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Engineers Have More Sons, Nurses More Daughters

Bifurcati writes "While it might be irrelevant for many /.ers, a recent study has shown that people in stereotypically male professions (engineering, IT, mathematics, etc) are more likely to have sons than daughters, while nurses, therapists and teachers tend to produce more girls. Based on independent survey data, engineering types produce 140 boys to every 100 girls, while nurses and the like produce 135 girls to 100 boys. The explanation is unclear, but it might have interesting long-term social implications. A more detailed summary of the journal article is available on Illuminating Science."

28 of 668 comments (clear)

  1. diet can affect gender... by professorhojo · · Score: 5, Funny

    Studies have shown that a mother-to-be's diet high in calcium and magnesium including milk, beans, cereals, cheese and nuts may favor a baby girl, whereas a diet high in pizza and coke apparantly favors the conception of a baby boy.

    1. Re:diet can affect gender... by FidelCatsro · · Score: 4, Funny

      I take it thats prior to conception ? as the sperm contains the other Y or X chromasome..
      Or does it cause conditions such as XX males and XY females?

      --
      The only things certain in war are Propaganda and Death. You can never be sure which is which though
    2. Re:diet can affect gender... by Rei · · Score: 4, Informative

      The parent was joking (and I'm surprised that so few have caught it), but apart from that, gender is not simply tied to chromosomes. In fact, there's only one small section of the Y chromosome that causes virilization (SRY) (of it, only one or two genes start the process), and this has been known to migrate on occasion to other genes. There have been a number gender-affecting of mutations that have occurred in the region (including, in one case that I read, a two BP mutation that caused a normal XY female. In another case, a normal XX man didn't even have a migrated SRY, but simply had virilized from other, unknown effects.

      Environmental factors can play a strong role, and might have been involved in the latter case. Excessive androgens produced by the mother can lead to degrees of virilization of the fetus; other factors may help cause androgen insensitivity and thus feminization. Gender isn't so clear cut; it just tends to migrate to one extreme or the other because that's genetically advantageous, and the Y chromosome usually acts as a carrier for the genes that activate virilization.

      As for what's causing the "engineer shift", that's a really good question... that's a pretty darn big correlation that the article described.

      --
      I believe Bird-Person can arrange that.
    3. Re:diet can affect gender... by MindStalker · · Score: 4, Interesting

      Well you generally have an equal number of X and Y sperm (while all eggs are X of course) its been shown that Y sperm die easier when conditions are harsh (acidity, not right temperature etc.) and are stronger when conditions are just right. So this affects the gender greatly. How brain-type affects gender is unknown but probably based on hormons levels which can change these conditions.

    4. Re:diet can affect gender... by ignorant_coward · · Score: 4, Funny


      I'm 98 to 99.4 percent monkey, you insensitive clod!

  2. Finally I know by vlad_petric · · Score: 4, Funny

    That's why they do the graduate engineering/nursing mixers!

    --

    The Raven

  3. Irresponsible statistics by metachor · · Score: 5, Insightful

    Repeat after me: "Correlation does not imply causality."

    1. Re:Irresponsible statistics by shaka999 · · Score: 4, Funny

      Repeat after me

      "I'm a science wenie and need to get out more."

      The article doesn't draw conclusions. Its just an interesting set of data.

      --
      One should not theorize before one has data. -Sherlock Holmes-
    2. Re:Irresponsible statistics by Anonymous Coward · · Score: 5, Interesting

      The question, of course, is whether this is a reasonable interpretaiton of an objective set of data, or whether this is pseudostatistics where you start from a conclusion, and work backwards to find it in the numbers. Some questions I'd like to see addressed:

      * How were the groupings into "masculine" and "feminine" professions done? Is this reasonable, and did they truly choose the most "obvious" masculine and feminine professions to include?
      * Do these groupings span the dataset, or are some (possibly most) professions excluded as "neutral"?
      * What is the breakdown by profession for all professions, not just the included groups?
      * Most importantly, was the selection of the "masculine" and "feminine" professions determined BEFORE or AFTER the data was collected?

      My concern here is that they started with a dataset for chilbirth for all professions (probably on a fairly small dataset). They noticed some professions skewed one way, some another. They noticed that some of the professions skewing male were "masculine" and some skewing female were "feminine" and called it a conclusion, sweeping all the other anomalites in their dataset under the rug. Hey, presto! Conclusion!

      Fact: The general benchmark for "statistical significance" is 95% confidence that the data cannot be explained as a random phenomenon.

      Experiment: Create 20 hypothetical correlations to test for on a completely random dataset. On average, you should find one in twenty hits the 95% confidence mark.

      Intellectually dishonest followup: Publish your one statistically significant result with great fanfare. Bury the othe 19 in a footnote, if you mention them at all.

      Step 3: Profit!

  4. Causality by XanC · · Score: 4, Insightful
    The article seems to imply that by switching to a masculine job, you'll change the sex of your potential children.

    I think it's far more likely that it's not what job you're doing, it's what job you tend to want to do.

  5. World Domination! by Lordofohio · · Score: 5, Funny

    Just the news I need to hear in order to start my line of supersmart offspring that will form the ultimate Revenge of the Nerds. Mwuhahahahahahahha

    Oh wait, according to my calculations the probability of me getting laid is 3x10^-8

  6. Simple explanation by justforaday · · Score: 4, Funny

    Duh! It's because boys have boys and girls have girls. Oh, wait...

    --
    I'll turn into a supernova and burn up everything. Well I'll turn into a black little hole and you'll turn into string.
    1. Re:Simple explanation by Scurra+UK · · Score: 5, Funny


      --- JOKE --->

      0
      you -> /|\
      / \

      Just to spell it out for _It doesn't come easy_, this is a a joke flying right over your head.

    2. Re:Simple explanation by nitehawk214 · · Score: 5, Funny

      A friend told me once: "Of course I had a boy, my father had a boy, and his father had a boy, and so on..."

      --
      I'm a good cook. I'm a fantastic eater. - Steven Brust
  7. Needs a lesson in genetics. by Eunuch · · Score: 4, Informative

    More testosterone in the womb leads to boys.

    What does this have to do with the father? What does this have to do with which sperm gets into the egg?

    --
    Transcend Humanity. Please.
  8. Re:If a nurse and engineer marry and have a child. by TrippTDF · · Score: 4, Funny

    Does it come out as a trannie?

    Do you mean "comes out" as in born or "comes out" as in closet?

  9. And I married a nurse by BronxBomber · · Score: 5, Funny
    While this study is most assuredly crap, (I dont see what these "long term social implications" really are), its pretty interesting.

    Hopefully (we dont have children yet), I'll have a healthy boy or girl, who will take great care of me AND my source code in my very old age.

    --
    ...both interiorlly, and exteriorlly.
  10. Shettles Method by iammrjvo · · Score: 4, Interesting


    There are proponents of different techniques that supposedly let you choose the sex of your child. One interesting technique is called the Shettles Method. One family that I know swears by this method. They are four for four in getting it to work.

    At any rate, perhaps different personalities or lifestyle conditions between engineers and nurses would help to explain this data - if indeed there is any credence to Shettles or similar methods.

    --
    Ha, ha! Nobody ever says Italy.
  11. Re:Wrong. by ProfaneBaby · · Score: 4, Informative

    From the first link: The study did not say why this phenomenon occurred

    From the second: They're very cautious about interpreting the cause of their results, and what conclusions could be drawn.

    Read past the first line teaser. The meat of the article isn't nearly as bad as one would like to pretend.

    --
    Video Phone Blogs send video messages straight to the web.
  12. Not Wrong - Look at the bloody context by GryMor · · Score: 4, Informative

    Of course, the media has promptly taken things one step further and suggested that "Couples desperate to produce a son could boost their chances if one or both of them switches to a "masculine" profession such as engineering or accountancy". Perhaps this is true - but that might be reading more into the report than is good for it.

    --
    Realities just a bunch of bits.
  13. Easy explanation! by behoward · · Score: 5, Funny

    Easy explanation: people in stereotypically male professions, except for jocks, are less able to attract an attractive mate. This sad fact leads them to disproportionately engage in sex using the "doggy" position to avoid looking at each other's ugly faces. And, as has been proven, this results in semen getting in closer to the egg where the male sperm can impregnate. Face-to-face intercourse requires sperm to swim farther, giving the advantage to the female sperm, which have greater stamina and can impregnate after all the wimpy male sperm have died out.

  14. Summary of the actual article by call+-151 · · Score: 4, Insightful
    Both of the linked articles are pretty flismy- the first claims that switching professions may increase the chance of having a child of a particular gender (confusing correlation with causation...) and the second one marvels at the notion that a sequence of children of the same gender is more likely than randomness would suggest (which is already well-established as there is some genetic predisposition towards male sperm having uneven fractions of X and Y chromosome shares).

    The actual article (Journal of Theoretical Biology, 233, p589-599 "Engineers have more sons, nurses have more daughters: an evolutionary psychological extension of Baron-Cohen's extreme male brain theory of autism" by Satoshi Kanazawa and Griet Vandermassen and available through Elsevier's Science Direct) came out in December 2004 an is available online for those whose institutions subscribe, notes the following correlations:

    This is based on survey data from US professions of around 1500 people. Only some of the professions are categorized as "systemizing" and "empathizing" so presumably the sample size is much smaller than that . The sample size isn't listed directly in the article but it appears to be about 20% of the 1500 with at least one parent so categorized profession, for around 300 people or so. Most professions are neutral in the "systematizing/empathizing" continuum, apparently.

    Amoung those with "systemizing occupations" had regression coefficients of .35 with the number of sons and .14 with number of daughters, and those with "empathizing occupations" had coefficients of .27 with #sons and .40 with #daughters. (As a side note, it appears that "empathizing professions" have more reproduction overall, consistent with common myths about lonely geeky engineers...)

    From the classification of professions:


    Systemizing occupations

    • Executative, managerial, adminstrative such as financial managers, analysts, etc.
    • Professional: architects, engineers, etc.
    • Technicians


    Empathizing occupations

    • Professional: nurses, speech therapists, teachers, counselors


    Presumably other professions are regarded as neutral in this spectrum.
    --
    It's psychosomatic. You need a lobotomy. I'll get a saw.
  15. Ob. Troy McClure by seanadams.com · · Score: 4, Funny

    Have you ever wondered why fat parents have fat children? Or why Chinese parents have Chinese children? It's no coincidence.

  16. Yeah, well it's gonna get messy for me. by Dasein · · Score: 4, Funny

    I already have a girl, so apparently I need to have 1.4 boys. The whole boy is gonna be fine but what am I gonna do with 40% of a boy? I mean, aside from encouraging him to be a high school social studies teacher.

    --
    You are not a beautiful or unique snowflake -- but you could be if you got off your ass.
  17. Re:correlation and causations by cpotoso · · Score: 4, Insightful
    The reason, if any, could be as follows: a couple with more "masculine traits" may stop having children after they get a boy, whereas a "more feminine" couple stops having children after having a girl. Lets enumerate the possibilities.

    For the "masculine couple" (please note that the following are not equal in probability!):

    BOY, stop

    GIRL, BOY, stop

    GIRL, GIRL, BOY, stop

    etc.

    A similar (substituting BOY and GIRL) sequence can be made for the "feminine" couple.

    It is easy to see how this would lead to more BOYS or GIRLS in each respective case (on average).

    This is one possible explanation of cause.

  18. Re:babies sex can be influenced. by EnderWigginsXenocide · · Score: 4, Funny

    What happens if *gasp* an Engineer marries a Nurse? So they both want to be on top right? What you get is the barrel-roll position. Occasionaly you end up with the RODEO position as well as the one on bottom tries to buck off the partner currently on top. WWF meets the bedroom sorta.

    --
    Blessed are the pessimists, for they have made backups. -- 0 1 My two bits
  19. Irresponsible conversation by missing000 · · Score: 5, Funny

    I love this game.

    Repeat after me, "I'm a bit daft, and I like to think others will repeat silly things I say from time to time."

    Now, go have a beer.

  20. Re:correlation and causations by egomaniac · · Score: 4, Insightful

    It is easy to see how this would lead to more BOYS or GIRLS in each respective case (on average).

    Not so. Assuming you have a 50-50 chance of it being a boy or a girl, you will end up with 50% boys and 50% girls no matter what contortions you go through to try to influence the outcome.

    Look at it another way: pretend these are coin flips rather than childbirths. Your suggestion (that you can alter the odds by when you choose to stop trying) is equivalent to saying that you can bias to heads or tails by deciding when you stop flipping the coin. And, of course, that isn't true -- no matter how many trials you perform or in what order, a fair coin will (on average) deliver 50% heads and 50% tails. One more 50-50 flip won't in any way alter the expected outcome.

    It's exactly the same way with childbirth. The first child (we would expect) would be 50% likely to be a boy. The second would be 50% likely to be a boy. The third would be 50% likely to be a boy, and so on ad infinitum. Adding another trial (childbirth) onto the end of the sequence does not change the odds, and on average you would end up with 50% boys and 50% girls.

    Of course, this research shows that that naive assumption isn't true, and apparently something is altering the odds. We just don't yet know what.

    (And, amusingly enough, I'm to find out my baby's gender in two days. Evidently it's more likely to be a boy...)

    --
    ZFS: because love is never having to say fsck