Do you find any correlations with public awareness? Advocacy groups, speakers, and school attitudes? I appreciate your analysis, but to evaluate we need to see error bars, especially when the population sizes are small. A change from 2 to 3 % identification may look significant on a graph without the information you get from error bars. Some of the number differences could be due to data collection techniques and differences in the populations chosen for interview. But you made a good point that larger data sets are important. I realize I am asking technical questions that may be confusing to your audience. Still, for this sort of topic we must be as rigorous as possible, if we use this data to support arguments, or even to celebrate too much. Thank you for your work! Very interesting.
Great. We get to go back to the good old days when living authentically and fully isn't an option for everybody. But then who really wants to belong to a despised population discriminated against in job opportunities, in health care, in housing...in going to the bathroom in public. In this hateful environment, maybe exploring gender identity just doesn't seem worth the public persecution and humiliation.
thanks for this new data. How are data for a given birth year calculated? is this an average across all the survey years for which data on that birth year are available? can one disentangle shifts over time in the self-identification of a particular birth year cohort from shifts between cohorts?
Do you find any correlations with public awareness? Advocacy groups, speakers, and school attitudes? I appreciate your analysis, but to evaluate we need to see error bars, especially when the population sizes are small. A change from 2 to 3 % identification may look significant on a graph without the information you get from error bars. Some of the number differences could be due to data collection techniques and differences in the populations chosen for interview. But you made a good point that larger data sets are important. I realize I am asking technical questions that may be confusing to your audience. Still, for this sort of topic we must be as rigorous as possible, if we use this data to support arguments, or even to celebrate too much. Thank you for your work! Very interesting.
So interesting. Touchy subject to cover but oh so important. Thank you!
Great. We get to go back to the good old days when living authentically and fully isn't an option for everybody. But then who really wants to belong to a despised population discriminated against in job opportunities, in health care, in housing...in going to the bathroom in public. In this hateful environment, maybe exploring gender identity just doesn't seem worth the public persecution and humiliation.
thanks for this new data. How are data for a given birth year calculated? is this an average across all the survey years for which data on that birth year are available? can one disentangle shifts over time in the self-identification of a particular birth year cohort from shifts between cohorts?
It's all the data 2021-2024 combined, for all birth years. As for your third question, that's an interesting idea I will look into.
Thanks for finding this data, it's super enlightening.