dtucker300 Loc: Vista, CA

Survey indicates sexual orientation, g****r identity, and g****r dysphoria are all caused by v******tion
We are basically causing these effects. 80% of the deviations from traditional norms can be ascribed to v******tion.
STEVE KIRSCH
MAY 2

Understanding G****r Identity | Planned Parenthood of Greater Ohio
Executive summary
Thanks to your help in responding to my last survey, it took less than 3 hours to answer the question as to whether sexual orientation, g****r identity and g****r dysphoria are influenced by v*****es.

The answer to all three is yes: the greater someone is v******ted, the more likely they are to exhibit each of these traits.

For all three measures, the odds ratios were 4.8 or higher which means that the attributable fraction is 79.2%.

In other words, v*****es are responsible for nearly 80% of the effect size.

So the mystery is over. We now know the cause.

The survey
The survey was announced here.

The data
The source data is here.

The analysis
You can find the analysis here.

The odds ratios
Here are the odds ratio between the fully v******ted/fully unv******ted. Odds ratios >2 are traditionally associated with causality:

Sexual orientation: 4.78

G****r identity: 4.81

G****r dysphoria: 5.54

These effects are huge and consistent.

Also, the odds ratios for partially v******ted are in line with the fully v******ted: in general, the greater the number of v*****es someone has, the more likely they are to have a trait that differs from traditional norms.

We have biological plausibility
It’s unlikely that these effects are correlated to something else.

We have biological plausibility which is required for making a causality assessment using the Bradford Hill criteria. See: How V*****es Alter Intimate Relationships and G****r Identity.

Bias in the survey
I have more unv******ted readers than most journalists. This enables me to get reasonable sample sizes for people in the fully v****d vs. unv****d cohorts with just 750 responses. Other writers would need 100X as many respondents to get an equivalent number of responses from fully unv******ted people.

The mix of v******ted vs. unv******ted respondents is irrelevant to the odds ratio calculation.

In other words, if all of my readers are all “anti-v**xers” it simply doesn’t matter. If half of them are fully unv******ted, it doesn’t skew the results at all; in fact, it makes the results more accurate.

So claims that the survey is unduly “biased” are without merit; all surveys are biased. The question is whether the biases impact the outcome.

If I got it wrong, please show us the correct data.

AFAIK, nobody wants to collect the data for some reason.

Summary
The data I collected clearly and unambiguously shows that v*****es are the primary cause (79% attributable fraction) of deviation from traditional norms relative to:

Sexual orientation

G****r identity

Sexual dysphoria

If I’m wrong, you need to show us all the data showing this is not the case.

I’ll wait.

BIRDMAN

Makes sense to me