ASA’s letter against the public interest and our values

Update 1: I submitted a resolution to the ASA Committee on Publications, for consideration at our January meeting. You can read and comment on it here.

Update 2: The Committee on Publications on January 23 voted to approve the following statement: “The ASA Committee on Publications expresses our opposition to the decision by the ASA to sign the December 18, 2019 letter.”

The American Sociological Association has signed a letter that profoundly betrays the public interest and goes against the values that many of us in the scholarly community embrace.

The letter to President Trump, signed by dozes of academic societies, voices opposition to a rumored federal policy change that would require federally funded research be made freely available upon publication, rather than according to the currently mandated 12-month embargo — which ASA similarly, bitterly, opposed in 2012. ASA has not said who made the decision to sign this letter. All I know is that, as a member of the Committee on Publications, I wasn’t consulted or notified. I don’t know what the ASA rules are for issuing such statements in our name, but this one is disgraceful.

The argument is that ASA would not be able to make money selling research generated by federal funding if it were required to be distributed for free. And because ASA would suffer, science and the public interest would suffer. Like when Trump says getting Ukraine to help him win re-election is by definition in the American interest — what helps ASA is what’s good for science.

The letter says:

Currently, free distribution of research findings is subject to a 12-month embargo, enabling American publishers to recover the investment made in curating and assuring the quality of scientific research content. … The current 12-month embargo period provides science and engineering society publishers the financial stability that enables us to support peer review that ensures the quality and integrity of the research enterprise.

That is funny, because in 2012 ASA director Sally Hillsman (since retired) said the 12-month embargo policy “could threaten the ability of scholarly societies, including the ASA, to continue publishing journals” and was “likely to seriously erode and eventually jeopardize our financial ability to perform the critical, value added peer review and editorial functions of scientific publishing.”

The current letter, at least with regard to ASA, tell this whopper: “we support open access and have a strong history of advancing open access through a broad array of operational models.” They literally oppose open access, including in this letter, and including the current, weak, open access policy.

The ASA-signed letter is very similar to one sent about the same time by a different (but overlapping) large group of publishers, including Elsevier, and the U.S. Chamber of Commerce, claiming the rumored policy would hurt ‘merica. But there are subtle differences. The ASA letter refers to “the current proven and successful model for reporting, curating and archiving scientific results and advancing the U.S. research enterprise,” which should not be tampered with. The other letter warns of the danger of “step[ing] into the private marketplace” in which they sell research. Knowledge philosopher Peter Suber offered an excellent critique of the market claims here in this Twitter thread:

1/ Many of the new publisher lobbying statements use the standard rhetoric that government #openaccess policies interfere with the market. Many go a step further and assert that the market is working well.

For example:

— Peter Suber (@petersuber) December 19, 2019

ASA and the other money-making societies really want you to believe there is no way to do curation and peer review without them. If we jeopardize their business model, ASA says, the services they provide would not happen. In fact, the current subscription models and paywalls stand in the way of developing the cheaper, more efficient models we could build right now to replace them. All we need to do is take the money we currently devote to journal subscriptions and publisher profits, and redirect it to the tasks of curation and peer review without profits and paywalls — and free distribution (which is a lot cheaper to administer than paywalled distribution).

The sooner we start working on that the better. In this effort — and in the absence of leadership by scholarly societies — the university libraries are our strongest allies. This is explained by UNC Librarian Elaine Westbrooks in this Twitter thread:

People in the US are getting all worked up over the threat that articles produced as a result of federally funded research could be open.

— Elaine L Westbrooks (@UNC_Librarian) December 19, 2019

Compare this forwarding thinking librarian’s statement with Elsevier. In proudly sharing the publishers’ statement, Elsevier vice president Ann Gabriel said, “Imagine a world without scientific, medical societies and publishers who support scholarship, discovery and infrastructures for peer review, data archiving and networks.” Notice two things in this statement. First, she does not mention libraries, which are the academy-owned institutions that do literally all this as well. And second, see how she bundles publishers and societies. This is the sad reality. If instead of “societies and publishers” we had “societies and libraries” maybe we’d be getting somewhere. Instead, our societies, including the American Sociological Association, are effectively captured by publishers, and represent their interests instead of the public interest, and the values of our community.

I remain very pessimistic about ASA, which is run by a professional group with allegiance to the paywall industry, along with mostly transient, naive, and/or ineffectual academics (of which I am certainly one). But I’m torn, because I want to see a model of scholarly societies that works, which is why I agreed to serve of the ASA Committee on Publications — which mostly does busy work for the association while providing the cover of legitimacy for the professional staff.

Letter of opposition

So I posted a letter expressing opposition to the ASA letter. If you are a sociologist, I hope you will consider sharing and signing it. We got 100 signatures on the first day, but it will probably take more for ASA to care. To share the letter, you can use this link: https://forms.gle/ecvYk3hUmEh2jrETA.

It reads:

In light of a rumored new White House Open Access Policy, the American Sociological Association (ASA), and other scholarly societies, signed a letter to President Trump in support of continued embargoes for federally-funded research.

We are sociologists who join with libraries and other advocates in the research community in support of federal policy to make the results of taxpayer-funded research immediately available to the public for free. We endorse a policy that would eliminate the current 12-month waiting period for open access to the outputs of taxpayer-funded scientific research. Ensuring full open access to publicly-funded research contributes to the public good by improving scientific productivity and equalizing access — including international access — to valuable knowledge that the public has already paid for. The U.S. should join the many other countries that already have strong open access policies.

We oppose the decision by ASA to sign this letter, which goes against our values as members of the research community, and urge the association to rescind its endorsement, to join the growing consensus in favor of open access to to scholarship, including our own.

New findings: The widening political divide over science

Gordon Gauchat published a paper in American Sociological Review in 2012 (paywalled), reporting that political conservatives in the United States lost confidence in the scientific community from the 1970s to 2010, while political liberals and moderates did not. As a result, a political divide opened up so that by 2010 conservatives had the lowest level of confidence in science.

I’ve written a short working paper that extends the trends through the 2016 General Social Survey. I find that political conservatives, Republicans, and Americans who attend religious services regularly, all demonstrate falling levels of confidence in the scientific community. Further, for the most recent period (2012-2016) educational attainment, for conservatives, is not associated with increased levels of confidence in science, except at the graduate degree level (and even there confidence is lower among conservatives). It’s as if conservative views on science are impervious to education.

I have only a few sentences about politics in the paper, but the gist of it is that this divide is bad, it undermines democracy, and plays into Trump’s authoritarian hands.

Here’s the figure showing the Republicans falling off the trust cliff: the trend in expressing “a great deal of confidence” in the scientific community, with controls, by party identification:

 And here’s the figure from the recent period, showing that conservatives have lower levels of confidence regardless of education level — and education has no relationship to confidence in science for them, up to the level of graduate degree at least.

I welcome your feedback.

The paper is here on SocArXiv, and the Stata code is here.

Science finds tiny things nowadays (Malia edition)

We have to get used to living in a world where science — even social science — can detect really small things. Understanding how important really small things are, and how to interpret them, is harder nowadays than just finding them.

Remember when Hanna Rosin wrote this?

One of the great crime stories of the last twenty years is the dramatic decline of sexual assault. Rates are so low in parts of the country — for white women especially — that criminologists can’t plot the numbers on a chart.

Besides being wrong about rape (it has declined a lot, but it’s still high compared with most countries), this was a funny statement about science (I’ve heard we can even plot negative numbers now!). But the point is we have problems understanding, and communicating about, small things.

So, back to names.

In 2009, the peak year for the name Malia in the U.S., 1,681 girls were given that name, according to the Social Security Administration, or .041% of the 4.14 million children born that year (there are no male Malias in the SSA’s public database, meaning they have never recorded more than 4 in one year). That year, 7.5% of women ages 18-44 had a baby. If my arithmetic is right, say you know 100 women ages 18-44, and each of them knows 100 others (and there is no overlap in your network). That would mean there is a 30% chance one of your 10,000 friends of a friend had a baby girl and named her Malia in 2009. But probably there is a lot of overlap; if your friend-of-friend network is only 1,000 women 18-44 then that chance would fall to 3%.

Here is the trend in girls named Malia, relative to the total number of girls born, from 1960 to 2016:

To make it easier to see the Malias, here is the same chart with the y-axis on a log scale.

This shows that Malia has been on a long upward trend, from less than 50 per year in the 1960s to more than 1,000 per year now. And it also shows a pronounced spike in 2009, the year Malia peaked .041%. In that year, the number of people naming daughters Malia jumped 75% before declining over the next three years to resume it’s previous trend. Here is the detail on the figure, just showing the Malia in 2005-2016:

What happened there? We can’t know for sure. Even if you asked everyone why they named their kid what they did, I don’t know what answers you would get. But from what we know about naming patterns, and their responsiveness to names in the news (positive or negative), it’s very likely that the bump in 2009 resulted from the high profile of Barack Obama and his daughter Malia, who was 11 when Obama was elected.

What does a causal statement like that that really mean? In 2009, it looks to me like about 828 more people named their daughters Malia than would have otherwise, taking into account the upward trend before 2008. Here’s the actual trend, with a simulated trend showing no Obama effect:

Of course, Obama’s election changed the world forever, which may explain why the upward trend for Malia accelerated again after 2013. But in this simple simulation, which brings the “no Obama” trend back into line with the actual trend in 2014, there were 1,275 more Malias born than there would have been without the Obama election. This implies that over the years 2008-2013, the Obama election increased the probability of someone naming their daughter Malia by .00011, or .011%.

That is a very small effect. I think it’s real, and very interesting. But what does it mean for anything else in the world? This is not a question of statistical significance, although those tools can help. (These names aren’t a probability sample, it’s a list of all names given.) So this is a question for interpreting research findings now that we have these incredibly powerful tools, and very big data to analyze with them. The number alone doesn’t tell the story.

On artificially intelligent gaydar

A paper by Yilun Wang and Michal Kosinski reports being able to identify gay and lesbian people from photographs using “deep neural networks,” which means computer software.

I’m not going to describe it in detail here, but the gist of it is they picked a large sample of people from a dating website who said they were looking for same-sex partners, and an equal number that were looking for different-sex partners, and trained their computers to learn the facial features that could distinguish the two groups (including facial structure measurements as well as grooming things like hairline and facial hair). For a deep dive on the context of this kind of research and its implications, and more on the researchers and the controversy, please read this post by Greggor Mattson first. These notes will be most useful after you’ve read that.

I also reviewed a gaydar paper five years ago, and some of the same critiques apply.

This figure from the paper gives you an idea:

These notes are how I would start my peer review, if I was peer reviewing this paper (which is already accepted and forthcoming in the Journal of Personality and Social Psychology — so much for peer review [just kidding it’s just a very flawed system]).

The gay samples here are “very” gay, in the sense of being out and looking for same-sex partners. This does not mean that they are “very” gay in any biological, or born-this-way sense. If you could quantitatively score people on the amount of their gayness (say on some kind of scale…), outness and same-sex attraction might be correlated, but they are different things. The correlation here is assumed, and assumed to be strong, but this is not demonstrated. (It’s funny that they think they address the problem of the sample by comparing the results with a sample from Facebook of people who like pages such as “I love being gay” and “Manhunt.”)

Another way of saying this is that the dependent variable is poor defined, and then conclusions from studying it are generalized beyond the bounds of the research. So I don’t agree that the results:

provide strong support provide strong support for the PHT [prenatal hormone theory], which argues that same-gender sexual orientation stems from the underexposure of male fetuses and overexposure of female fetuses to prenatal androgens responsible for the sexual differentiation of faces, preferences, and behavior.

If it were my study I might say the results are “consistent” with PHT theory, but it would be better to say, “not inconsistent” with the theory. (There is no data about hormones in the paper, obviously.)

The authors give too much weight to things their results can’t say anything about. For example, gay men in the sample are less likely to have beards. They write:

nature and nurture are likely to be as intertwined as in many other contexts. For example, it is unclear whether gay men were less likely to wear a beard because of nature (sparser facial hair) or nurture (fashion). If it is, in fact, fashion (nurture), to what extent is such a norm driven by the tendency of gay men to have sparser facial hair (nature)? Alternatively, could sparser facial hair (nature) stem from potential differences in diet, lifestyle, or environment (nurture)?

The statement is based on the faulty premise that they are “nature and nurture are likely to be as intertwined.” They have no evidence of this intertwining. They could just as well have said “it’s possible nature and nurture are intertwined,” or, with as much evidence, “in the unlikely event nature and nurture are intertwined.” So they loaded the discussion with the presumption of balance between nature and nurture, and then go on to speculate about sparse facial hair, for which they also have no evidence. (This happens to be the same way Charles Murray talks about race and IQ: there must be some intertwining between genetics and social forces, but we can’t say how much; now let’s talk about genetics because it’s definitely in there.)

Aside from the flaws in the study, the accuracy rate reported is easily misunderstood, or misrepresented. To choose one example, the Independent wrote:

According to its authors, who say they were “really disturbed” by their findings, the accuracy of an AI system can reach 91 per cent for homosexual men and 83 per cent for homosexual women.

The authors say this, which is important but of course overlooked in much of the news reporting:

The AUC = .91 does not imply that 91% of gay men in a given population can be identified, or that the classification results are correct 91% of the time. The performance of the classifier depends on the desired trade-off between precision (e.g., the fraction of gay people among those classified as gay) and recall (e.g., the fraction of gay people in the population correctly identified as gay). Aiming for high precision reduces recall, and vice versa.

They go on to give a technical, and I believe misleading example. People should understand that the computer was always picking between two people, one of whom was identified as gay and the other not. It had a high percentage chance of getting that choice right. That’s not saying, “this person is gay”; it’s saying, “if I had to choose which one of these two people is gay, knowing that one is, I’d choose this one.” What they don’t answer is this: Given 100 random people, 7 of whom are gay, how many would the model correctly identify yes or no? That is the real life question most people probably think the study is answering.

As technology writer Hal Hodson pointed out on Twitter, if someone wanted to scan a crowd and identify a small number individuals who were likely to be gay (and ignoring many other people in the crowd who are also gay), this might work (with some false positives, of course).

Probably someone who wanted to do that would be up to no good, like an oppressive government or Amazon, and they would have better ways of finding gay people (like at pride parades, or looking on Facebook, or dating sites, or Amazon shopping history directly — which they already do of course). Such a bad actor could also train people to identify gay people based on many more social cues; the researchers here compare their computer algorithm to the accuracy of untrained people, and find their method better, but again that’s not a useful real-world comparison.

Aside: They make the weird but rarely-necessary-to-justify decision to limit the sample to White participants (and also offer no justification for using the pseudoscientific term “Caucasian,” which you should never ever use because it doesn’t mean anything). Why couldn’t respondents (or software) look at a Black person and a White person and ask, “Which one is gay?” Any artificial increase in the homogeneity of the sample will increase the likelihood of finding patterns associated with sexual orientation, and misleadingly increase the reported accuracy of the method used. And of course statements like this should not be permitted: “We believe, however, that our results will likely generalize beyond the population studied here.”

Some readers may be disappointed to learn I don’t think the following is an unethical research question: Given a sample of people on a dating site, some of whom are looking for same-sex partners and some of whom are looking for different-sex partners, can we use computers to predict which is which? To the extent they did that, I think it’s OK. That’s not what they said they were doing, though, and that’s a problem.

I don’t know the individuals involved, their motivations, or their business ties. But if I were a company or government in the business of doing unethical things with data and tools like this, I would probably like to hire these researchers, and this paper would be good advertising for their services. It would be nice if they pledged not to contribute personally to such work, especially any efforts to identify people’s sexual orientation without their consent.

The sky is falling because of feminist biology, Factual Feminist edition

The other day I explained why, despite her mocking tone,  the “Factual Feminist” (Christina Sommers) doesn’t have the factual basis to undermine commonly-used statistics on rape. Now she has a video out on “feminist science.” No, it’s not a joke from The Simpsons, she says:

A new feminist biology program at the University of Wisconsin is all too real… Is feminist biology likely to contribute to our knowledge and understanding of the world? The Factual Feminist is skeptical.

The program in question is really just a post-doctoral fellowship. It looks like a privately-endowed fund to hire one postdoc. This is not a major curriculum intervention. The first postdoc in the program is Caroline VanSickle, a biological anthropologist from the University of Michigan who does work on ancient female pelvic bones and their implications for birth stuff. She was quoted by the right-wing Campus Reform (a project of the Leadership Institute) this way:

“We aren’t doing science well if we ignore the ideas and research of people who aren’t male, white, straight, or rich,” VanSickle said in an email to Campus Reform. “Feminist science seeks to improve our understanding of the world by including people with different viewpoints. A more inclusive science means an opportunity to make new discoveries.”

I don’t know the evidence on whether the ideas of biologists who aren’t male, White straight, or rich are ignored in science today, but this sentiment seems unobjectionable to me – we aren’t doing science well if we ignore anyone’s (good) ideas. Who could object to “including people with different viewpoints”? But Sommers, for some reason misquoting her only source for the story, says,

She explained to Campus Reform that, quote, in order to do science well, she said, we can’t ignore the ideas and research of people who just don’t happen to be male. But wait a minute. Women are hardly ignored in biology. In fact, they have far surpassed men in earning biology degrees. What is more, women are flourishing, and winning Nobel Prizes in that field.

On the screen flashes a table showing women getting 61% of BA degrees in biology, 59% of MAs, and 54% of PhDs. If we’re talking about whether women are ignored in biology, I think it’s the PhDs that matter, so 54% is not quite “far surpassed.” More to the point, although women first surpassed men in receiving biology BA degrees in 1988 — a quarter of a century ago — they are currently only 23% of full professors in biology. I’m not arguing about whether this reflects job discrimination against female biologists. The point is that if only a small minority of the most influential biologists are women, and if there are common differences in how men and women do biology, then the views of the latter are going to be less well represented.

To show overblown this worry is, Sommers then flashes this image of all those women winning Nobel Prizes in “that field” (actually the prizes are for “Physiology and Medicine,” since there is no Nobel for biology):

Those women sure seem to be flourishing. And that’s every woman who ever won a Nobel in Physiology and Medicine — all 10 of them. Since the 1940s, when the first of these women flourished, men have been awarded 162 Nobels in that field — the other 94% of the prizes. The peak decade was in the 2000s, when women won 15% of the prizes (the most recent in 2009).

At Wisconsin, the single “feminist biology” postdoc will also develop an undergraduate course in gender and biology. This seems like a fine idea. Maybe it will encourage even more women to overrun the biological sciences. Call me naive, but we’re still not exactly drowning in female biologists.

After going on to pick on a few individual feminists, Sommers concludes that:

…feminist theory [has] been built on a foundation of paranoia about the patriarchy, half-truths, untruths, oversimplifications, and it’s immune to correction.

Raising the question: If feminism is rubber, and the Factual Feminist is glue, does what she say bounce of feminism and stick to her?

Full disclosure: My mother is a biologist. And a feminist. So you know I’m right. And objective.

Fundamentally opposed to science?

Conservative religious fundamentalists really don’t trust the scientific establishment.

In the discussion of academia’s liberalism, we should also consider the public’s mistrust of science, especially the conservative and fundamentalist public. Why would people who don’t trust science become scientists?

Last year Gordon Gauchat reported in American Sociological Review that Americans’ trust in the scientific community was holding steady except for political conservatives and those who attend church regularly, and that the trend was not explained by the lower education levels of conservatives or religious people (in fact, educated conservatives expressed the lowest levels of trust in science). His conclusion was that the trend showed the politicization of science, which is not the way modernity is supposed to go.

In response, Darren Sherkat blogged that Gauchat underestimated the importance of religion in explaining conservatives’ opposition to science because he only used the General Social Survey’s measure of the frequency of religious attendance instead of a measure of beliefs. And he provided a chart from the GSS showing that religious fundamentalists had lower trust in science whether they were Republicans or not. Sherkat wrote:

Any social scientist who studies politics, religion, and science should know that the reason why Republicans are at war against science is to court the vote of fundamentalist Christian simpletons who are opposed to science and reason. … What drives Republican opposition to science is that more Republicans are fundamentalists who believe that the Bible is the literal word of god.

You got your fundamentalism in my conservatism

As I look at it, conservatism and fundamentalism are both at fault. My take on the trends shows that, in addition to the growing divide between politically conservative fundamentalists and politically liberal non-fundamentalists, liberal fundamentalists have grown more trusting of science, while conservative non-fundamentalists have grown less trusting.

I used the GSS from 1974 through the latest 2012 survey. To highlight the polarization I show only those who are “extremely liberal,” “liberal,” “conservative,” or “extremely conservative,” leaving out those who are “slightly” liberal or conservative, or moderate. So this is not the whole population (I’ll return to that below).

The question was:

I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal of confidence, only some confidence, or hardly any confidence at all in them? … Scientific community.

It’s as close as we get to a question about science itself. For fundamentalism, GSS asked whether the respondent’s religion was fundamentalist, moderate, or liberal. I dichotomized it to fundamentalists versus everyone else (including people with no religion).*

These are the people expressing a great deal of confidence in the scientific community:

These trends are heavily smoothed (down to four decades), because the numbers bounce around a lot from year to year, as the samples are only between 60 and 220 in each cell in the individual years. To do a simple test of the trends, I ran a regression using time and interactions between time and politics-fundamentlism dummy variables, with controls for age and sex (old people and men hate science more than regular people, net of religion and politics).

The regression confirms what the graph shows: significant declines in trust among conservatives whether fundamentalist or not, and an increase in trust among liberal fundamentalists. The trend for liberal non-fundamentalists was flat. (Details on request.)

I left out of that analysis the people who were slightly conservative, moderate, or slightly liberal. That’s a shrinking majority of the population, which breaks down like this from the 1970s to the last decade (click to enlarge):

So the bad news for science is that the increasingly anti-science groups are increasing in the population: conservative fundamentalists and non-fundamentalists. The big green majority is not growing more or less anti-science (even when you break it down by fundamentalism), but it’s also shrinking. The liberal fundamentalists are getting more into science, but also vanishing.

Just wait till they find out (some) sociology is part of the “scientific community.”

Note: This is a blog-post, not peer-reviewed research. I might be wrong.

* Skerkat instead uses a question about how to interpret the Bible instead of the fundamentalism question (literal word of God, inspired word of God, book of fables). 95% of the people who described themselves as having a “fundamentalist” describe the Bible as either the literal or the inspired word of God.

 

 

Responses on fatherhood: hormones, science and god

The fatherhood post yesterday has gotten (for this blog), a lot of readers and some interesting responses. As I wrote out some extended, disorganized comment responses, I realized I may as well elevate them to an independent post (still a disorganized rant though).

I like the discussion by the authors on the Scientific American blog suggested by szopeno. Like I said in the original post, it’s quite reasonable that caring behavior affects hormone levels, as we know things like stress and fear do as well, with all kinds of mental and physical effects. If you randomly subjected some people to competitive athletic coaching, and handed others an infant, I wouldn’t be surprised to see the competition people behaving more aggressively and the baby-holders being more nurturing on average three months later. That would be interesting.

What is the implication? Are we shocked that some aspects of fatherhood (or childcare or sex) provoke a “biological” response? If that shocks you, you might like to know that by simply showing people pictures of other people behaving in certain ways, their bodies are are more likely to undergo spontaneous physical transformations. Just from sitting there looking at pictures! Also, if you inject an athlete with testosterone he can ride his bike really fast.

It does not follow from these findings of a hormonal response to life events that we should promote certain family arrangements as “natural,” which is where Wilcox and the religious-sociological-complex is taking this. If the goal is to change men’s testosterone levels, that might be done with medication. If the goal is to reduce aggressiveness, try teaching meditation in public schools. If we want people to be better parents, we can give them jobs, healthcare, housing and childcare support.

We have lots of ways of trying to promote happiness and pro-social behavior. However, like the crazy list of potential risks and side effects for men taking low-T medication, there are consequences to any such intervention.

Fortunately for individual freedom and human rights, some of us know that we can punish or prevent bad behavior — and reward or encourage good behavior — without attacking or rewarding whole status categories of people. Children with rich, married, college-educated parents are more likely to get into and finish college. So, we ought to fund a public school system, fund student loans for college — and also protect the children of the evil, sick or ineffective rich, married, college-educated parents from harm. But that doesn’t mean we should sterilize poor people.

So, is fatherhood good?

It’s not a question with one answer. One of the things Wilcox and the family “gold standard” promoters do is find ways that people in “traditional” families are doing better on average and use that to promote family conformity. But the averages conceal the sources of variation. Comparing the average father to the average non-father won’t tell you much about how fatherhood affects men because fatherhood occurs along with so many combinations of other transitions, experiences and resources. If you randomly assigned fatherhood to random men — at random moments in their lives — you could come up with an answer. Otherwise I’m not optimistic, and if it’s not answerable I doubt it’s a good question for social science.

Imagine three sets of outcomes: money, happiness and healthiness. Each is affected by social background and context. Then consider men entering fatherhood with different levels of each beforehand, and see how each outcome changes for all the different combinations (e.g., income changes for rich, happy, healthy; income changes for poor, happy, healthy; etc.). The possibilities multiply. If you’re Brad Wilcox you can work back from your goal — married nuclear families — and compare them to everyone else to cherry-pick any worse outcome at any time, and lo, discover that the Bible was right after all. If you really want to know it’s not so easy.

I haven’t yet read Doing the Best I Can: Fatherhood in the Inner City, the new book by Kathryn Edin and Timothy J. Nelson, but that seems promising for an in-depth look at fatherhood in the flow of men’s lives, with a lot of attention to the social context (education, employment, incarceration, complex families and relationships, etc.).

Don’t take my Word for it

If you start from a God-given definition of what’s good, and science can’t change that, then science becomes just a convenient way of explaining what you already knew, which is not science — it’s what the Church calls “natural law.”

Wilcox denies that’s how it works, naturally. At a conference on the family and natural law, he was quoted as saying,

Our support for the renewal of marriage is not predicated on some … religious worldview. Rather, it’s based on a reasonable understanding of the human condition that is accessible to all men and women of good will. … Evidence suggests to us that intact, biological marriage is still the gold standard.

That depends on what you mean by “predicated.” Years before the “Regnerus affair,” during which Mark Regnerus joined Wilcox in a scheme to use science against marriage equality in the courts, Regnerus gave his view of the importance of (a certain kind of) marriage, and it did not originate from his scientific training:

The importance of Christian marriage as a symbol of God’s covenantal faithfulness to his people—and a witness to the future union of Christ and his bride—will only grow in significance as the wider Western culture diminishes both the meaning and actual practice of marriage. Marriage itself will become a witness to the gospel.

That divine law and natural law do not conflict is an article of faith (literally). I think Pope Leo XIII put it well when he wrote:

Now, reason itself clearly teaches that the truths of divine revelation and those of nature cannot really be opposed to one another, and that whatever is at variance with them must necessarily be false. Therefore, the divine teaching of the Church, so far from being an obstacle to the pursuit of learning and the progress of science, or in any way retarding the advance of civilization, in reality brings to them the sure guidance of shining light.

Thus, rather than see science as a candle in the dark, natural law says that science needs a candle in the dark, and God has one. Could any research penetrate that mindset? If your research contradicts the “truths of divine revelation” then your research is wrong. Try again! Science in this vein is just looking for ways to convince secular society that the Church is already right. It is a self-fulfilling prophecy (literally). From the same natural law conference news report:

While there’s limited data on the effects of same-sex marriage on children, Wilcox hypothesized that in a few years, research will show that children in lesbian or gay family situations will exhibit some of the same problems as children from father-less or cohabiting relationships.

That conference was in January 2011. At that point Wilcox already had the New Family Structure Study machinery in motion, which would end up confirming to the faithful what they already knew.