noted, both the shared year and shared birthday probabilities could be further refined based on additional information.

  • Probability of shared year: The distribution of age differences in relationships varies based on many factors including culture and time. Also, the above statistic is for a year difference. Dividing by two might lead to an underestimation because the probability of being within six months of age is probably more than half the probability of being within a year.
  • Shared date of birth: There could be tweaks to this. In particular, the uneven distribution of births throughout the year could have a small effect. If you're born in a leap year, then you have 366 as the base divisor. Then there is the elusive effect that being born on the same day might have on you both. In particular, if you are a person who reads into such things and searches for coincidences, such a coincidence might subtly increase your chances of staying together.

Thinking about other coincidences

When it comes to two people, there are many potential sources of coincidences. Humans are very good at identifying patterns. Within the domain of date of births, you could imagine many possible similarities: same month; same day of month; same star sign; same birthday, different year; some similarity in the numbers such as 2nd of May and 5th of February; dates are some round number apart (e.g., 8th of May 18th of May); dates are only only some small number apart (e.g., 8th and 9th of May). We could in some sense describe our sense to which any of these feel surprising or like a major coincidence.

But of course, when we speak about coincidences there is a much wide domain of search. For example, we could look at similarities in names, employment history, appearance, etc. The larger you cast the search, the more possible bases there are for finding coincidences.

In general, the more you look for them, the more you will see them. This is analogous to the analyst who performs many post-hoc statistical tests without correcting alpha. With enough analyses, the probability of finding a significant pattern gets close to one even when alpha is small.

share|improve this answer
add comment

Although the question is about birthdays, the "birthday paradox" isn't really relevant here. It's about how many random samples you need to take before you expect at least two samples among them to be equal (a collision). Your question is mostly about the probability of two samples being equal. If there were 30 people in your relationship then you'd expect two of them to share a birthday but there aren't 30 people, there are only 2.

The odds of having a relationship only have quite a small effect. Most people have a relationship at one time or another. I'd guess more than half of adults have one right at this moment. Some people have several at once, mentioning no Présidents de la République in particular ;-) So it's not going to massively reduce the odds, maybe halve them.

The main consideration is, given this significant person, what is the probability of them sharing your birthday? On pure chance it'd be roughly 1/365 given that the person in question exists at all. Since you choose a partner based on everything you know about them, which includes their birthday, you can't discount the possibility that the actual incidence is significantly higher or lower.

Look at it another way: what's the chance of there being someone who delivers your post and shares your birthday? The chance of a randomly-selected person being the one who delivers your post is tiny, but so what if it is? It doesn't affect the answer. Assuming universal delivery (which I can in my country), someone delivers my post. If there's only one then the answer is roughly 1/365. We can completely exclude from consideration all the people who don't deliver my post, they don't affect the odds no matter how many of them there are.

What's the chance that you have a partner who shares your birthday? It's about 1/365, times the chance you have a partner. Then adjusted by any factors that mean sharing your birthday is correlated or anti-correlated with dating you.

What's the chance that your boyfriend shares your birthday? Well the question pretty much assumes that you have a boyfriend, so strike that part from consideration!

To incorporate the year you need to look at the way the age differences in relationships are distributed. As a rough guess, I'd look at what proportion of relationships have an age difference of less than a year, and multiply my previous number by that. Of course, if you have access to that kind of data you might just be able to look at what proportion of relationships match your criteria, and get the exact frequency without estimating anything :-)

In a society where there's a strong tradition that the man should be somewhat older than the woman in a relationship, you might find that the proportion of age differences below a year is very small, and the proportion couples who share date and year of birth is tiny. This could be the case even if the average age difference is just a couple of years. So maybe you are special, by bucking society's rules. Myself, I'd guess that the proportion of relationships with an age difference less than a year is probably over 10%. But I wouldn't be surprised to be wrong and besides, a lot of my friends met their partners at university, which clearly affects the age difference among the available candidates and that biases what I see to make my guess. Everyone's equal in modern society (right?), but "the man a couple of years older than the woman" is probably a stereotype for a reason.

share|improve this answer
    
I totally agree that the man having to be older is a dated stereotype...still, said bf seemed somewhat relieved when we compared birth hours as he is the eldest :-) –  Emilie Mar 13 at 16:08
    
@Emilie: you could take your age into consideration when estimating your chances. It might be that couples formed 50+ years ago have a very different age-difference distribution from couples formed now, and so your coincidence is becoming more common over time and your chances are better than your grandparents's chances were. –  Steve Jessop Mar 13 at 16:09
add comment

The chances for this to happen.... two people having their birthday on the same day as explained by the other posters is 1/365 * 1/30 to be conservative here with the age ranges. To be in a relationship, a successful one multiply by maybe 1/2 or 1/3?!

However, for you to be in a relationship, you first have to be here. For you to be here, your mom and dad needed to get together - how likely was that then? Then their parents, grandparents, great grandparents, predecessors, apes, fish, amoebas, rays of sun hitting the first predecessors to plants, back to the big bang going as it did and whatever was before it. If you consider all, then every atom in the universe had to be exactly the way it was for you to be there.

You could almost say it's a miracle you guys got together.

share|improve this answer
add comment

protected by gung Mar 18 at 18:22

Thank you for your interest in this question. Because it has attracted low-quality answers, posting an answer now requires 10 reputation on this site.

Would you like to answer one of these unanswered questions instead?

Not the answer you're looking for? Browse other questions tagged or ask your own question.