• Evil_incarnate@lemm.ee
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    5 months ago

    I think some of the numbers are skewed because of induced births. Hospitals won’t schedule an induced birth on Christmas day, if they can help it.

    • Tilgare@lemmy.world
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      5 months ago

      Ah yeah - I found myself staring at the 2nd half of December a bit puzzled, but you’re absolutely on to it.

  • BougieBirdie
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    5 months ago

    I spent far too long looking at this graph thinking that blue was male and pink was female and drawing the wrong conclusions

    • adhocfungus@midwest.social
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      5 months ago

      Same here. I wondered how that was even possible before discovering my Lemmy client had cropped out the legend. Not a fan of this coloring scheme, especially having white as the median value.

    • AlligatorBlizzard@sh.itjust.works
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      5 months ago

      Possibly chosen? My brother was born on the 1st of the month because my mom had a planned C-section and they gave her a window and let her pick the date. She picked something easy to remember. Although this may be less common because it’s no longer mandatory to have a c-section just because your previous birth was via c-section, afaik.

  • RustyNova@lemmy.world
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    5 months ago

    Looks off. Isn’t it more the days of conception rather birthday? It’s rather lucky that they are so many babies on feb14, exactly on Valentine days

    • gaston1592@feddit.de
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      5 months ago

      peak just before and after Christmas would indicate that it’s day of birth, since hospitals work with reduced capacity on these days and induced births or c-sections will not happen then unless it’s an emergency.

      why so many births are on 14.02. is a mystery to me.

      • neatchee@lemmy.world
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        5 months ago

        Best guess seems to be choice of day to induce labor within a given window. A lot of people, if given a window of Feb 7th through 21st or something, will choose the 14th for Valentine’s Day

  • gandalf_der_12te
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    2 months ago

    are there absolute numbers? it would be interesting to know how big is the deviation.