Is there scientific evidence to suggest that in multiple births, sexes are born in clumps?
Reviewing the birth order of larger families in my tree as well as other larger families I’ve noticed that certain sexes seem to be born in clumps. A mother’s first children may be mostly boys, then mostly girls, then most boys, etc. It seems rare that a mother give births to a boy, then a girl, then a boy, then a girl, etc. Is this just an odd coincidence, or is there scientific evidence that attests this?
Luck of the draw.
During any given pregnancy a woman has the exact same chance of giving birth to a boy as she does a girl. Since you’re asking about birth *order* rather than the total number of boys and girls a woman gives birth to, we have to look at each individual pregnancy.
Pregnancy #1: 50% chance for a boy, 50% chance for a girl.
Had a boy.
Pregnancy #2: 50% chance for a boy, 50% chance for a girl.
Had a boy.
Pregnancy #3: 50% chance for a boy, 50% chance for a girl.
Had a boy.
Pregnancy #4: 50% chance for a boy, 50% chance for a girl.
Had a girl.
Since we’re looking at each pregnancy individually, we cannot say that she’s more likely to have a girl than a boy simply because she’s already had ‘x’ number of boys.
Now we CAN say that OVERALL, she should have 50% male children and 50% female children. The woman actually has 75% male children and 25% female. Why? Small sample size. Just as it wouldn’t be odd to have flipped 3 heads and only 1 tails in four coin flips, it wouldn’t be odd to have 3 sons and only 1 daughter in four pregnancies. If the woman were to have 100 children where 75 were male and only 25 were female, then that would indeed be more than just a coincidence chalked up to sample size.
Luck of the draw.
During any given pregnancy a woman has the exact same chance of giving birth to a boy as she does a girl. Since you’re asking about birth *order* rather than the total number of boys and girls a woman gives birth to, we have to look at each individual pregnancy.
Pregnancy #1: 50% chance for a boy, 50% chance for a girl.
Had a boy.
Pregnancy #2: 50% chance for a boy, 50% chance for a girl.
Had a boy.
Pregnancy #3: 50% chance for a boy, 50% chance for a girl.
Had a boy.
Pregnancy #4: 50% chance for a boy, 50% chance for a girl.
Had a girl.
Since we’re looking at each pregnancy individually, we cannot say that she’s more likely to have a girl than a boy simply because she’s already had ‘x’ number of boys.
Now we CAN say that OVERALL, she should have 50% male children and 50% female children. The woman actually has 75% male children and 25% female. Why? Small sample size. Just as it wouldn’t be odd to have flipped 3 heads and only 1 tails in four coin flips, it wouldn’t be odd to have 3 sons and only 1 daughter in four pregnancies. If the woman were to have 100 children where 75 were male and only 25 were female, then that would indeed be more than just a coincidence chalked up to sample size.
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