I don't think you understood my comment, I will spell it out: data by itself just quantifies, doesn't qualify. It doesn't qualify why marrying before having children is better, it just states that, for some reason, the outcomes are better.
Now you need to do the qualitative research to understand what are the causes for it, it could be that marriage is a signal for stable relationships, in that case marrying doesn't matter but a stable relationship does (which is quite self-obvious, it's just an example). Marriage could also have tax implications in some countries, which in turn could help the average to better outcomes, so on and so forth.
The data on this is enveloping much more than just "marriage" as a virtue, or any other moral aspect of it, you are using the data to imply that marriage is virtuous and is the cause for better outcomes which doesn't hold by just quantification...
It's blindness by statistics, it's quite common when ascribing data as the sole truth. Data can guide you to investigate other aspects that will qualify why the data shows what it shows.
These things I named correlate to better outcomes, we have nothing that indicates that not doing these things generate similar favourable outcomes … but we should continue to tell people that it's not necessary for them to do these things to have good outcomes as we have not done enough qualitative research to know what almost all of our forefathers have known, and it's best that people experiment more and see if maybe the right combination of unemployment, promiscuity and lack of education could not create equally good outcomes for them.
I have unfortunately not spent enough time at a university to follow this line of reasoning. Must be wild to be able to follow it. I'm of the yokel type that thinks if all data and tradition we have shows something works, then it's probably best to do the thing that works instead of trying things that we have no reason to think would work.
But in line with tradition, the underclasses in the west has always been the favourite laboratory for the cultural elites in the west.
> These things I named correlate to better outcomes, we have nothing that indicates that not doing these things generate similar favourable outcomes
Exactly, they correlate but there's nothing saying that just because traditionally it has correlated it means that getting married is the reason for it.
Traditionally only marriage was accepted as the means to form a family, even up to this day people will be shunned by their families for having kids out of wedlock, even in a loving relationship, don't you think being shunned by grandparents would also cause worse outcomes? Considering that some of these being shunned are also of younger age, less support from family members would mean worse outcomes.
Your data doesn't even discriminate about age groups, it's a blanket statement "marriage leads to better outcomes", leading to the question (which you could find data for): which groups? Are there other parameters/aspects that lead to better outcomes which are correlating with marriage rates? What about marriage exactly is causing better outcomes? It's not marriage itself since a lot of marriages end in divorce or an unhealthy home environment, so what is it?
Those are the insights that data can lead you into. Your take is just to do whatever has been done because it's been working, without even questioning why it might work, and what can be done to lead to better outcomes without requiring marriage.
> but we should continue to tell people that it's not necessary for them to do these things to have good outcomes as we have not done enough qualitative research to know what almost all of our forefathers have known, and it's best that people experiment more and see if maybe the right combination of unemployment, promiscuity and lack of education could not create equally good outcomes for them.
This is just moral grandstanding without substance, the world changes, traditions change (the tradition of marriage used to be about property, changing ownership of a woman from her father to her husband, for example), just blind belief in traditions is, at best, ignorant, and at worst produces this bigoted worldview.
You'd do much better if you believed in traditions while also questioning the "whys" behind it, at least to understand better why some tradition you believe might have created better outcomes, and how those processes can be applied outside of your tradition.
That is, if you are a good person and want everyone else to also have a better life even if living outside of what your view of morality is, and not only living life the way your morality prescribes to because that's, supposedly, the only way.
Now you need to do the qualitative research to understand what are the causes for it, it could be that marriage is a signal for stable relationships, in that case marrying doesn't matter but a stable relationship does (which is quite self-obvious, it's just an example). Marriage could also have tax implications in some countries, which in turn could help the average to better outcomes, so on and so forth.
The data on this is enveloping much more than just "marriage" as a virtue, or any other moral aspect of it, you are using the data to imply that marriage is virtuous and is the cause for better outcomes which doesn't hold by just quantification...
It's blindness by statistics, it's quite common when ascribing data as the sole truth. Data can guide you to investigate other aspects that will qualify why the data shows what it shows.