One of the recurrent themes on this site—and in the new anthology The War on Science, including the paper byLuana and Maroja and me—is the erosion of scientific standards by ideology. Now a new paper in the peer-reviewed journal Big Data & Society (first title below), analyzed by Colin Wright on his website (second title), shows more than anything the explicit antiscientific aims of some ideologues. And those aims include clear guidance to prioritize ideology and politics over truth. Nowhere else have i seen this aim stated more blatantly.
In this case, the ideology promoted to distort or efface truth is “trans data epistomology”: a way to deal with data on trans issues. (As you know, empirical data, because they sometimes counteract accepted trans ideologies, have been controversial, leading to withholding of data that has real effects on human beings.)
I hasten to add that the distortion of data and prioritizing of politics over truth can be and has been applied to any group that does “science” with a political agenda—not just minority groups but entire organizations like scientific journals, medical schools, and professional organizations. I emphasize this because trans matters are the hottest of political hot potatoes, but what this paper exemplifies is not at all unique to trans issues, and calling it out is not “transphobic”. In this time of extreme political division, science has become a tool not for finding truth, but for advancing your cause, no matter what the cause may be. Damn the truth, and full steam ahead.
The authors of this paper (again, it’s peer-reviewed) conducted 13 interviews of activists involved in “trans community care” and, from the 16 people involved in these interviews, the authors derived four pillars of what they call “trans data epistemology”, which turns out to involve, as Colin notes, ways you can use data to advance your cause.
Click the title below to read the paper:
Here’s part of the abstract; I’ve bolded the four pillars, but pay attention to the third one: “community well-being is more important than ‘accurate’ data”. The last one, “data makes us visible to institutions,” apparently means “reframing your data in a way that serves your needs.”
Drawing on literature from trans theory, data activism, critical data studies, philosophy, and critical social theory we offer a narrative of trans people as creators of knowledge, data-based and otherwise, undergirded by four pillars of a trans data epistemology: categories are provisional and productive, data can be a tool of community care, community well-being is more important than “accurate” data, and data makes us visible to institutions.
This is from the paper’s section on “pillar 3”: prioritizing ideology over truth:
Community well-being is more important than “accurate” data
Trans communities are experiencing an emergency. Well, it was already an emergency, but this is an epidemic. This is a crisis. This is, stop what you’re doing. We have to help now, today. And sometimes these pieces of data really can be a very strong call to action. (George)In this pillar, we examine how participants prioritized actionable data for the trans community. Our participants reflected an understanding of data as rhetoric, as merely “one mode of conveying information” (Haarman, 2021: 35), not the only mode. When data is simply one of many ways of conveying information, it does not need to be viewed as the canonical source of truth. Our participants repeatedly emphasized that actionable and useful data for community care was the utmost priority over true, accurate, or verifiable data. We do not mean to undermine the meticulous data work of our participants but to emphasize the desired outcome of community well-being of their data work. This aspect of trans data epistemology is consonant with the idea that data is for community care.
This is an academic way of saying that there are other ways of knowing besides the data itself, and data doesn’t have to be the “canonical source of truth.” In fact, when the data conflict with “community care,” you give priority to the latter. For things like “affirmative care” in gender medicine, this has obvious implications. One example is the withholding of data that counteract accepted ideology, like recent data showing that untreated gender dysphoria does not increase the suicide rate, or that affirmative care does not bolster mental health.
I’ll leave you to read the paper itself and Colin’s analysis below (I’ll quote him a bit), but want to add one part of the paper that’s becoming increasingly commonplace: “author positionality”—statements in which authors reveal aspects of their personal life, including their activities and ideologies. Here’s the positionality statement of the second author from the University of Washington (the first author works at MIT):
Amelia Lee Doğan: I came to this project after its development as a trans person interested in activism and data. My experience include working part-time for a university LGBTQ+ office for several years and researching other activists communities’ data and technical needs. I had no direct contact with any of the interview participants but their words and work truly made me cry at how other trans people are making this world a little better for us. Especially, as a trans young person of color, it was an honor to get to hear our elders talk about how they have fought and continue to fight and care for us.
Stevens’s statement is pretty much the same, except for the crying part. But is it any wonder that authors so deeply dedicated to a specific ideological aim are willing to allow distortion of data to achieve that aim?
On his site Reality’s Last Stand, Colin gives a succinct and, in my view, an accurate summary of the paper and its problems. Click below to read it:
I’ll give a few quotes, but if you like Colin’s analysis and work you should subscribe to his site.
Over the past few decades, universities have churned out a steady stream of papers so detached from reality that they often read like parodies. Many of them have been highlghted right here on Reality’s Last Stand: the infamous “feminist glaciology” paper that sought to “decolonize” ice; the surreal paper where two “hydrosexual” researchers married brine shrimp and made love to a lake; and the deeply disturbing pieces on “queering babies” and questioning childhood sexual innocence. Those were insane. Others—like those calling to “Indigenize” and “decolonize” medicine by rejecting the scientific method—are not just ridiculous, but genuinely dangerous.
Now, a new peer-reviewed article in Big Data & Society breaks new ground by openly arguing that lying with data is not only acceptable but morally required when it comes to transgender issues.
The paper, titled “Trans Data Epistemologies: Transgender Ways of Knowing with Data,” was written by Nikko Stevens, an assistant professor of statistical and data sciences at Smith College, and Amelia Lee Doğan, a PhD candidate at the University of Washington and research affiliate with MIT’s Data + Feminism Lab. What makes this paper truly remarkable is how the authors openly admit that “truth” in their work takes a back seat to politics. “Actionable and useful data for community care,” they write, is “the utmost priority over true, accurate, or verifiable data.”
They are so ideologically blinkered that they’re not even hiding the fact that they’re committing research misconduct. They’re openly celebrating it in a peer-reviewed journal. The very existence of “data activism” as an academic field shows just how thoroughly higher education has been captured by ideology.
. . .The paper presents this approach as a “trans data epistemology,” supposedly a new “way of knowing” based on “trans experiences.” The authors argue that “mainstream Western epistemology”—the normal way of doing science—has historically favored the perspectives of the dominant group—white, cisgender, heterosexual men.” Because there’s “no universal knowledge system,” they claim, “epistemologies based solely on the perspectives of one group are necessarily limited and incomplete.” Every group must therefore have its own truth, and the truth according to marginalized groups trumps all others.
In other words, they believe truth itself depends on identity. Instead of minimizing bias, as real scientists strive to do, these authors maximize it.
Colin goes through the four pillars of the new epistemology, which remind me of the indigenous “ways of knowing” capturing New Zealand. Colin views the new epistemology as “an assault on the scientific method itself, and it erodes public trust in the very institutions built to safeguard truth.” Note that this assault comes from the left flank of politics.
There’s a lot more, but I’ll just give Colin’s conclusion and, below that, one of my favorite quotes about science.
Colin:
Underlying all of this is the belief that scientific standards are oppressive. The authors proudly conclude that their “trans data epistemology stands apart from hegemonic values about data, in which data is a mimetic representation of reality [and] a way to discern truths about the world through big data insights.” The idea that “represent[ing] reality” with data is “hegemonic” is absurd.
It’s hard to overstate how blatantly this paper rejects the basic principles that make science possible. Principles that have slowly evolved over centuries to reduce bias and uncover truth. That this paper survived the gauntlet of peer-review at Big Data & Society—supposedly a top journal in the field by impact—shows just how far the academic world has fallen.
And Richard Feynman, on the Challenger disaster:
For a successful technology, reality must take precedence over public relations, for nature cannot be fooled.
The only silver lining to this dreadful paper is that hardly anybody will read it, as it’s buried in a rather obscure journal. On the other hand, people need to know stuff like this so they can see how real, objective science is going down the drain, washed away by the shower of ideology. And “regular” people are starting to realize this because some ideological nonsense, like the view that there is a spectrum of biological sex in humans, has made it into the public ear.
Shame on this journal, and shame on the peer reviews who denigrate truth in favor of politics.









