This is an incorrect way to look at this question. There is no where near 5% of the global population (men and women) who are interested in technology. To get a

This is an incorrect way to look at this question. There is no where near 5% of the global population (men and women) who are interested in technology. To get at a more accurate number of what the real percent (absolutely not 5%) you'd need to talk about you would first need to look at the entire population's trends before looking at a subset stratified by gender. To further focus this onto a topic I will only be looking at data related to programmers. Looking at some statistics gathered by Wikipedia it looks like there were closer to 1,069,220 actual software development (611,900 + 457,320). During 2016 there were a minimum (to give your 5% figure the best chance) of 150,576,000 employed people [1]. This means that in actuality you're talking about 0.7100086% of employees in "tech" (which I'm taking to mean software development). If you wanted to talk about gender parity in software development then you would need to use 0.7100086% of women (who are employed) are (expected to be) good at tech, 99.2899914% of women (who are employed) are bad at tech. There about 387,508 female programmers (.212 mul 473000) + (1536000 mul .187) and about 1,621,492 males ((1536000+473000) - 387508) [2] according to more recent statistics. From the same report it looks like 46.9% of the workforce is female with a total number of 153,337,000 workers for 2017. If we apply the 46.9% number we get 71915053 females. If we further apply our 0.7100086% multiplier we get 510,603 females who we'd predict to be software developers. This number is higher than but close to our 387,508 figure from earlier. This was off by 0.76x If we apply the same logic to males we will find that of the 81,421,947 (153,337,000 mul .531) working males after we apply our 0.7100086% from earlier we will find that the number we get extremely under-predicts the number of software developers at a predicted 578,102 males. This is off by a 2.8x I have a few questions that I have not been able to answer. They are as follows: - Why is my percentage of humans who go into software more accurate for women? - Why is my percentage of humans who go into software off by 3x for men? - There are many higher paying and lower effort jobs that are male dominated that men could choose to go into? Why would this skew be so great for software engineering? - Are there other careers who have a similar factor of inaccuracy except flipped (3x more women then predicted, .7x the predicted number of men?) - Does this error factor show dependence on salary? Hours worked? Location of jobs? I know, anecdotally, that none of the other jobs on this list interest me at all while software development is truely my passion. I would find a way to make software development my job no matter what. [0] - https://en.wikipedia.org/wiki/Software_engineering_demographics https://en.wikipedia.org/wiki/Software_engineering_demograph... [1] - http://www.dlt.ri.gov/lmi/pdf/usadj.pdf http://www.dlt.ri.gov/lmi/pdf/usadj.pdf [2] - https://www.bls.gov/cps/cpsaat11.htm https://www.bls.gov/cps/cpsaat11.htm