New Zealand government spends $2.7 million to test already-debunked indigenous theory about the effect of lunar phases on plants

July 30, 2023 • 9:45 am

We’ve already learned that, with respect to some indigenous “scientific” theories, the New Zealand government is willing to commit the “Concorde” or “sunk cost” fallacy, continuing to fund lines of inquiry even though those projects have already been proven wrong or unproductive. A particularly egregious example, which I’ve documented before (see here, here and here) is the NZ government’s handing out $660,000 (NZ) to Priscilla Wehi of the University of Otago to pursue claims that the Polynesians (ancestors of the Māori) had discovered Antarctica in the early seventh century. That claim was debunked by Māori scholars themselves, who discovered it was based on a mistranslation of an oral legend. The real discoverers of Antarctica were members of a Russian expedition in 1820. But Wehi was still given a big chunk of money to pursue a palpably stupid idea—only because it was based on an faulty indigenous legend.

The same thing is about to happen again, but this time involving more money. Now $2.7 million (NZ) has been given out to Māori workers to test (not really a “test”, as there’s no control) their notion that the phases of the moon affect plants to the extent that you can improve crop yield by planting and harvesting during certain propitious lunar phases.

This idea had already been debunked decades ago, but once again the Kiwis who hand out grants don’t care; they just want to proffer money to Māori, presumably as some form of affirmation of indigenous “ways of knowing”.

But read on about the government’s funding of Māori “tests” of the effects of lunar phases on planting. Is there a control that ignores Moon phases? Not that I see. Further, the data already exists in the literature to show that this endeavor is useless. It’s not a “test,” but a complete waste of taxpayers money.

This article is from a section of New Zealand’s most widely read newspaper, the New Zealand Herald. Note that “maramataka” is the Māori lunar calendar

Note that throughout the article there are reference to “positive results” of relying on the Moon’s phases for planting and harvesting, but no data have been published, and none are given. This is an exercise in confirmation bias, in giving money based on what people want to be true.

Using ancient Māori knowledge of moon phases has shown positive results on pasture growth and riparian planting resilience for Bay of Plenty farmers Miru Young and Mohi Beckham.

The farmers were among those who spent two days on historic Te Kūiti Pā being guided through the Māori lunar calendar at a first-of-its-kind workshop.

They were shown why moon phases can influence aspects of plant growth, seed-sowing effectiveness and the potency of healing properties in native plants that Māori farmers have used to counter illnesses in farm animals for decades.

“We’re not here to preach maramataka (lunar calendar) but encourage farmers to observe so they can utilise the tools around us,” said Erina Wehi-Barton.

“Using maramataka and traditional plant knowledge is about working smarter not harder.

. . .Erina is a mātauranga practitioner and project specialist/kairangahau Māori for the trial Rere ki uta rere ki tai.

Note the implication below that this is a controlled study: mātauranga, characterized as “Māori science” is to be tested alongside “Western science”. But that’s the only time you hear anything about a control, and I’m pretty sure there isn’t one. My bolding:

The Government-funded trial explores mātauranga — Māori science —alongside Western science and farmer knowledge to improve soil health.

It is one of three place-based projects awarded funding as part of the Revitalise Te Taiao research programme. Paeroa-based Rere ki uta rere ki tai has been allocated $2.7 million to test farming methods that aim to “enhance the mana and mauri of the soil” across 10 farms.

“Mana” refers roughly to “spiritual power”, while “mauri” means “life principle/vital essence”. Both are teleological words that have no place in science. But there’s more:

Erina said farmers already spent their days observing differences in pasture and forest growth through the seasons and were uniquely placed to gain insights over a lunar cycle. [JAC: where are the data?]

. . . The workshop came about after Erina visited Miru’s 80ha dairy farm in Pukehina, and had a conversation about maramataka.

Miru’s father Patrick and late granddad Steve had shared what they knew about maramataka, but the workshop allowed Young to learn more about each individual moon phase and how it might influence his farm.

“I grew up with maramataka from Dad and Koro (grandad), and Dad used it for gardening, hunting, fishing and diving. Now I do it for all of those, but I never thought about doing it for farming,” he says.

“What I do with fishing and diving is I write down what I get when I go out and what the moon phase is, then I know where to go back at what time. I saw patterns, more seasonal than anything.

“But with farming, I didn’t know how it might work because we use a contractor for planting, and he comes down when he’s ready, not when I’m ready.

“After I’d spent two years writing down my planting and the moon phases, I’d built a better relationship with my contractor, and I picked a better time to plant on, and now he’ll come then.”

Miru has recorded his observations that pasture was slower to get going at certain moon phases.

During the workshop on the marae, he talked with Wehi-Barton’s “ngahere parents” — who have taught her their knowledge of the forest — and related this to his experience hunting by the moon phase.

“I could see the patterns with hunting and diving.”

What patterns? Where are the data?

Fellow Bay of Plenty farmer Mohi Beckham grew up in a big family and learned from his mother who incorporated traditional Māori knowledge into her garden that helped sustain the whānau [extended family].

He has employed contractors who use the lunar cycle to guide riparian planting times on his brother’s Scylla Farm in Pukehina, a 208ha mixed dairy farm and orchard that he manages in the Bay of Plenty.

“We’re already doing maramataka on our farm through our planting of riparian plants, and the results they’ve had are amazing,” he says.

“The contractors only work in the high energy days of the lunar cycle, which is anywhere between 12 and 20 days compared to five days a week for conventional planting contractors. But the productivity is higher in the maramataka boys.

“A lot of our stuff has been under water this year and there’s a 93 per cent survival rate for their [maramataka] plantings. Usually, you are lucky when the survival rate is at 80 per cent.”

That’s about all the data we get, and it’s not only anecdotal, but not precise. They didn’t even record the observations! (my bolding)

Mohi says he hasn’t kept a diary to properly record observations, but had experimented with sowing pasture on different moon phases that are resting and dormant phases or high-energy phases for plant growth.

“Two years ago we planted some according to the best phase of maramataka and some a week before that high-energy period. The maramataka outgrew the first area sown, even though it was planted seven to 10 days later.”

Taranaki farmer Nick Collins, the farm engagement adviser for Rere ki uta rere ki tai, has used moon phases during his 18 years as an organic dairy farmer.

“With hay, we found it cures better on the new moon, or after the full moon, because there’s lower moisture levels in the pasture,” he says.

“Leading up to the full moon is the active phase, which was a good time for silage because we weren’t worried about drying the plant. But we found that with hay, it seemed to dry better when the plant has lower moisture levels, and that’s a waning moon.”

Note: the hay “seems to dry better”. When you hear stuff like that, remember Feynman’s remarks about the nature of science:

“The first principle is not to fool yourself – and you are the easiest person to fool.”

What we see above is simply an exercise in reinforcing self-foolery. And of course the newspaper doesn’t dare raise any questions about it.

But there’s really no need to waste this $2.7 million, because there are already many, many published studies examining whether the phases of the moon influence crop physiology or yield. They’re summarized in the paper below from journal Agronomy, published by MDPI. And the answer is that the lunar phases have no palpable effect on crop growth or yield, mainly because the influence of the Moon’s phases is simply too miniscule to affect plants. In other words, we already know that the studies above won’t show a positive effect, because similar work has already been tried.

Click the screenshot to read.

The authors did an extensive survey of the influence of lunar phases on plant physiology and, looking at all published studies, found no effect.

Here’s the abstract, which pulls no punches, noting that popular agricultural practices that are tied to lunar phases have “no scientific backing.” Did that stop the NZ government from handing out millions to farmers using indigenous “ways of knowing” based on those phases? Nope.

All bolding is mine.

Abstract

This paper reviews the beliefs which drive some agricultural sectors to consider the lunar influence as either a stress or a beneficial factor when it comes to organizing their tasks. To address the link between lunar phases and agriculture from a scientific perspective, we conducted a review of textbooks and monographs used to teach agronomy, botany, horticulture and plant physiology; we also consider the physics that address the effects of the Moon on our planet. Finally, we review the scientific literature on plant development, specifically searching for any direct or indirect reference to the influence of the Moon on plant physiology. We found that there is no reliable, science-based evidence for any relationship between lunar phases and plant physiology in any plant–science related textbooks or peer-reviewed journal articles justifying agricultural practices conditioned by the Moon. Nor does evidence from the field of physics support a causal relationship between lunar forces and plant responses. Therefore, popular agricultural practices that are tied to lunar phases have no scientific backing. We strongly encourage teachers involved in plant sciences education to objectively address pseudo-scientific ideas and promote critical thinking.

And the conclusion:

Conclusions

Science has widely established different evidences: (i) the Moon’s gravity on the Earth cannot have any effect on the life cycle of plants due to the fact that it is 3.3 × 10⁻⁵ ms⁻², almost 300,000 times lower that the Earth’s gravity; (ii) since all the oceans are communicated and we can consider their size being the size of the Earth, the Moon’s influence on the tides is 10⁻⁶ ms⁻², but for a 2 m height plant such value is 3 × 10⁻¹³ ms⁻² and, therefore, completely imperceptible; (iii) the Moon’s illuminance cannot have any effect on plant life since it is, at best, 128,000 times lower than the minimum of sunlight on an average day; (iv) the rest of possible effects of the Moon on the Earth (e.g., magnetic field, polarization of light) are non-existent.

The logical consequence of such evidence is that none of these effects appear in physics and biology reference handbooks. However, many of these beliefs are deeply ingrained in both agricultural traditions and collective imagery. This shows that more research should be undertaken on the possible effects observed on plants and assigned to the Moon by the popular belief, addressing their causes, if any. It would also be interesting to address these issues in both compulsory education and formal higher agricultural education in order to address pseudo-scientific ideas and promote critical thinking.

Well, the “research” being undertaken above is not scientific, as there’s no control—but perhaps “control studies” are an invidious artifact of “Western science”. Because of this, it doesn’t count as the “more research on possible” effects called for by Mayoral et al.

If this was a proposal submitted to the U.S.’s National Science Foundation, it would never be funded for two reasons: it flies in the face of what’s already established knowledge in agronomy, and preliminary studies haven’t been done to show that there’s a likely effect of lunar phases on crop yield.

Mayoral et al. also warn that studies like the one above border on “pseudoscience” and can pollute science teaching. I’d leave out the words “border on” and say “are pseudoscience.” From the Agronomy paper:

We are concerned about the insidious spread of pseudo-scientific ideas, not only in the field of plant science (which determines many of the behaviours, habits and techniques of many farmers in rural areas) but into the broader population through both formal and informal education. As science educators, we are especially concerned about the widespread belief in pseudo-science throughout the general populace and especially in science teachers. Solbes et al. showed that 64.9% of a sample of 131 future science teachers agree or partially agree with the expression “The phase of the Moon can affect, to some extent, several factors such as health, the birth of children or certain agricultural tasks”. [If they surveyed the Māori, the proportion would be higher than 65%.]

Given this worrying scenario, teachers must promote critical thinking as an essential part of citizenship development. . .

Is that going to happen in New Zealand? Again, not a chance. It’s considered “racist” to denigrate Māori practices or Māori “ways of knowing”. Yes, there are some empirical trial and error bits of knowledge in MM, but none of them are based on the kind of hypothesis-testing used by modern science. This study is just another bit of unscientific work. Further, it has the potential to damage Kiwi agriculture, basing it on traditional lore rather than hard scientific tests. And, as the authors note, it has the potential to damage the scientific education of New Zealand’s youth as well, for the government under PM Chris Hipkins is determined to teach mātauranga Māori in science classes as equivalent to modern (“Western”) science. (Note that science isn’t “Western”; it’s the purview of workers throughout the world.)

I was sent the Herald article by three separate New Zealand scientists who found it wrongheaded and foolish. One of them sent me a thoughtful take on it, which I reproduce with permission:

“If the proponents of this lunar phase proposal had a commitment to using both science and mātauranga Māori they would have done some homework on the relevant scientific literature beforehand. Rather, it appears that either they were happy to ignore existing scientific data that challenges their claims, or they believed the scientific data didn’t count because it wasn’t done from a mātauranga Māori perspective. It is currently unclear in epistemological terms what would constitute a legitimate test in mātauranga Māori. Another important question is whether there is a commitment to publishing negative results of the proposed work

Framing this as “Western science” versus mātauranga Māori thus opens the door to ignoring previous work. This will lead in many cases to wasteful duplication of previous research, some of which should disqualify proposals based on discredited ideas. This is the point that Jonathan Rauch makes in “The Constitution of Knowledge” about the importance of societies having to agree on a common set of facts. Once we abandon that, as we must if we buy into postmodernist cultural relativism, we’re condemned to some form of process argument based on political power. This would inevitably involve direct comparisons between mātauranga Māori and science that would benefit no one. Much better to treat each as distinct and of value for different reasons. Many proponents of mātauranga Māori agree that it is distinct from science, but if that is the case why is it being taught and funded as science?

One obvious difference between the two is the epistemological commitment to testing hypotheses that is inherent in science. Both mātauranga Māori and science involve careful observation. Science generally also involves some form of test or experiment. Proponents of mātauranga Māori may argue that trial and error counts as this, at least to some extent. What science seeks that mātauranga Māori does not is an additional layer of understanding: causal explanations based on theories of mechanism. This is the difference between science and technology. The latter just needs to work. We don’t necessarily need to know why. However, distinguishing between cause and effect is a key component in science, and this involves distinguishing between causal factors and correlation. Maramataka is a very detailed body of knowledge based on seasonal and lunar correlations, but it doesn’t explain why things happen at certain times, only that certain events coincide. The flowering of the pohutukawa tree doesn’t cause the gonads of sea urchins to ripen and thus become good to eat: the two events are both driven independently by environmental temperature. Inductive reasoning can be effective at making predictions under constant conditions, but when things change, as they are under climate change, such patterns are likely to become increasingly unreliable.”

It’s time for New Zealand’s scientists, both Māori and non-Māori, to stop this nonsense. Indigenous knowledge has its place, but it’s not equivalent to modern science. And the taxpayers of New Zealand continue to throw millions of dollars away on worthless studies funded only to propitiate the indigenous culture. Is that worth destroying science in New Zealand? After all, this $2.7 million could have gone for real science or medical research instead of trying to prop up a confirmation bias based on spirituality and tradition.

The National Science Foundation budgets millions to fight a problem not demonstrated to exist: systemic racism in STEM

July 24, 2023 • 11:30 am

The other day I posted about what I saw as a divisive and ineffectual paper published in Nature Chemistry, a paper called “Critical Race Theory [CRT] and Its Relevance for Chemistry.” The author wasn’t a chemist, but rather an educational psychologist at the University of Illinois at Chicago. Nor did the paper have anything to do with improving chemistry: its thesis was that inequity of minority representation in chemistry was due to ongoing structural racism, and these inequities could be repaired only by thoroughly imbuing chemistry instruction with CRT. (As one colleague noted, ““I wonder what would happen if chemists started writing papers about the need to use the scientific method in education, and published them in top educational journals.”)

At any rate, other colleagues looked up the author’s c.v., and found that he’d garnered a huge amount of funding from the National Science Foundation (NSF). Here are the grants listed.

National Science Foundation: 2140901, Collaborative Research: EHR Racial Equity: Examining Blackness in Postsecondary STEM Education through a Multidimensional-Multiplicative Lens. Education and Human Resources Directorate, $8,826,392, Principal Investigator

National Science Foundation: 2217343, RCN-UBE: Deepening and Expanding the Mission and Outcomes of the Re-Envisioning Culture Network. Division of Biological Infrastructure, $500,000, Principal Investigator

National Science Foundation: 2100823, Community for Advancing Discovery Research in Education (CADRE): Expanding the Reach and Impact of Innovations in STEM Education. DRL – Discovery Research K-12, $3,307,943, Co-Principal Investigator

National Science Foundation: 2020709, Louis Stokes Regional Center of Excellence for the Study of STEM Interventions. Division of Human Resources Development, $1,000,000, Co-Principal Investigator

Total: $13,634,335

The researcher’s papers are also listed on the c.v. page, and you can check them out for yourself.

To some scientists who strive (and usually fail) to get NSF grants for doing “regular” science, this whopping pot of money, aimed at achieving equity in STEM, seemed unfair. (Note: I was always funded not by the NSF, but by the NIH.) At the expense of finding out more about the universe through genuine science, the NSF is busy engaged in achieving social justice. And to do that, it appears, as you’ll see below, that they’re spending a lot of money on “solutions” that in all probability are useless.

Well, you can respond that “It’s the NSF’s job to evaluate these proposals, not the job of other government agencies. After all, the NSF evaluates proposals scientifically, and who better to judge ways to reform STEM?” That’s all well and good, but it’s reasonable to suspect that the standards for evaluating proposals like those above and below may be more lax than evaluating regular science.

But what I want to emphasize here is that the NSF is busy evaluating proposals to study a problem that is likely not even a problem: the problem of “systematic” (or “structural”) racism in STEM, which probably doesn’t exist. Yes, scientists can be racists, but “systematic racism” comprises features of science that are installed and maintained to keep minorities out. As everyone in science now realizes, the field is falling all over itself competing to hire minority professors and students, and this argues against the idea that science is trying to keep minorities out. In fact, it’s just the opposite!

A scientist sent this email after seeing the grant windfall above (and the existence of many other NSF programs addressing “structural racism” in the sciences, like the one below):

In the last couple of years, NSF established a $25 million program to fight systemic racism in science. Not to find out if there IS systemic racism, not to document it. No, that was assumed. This is to fight something that hasn’t even been demonstrated to exist. If I based a research program entirely on an untested assumption, with no intent to actually test it, I’d be laughed out of the profession.

Everyone knows how hard it is to get funding for doing science. But peddling CRT under the guise of science education — a windfall. This partially explains why universities are willing to hire these people.

Here you can read about that $25 million program (actually, it says the funding will be between $15 million and $25 million), and its aim to dismantle structural racism. Click on screenshot below:

It’s a long solicitation, and you can read it yourself, but note in the excerpts below the emphasis on the importance of addressing “systemic racism” in STEM, as well as the aim to advance equity (proportional representation). The assumption is that systemic racism is the cause of inequity. The guidelines for the proposal are much longer than this, but you can see the implicit assumption that science is riddled with built-in forms of racism.

Bolding is mine (I haven’t bolded “inequities” as it would be too confusing, but note the word):

All proposals should conceptualize systemic racism within the context of their proposal and describe how the proposed work will advance scholarship of racial equity and address systemic racism

All proposals should have a knowledge generation component.

All proposals should be led by or in authentic partnership with those who experience inequities caused by systemic racism.

All proposals should center the voices, knowledge, and experiences of those who experience inequities caused by systemic racism.

. . . Collectively, proposals funded by this solicitation will: (1) substantively contribute to institutionalizing effective research-based practices, policies, and outcomes in STEM environments for those who experience inequities caused by systemic racism and the broader community; (2) advance scholarship and promote racial equity in STEM in ways that expand the array of epistemologies, perspectives, ideas, theoretical and methodological approaches that NSF funds; and (3) further diversify project leadership (PIs and co-PIs) and institutions funded by NSF.

. . .Efforts to address systemic racism in STEM education are complementary to NSF’s efforts in Broadening Participation in STEM. The portfolio of projects funded by this program should be diverse in theoretical approaches, epistemologies, and methodologies, yet all proposals should 1) conceptualize systemic racism in the context of the project, 2) be led by or in authentic partnership with communities impacted by systemic racism, and 3) articulate a rigorous plan to generate knowledge and/or evidence-based practice via fundamental or applied research.

Conceptualizing Systemic Racism: EDU recognizes that systemic racism is multifaceted and can be addressed in various ways, requiring varied approaches and diverse perspectives. Approaches may include but are not limited to how systemic racism influences STEM knowledge generation, STEM participation and experiences, and access and outcomes in STEM. As the constructs of systemic racism and racial equity may have different meanings in different settings, each proposal should conceptualize systemic racism within the bounds of the project context and indicate how racial equity is advanced by the proposed work. Contexts may include, but are not limited to: preK-12, two-year and four-year undergraduate, and graduate institutions; municipal organizations; STEM workplaces; and informal STEM contexts, such as museums, community organizations, and media.]

. . .Solicitation-Specific Review Criteria: For all Racial Equity projects, the proposer can decide where to include the information that addresses the following questions:

How does the proposal conceptualize systemic racism with respect to the proposal topic or context? In what ways will the proposed work advance scholarship of racial equity and address ssystemic racism?

In what ways are the voices, knowledge, and experiences of those who experience inequities caused by systemic racism are at the center of the project?

How is the project led by or in authentic partnership individuals and communities who experience inequities caused by systemic racism?

I’m calling attention to this just to show you how the NSF, which is part of the government, is using taxpayer dollars in what is likely to be a futile exercise in social engineering.

And, once again I hasten to add that scientists can be racists, and that might act to prevent minority scientists from succeeding. If that is the case, it’s reprehensible and should be addressed. But before you conclude that any racism is “systemic,” you’d better ensure that such is the case. As Davy Crockett said, “Be always sure you are right – then go ahead.”

National Institutes of Health violates academic freedom, restricts dissemination of taxpayer-funded research

October 21, 2022 • 9:20 am

This article just appeared in the (conservative) City Journal, and is written by James Lee, a behavioral geneticist at the University at Minnesota. What Lee reports made steam issue from under my collar, for he claims that the National Institutes of Health, a U.S. government science institute, has a huge genetics and “trait” database of several million Americans. The genetic data appear to be thorough, based on genome scans, and the traits associated with each person’s genome include education, ethnicity (“race”), intelligence, income, and occupation. You can imagine how rich that dataset is for mining. And yet the NIH is restricting scientists’ access to the data to projects it apparently considers ideologically kosher.

Remember that the NIH is completely funded by the American taxpayers, so those data were accumulated with our money. To me, this means that any researcher with a valid project should have access to the data. But apparently some projects are more valid than others.

Click to read.

Here’s Lee’s description of the hard time geneticists have in getting the data when their project sounds “iffy”, and by that I mean any project that has to do with heredity and intelligence (presumably IQ or a similar measure). Note that none of the attempts to get the data have been to do projects on ethnicity and IQ, which of course are considered taboo by many (readers may want to either echo or refute that taboo). Check out the second paragraph of the excerpt below, which I’ve put in bold.

American geneticists now face an even more drastic form of censorship: exclusion from access to the data necessary to conduct analyses, let alone publish results. Case in point: the National Institutes of Health now withholds access to an important database if it thinks a scientist’s research may wander into forbidden territory. The source at issue, the Database of Genotypes and Phenotypes (dbGaP), is an exceptional tool, combining genome scans of several million individuals with extensive data about health, education, occupation, and income. It is indispensable for research on how genes and environments combine to affect human traits. No other widely accessible American database comes close in terms of scientific utility.

My colleagues at other universities and I have run into problems involving applications to study the relationships among intelligence, education, and health outcomes. Sometimes, NIH denies access to some of the attributes that I have just mentioned, on the grounds that studying their genetic basis is “stigmatizing.” Sometimes, it demands updates about ongoing research, with the implied threat that it could withdraw usage if it doesn’t receive satisfactory answers. In some cases, NIH has retroactively withdrawn access for research it had previously approved.

Note that none of the studies I am referring to include inquiries into race or sex differences. Apparently, NIH is clamping down on a broad range of attempts to explore the relationship between genetics and intelligence.

It’s hard to believe that the NIH is restricting data that might be used to show any relationship between genes and intelligence, even within one ethnic group. We already have data on genes implicated in academic achievement (which is correlated with IQ); those data are a big part of Kathryn Paige Harden‘s book The Genetic Lottery: Why DNA Matters for Social Equality, a book I reviewed for the Washington Post and also discussed on this website. As I recall, Harden’s genome-wide association study found nearly 1300 genomic sites associated with variation in academic achievement among the American European (“white”) population. Intriguingly, many of those sites were active in the brain. That in itself is of considerable interest, though Harden’s claim that this variation would help us create “level playing fields” for secondary-school students seemed unjustified. But even finding genes associated with intelligence would tell us a lot about the developmental genetics of an important human trait.

Lee also explains why the NIH should NOT be a censor of valid research projects:

What is NIH’s justification? Studies of intelligence do not pose any greater threat to the dignity of their participants than research based on non-genetic factors. With the customary safeguards in place, research activities such as genetically predicting an individual’s academic performance need be no more “stigmatizing” than predicting academic performance based on an individual’s family structure during childhood.

The cost of this censorship is profound. On a practical level, many of the original data-generating studies were set up with the explicit goal of understanding risk factors for various diseases. Since intelligence and education are also risk factors for many of these diseases, denying researchers usage of these data stymies progress on the problems the studies were funded to address. Scientific research should not have to justify itself on those grounds, anyway. Perhaps the most elemental principle of science is that the search for truth is worthwhile, regardless of its practical benefits.

NIH’s responsibility is to protect the safety and privacy of research participants, not to enforce a party line. Indeed, no apparent legal basis exists for these restrictions. NIH enforces hundreds of regulations, but you will search in vain for any grounds on which to ban “stigmatizing” research—whatever that even means.

This is a no brainer. The NIH has NO business vetting the “political correctness” of research, and since nobody is investigating The Taboo Question—racial (or “ethnic” differences in intelligence—that issue doesn’t even come up. The only reason to prohibit “genetics of IQ” studies is a strict (almost Marxist) anti-hereditarianism based on the fear that there may be a genetic basis to differences in IQ. But we already KNOW that from studies of adoptions and relatives, which show that about 50-60% of variation in IQ among people is due to variation in their genes. The NIH appears to be afraid of being canceled. That is a hell of a way to do scence!

And I can’t imagine why the NIH would even think of restricting the data for any other studies. It seems to be IQ that’s the sticking point here, and that’s unconscionable. The data belong to the American public, and to American scientists, because the American public paid for it.

I’ve always object to the demonization of research that gives results that are politically or ideologically unpalatable, but this goes beyond the pale. The government cannot withhold data paid for by us on the grounds that it might yield results that could offend people.

If a researcher has a valid reason to request these data, and the NIH refuses because of possible “stigmatizatization,” then I would say that a lawsuit is in order.

Once again science is used as a tool for enacting ideological programs

October 16, 2022 • 9:30 am

The Department of Energy (DoE) hands out a substantial number of grants for research (mostly in physics), as well as for science meetings. Here is their latest announcement about what you have to do if you want the DoE to help fund your conference.

You know what’s coming: when applying for funds, you have to submit a statement that you will increase the “equity” of speakers above that represented in the scientific community involved in the meeting, and have a plan in place, announced to attendees, that will “address discrimination and harassment.”

Here’s the announcement (indented), which you can see by clicking on the link. I’ve put some parts in bold.

Conference Proposals

Beginning in FY 2023, applications submitted to the Department of Energy (DOE) Office of Science (SC) requesting funding support for conferences will have additional requirements that must be included with the application.

The following language included in the FY 2023 Continuation of Solicitation for the Office of Science Financial Assistance Program Funding Opportunity Announcement defines the new requirement:

Conferences

Consistent with SC’s Statement of Commitment, SC does not tolerate discrimination or harassment of any kind, including sexual or non-sexual harassment, bullying, intimidation, violence, threats of violence, retaliation, or other disruptive behavior at institutions receiving SC funding or other locations where activities funded by SC are carried out. Further, SC is committed to advancing belonging, accessibility, justice, equity, diversity, and inclusion across the portfolio of activities it sponsors. For applications requesting SC funds for the purpose of supporting (hosting) a conference, symposium, or workshop, the meeting must have a policy or code of conduct in place that addresses discrimination and harassment, including sexual harassment, other forms of harassment, and sexual assault, and that includes processes for reporting complaints and addressing complaints. The policy or code-of-conduct must be shared with all participants prior to the conference, symposium, or workshop (hereinafter the ‘meeting’) and made easily available.

Applications must include:

An online link to the current code of conduct of the host organization for the meeting, or the link to where the code of conduct will be posted. If a code of conduct has not yet been established by the meeting organizers, the application must describe the process and timeline by which a code of conduct will be written, approved, and endorsed.

A recruitment and accessibility plan for speakers and attendees that includes discussion of recruitment of individuals from groups underrepresented in the research/professional community associated with the technical focus of the meeting, and discussion on plans to address possible barriers for attendees, including but not limited to physical barriers.

This is not as invidious as the platform Jon Haidt recently reported for the Society for Personality and Social Psychology, which requires every speaker to include a rationale of how their individual talk would advance DEI. As Haidt wrote then:

. . . all social psychologists are now required to submit a statement explaining “whether and how this submission advances the equity, inclusion, and anti-racism goals of SPSP.” Our research proposal would be evaluated on older criteria of scientific merit, along with this new criterion.

Informed that the SPSP would not back down on this requirement, Haidt announced he would resign.

Now I’m not adamantly opposed to amplifying the voices of those who are underrepresented in science, but I would suggest that all talks be judged on merit and suitability alone, with the diversity issues perhaps addressed in a separate symposium representing different viewpoints. And if two proposed talks are equally qualified, I have no issue with choosing ones from women, Hispanics, blacks, and so on. This does constitute a form of affirmative action, but it is not one that lowers the bar for scientific quality. (Another method is to leave the names of proposed speakers and their affiliations off proposals, which ensures equality if not equity.)

Rather, I’m concerned with the last sentence requiring “discussion on plans to address possible barriers for attendees, including but not limited to physical barriers.” What does this mean? My first thought was to assure the grant-givers that there would be facilities for the handicapped (i.e., elimination of physical barriers), but that doesn’t appear to be the case. If you amplify the voices of minorities by deliberately choosing some minority speakers who are as well qualified as non-minority speakers, then you have eliminated one barrier—discrimination on the grounds of sex or race. What else can the meeting do beyond this? What is the sweating DoE trying to say?

But in some ways I’m more concerned with the paternalistic “codes of conduct” that are becoming increasingly elaborate at meetings, to the point where they may have reduced possible collaborations between men and women scientists. My view is that a simple statement like this would suffice in a conference announcement:

“If anyone witnesses or feels they are a victim of harassment or sexual misconduct, please report this to X.”

But it has gotten to the point where meetings spend a lot of money hiring professional “conduct consultants” to monitor behavior. If you want to see how elaborate they can get, have a look at the “Safe Evolution” page of last June’s joint meeting of the Society for the Study of Evolution, the American Society of Naturalists, and the Society of Systematic Biologists, which includes four sub-pages on inappropriate conduct, reporting procedures, and so on. These elaborate procedures wind up infantilizing scientists, all seen as potential predators. It’s especially galling that almost no objectionable conduct actually occurs at such meetings, and societies already have procedures in place to deal with it.

The worst part of this joint meeting is the presence of “Evo Allies”. This is a synonym for “conduct spies”, society members with tags who roam about the conference halls and poster presentations, overhearing conversations and looking for inappropriate behavior. They are empowered to report such behavior even if no participants do:

Started in 2019, Evo Allies are members of our community who have been vetted by a safety officer and trained to help support individuals who have experienced or witnessed potentially inappropriate behavior during the conference, including informing them of their options. They commit to creating safe spaces at the meeting by serving as active bystanders. The inspiration for this program came from the https://entoallies.org program.

Anyone, whether an Evo Ally or not, can make a report directly to the meeting safety officer for investigation; Evo Allies are not involved in investigation nor sanctioning, but instead serve as peer supports and help to make the meeting a more welcoming place.

Evo Allies are chosen through a nomination and vetting process; we anticipate that the next call will be for the 2023 meeting. Any vetting process is imperfect; if you have concerns about any Evo Ally, please reach out to the meeting safety officer.

In other words, the Big Brothers have to be Big Brotherized as well!

This Big Brotherism will result in chilling speech and behavior that can be inimical to scientific discourse. If you doubt that, read Luana Maroja‘s piece at the Heterodox STEM forum, “Extreme emphasis on sexual harassment stifles productive scientific discourse between men and women.” She went to the 2019 meetings of the three societies named above and reports this:

In 2019 my professional society (The Society for the Study of Evolution – SSE) hired a consultant to help “prevent sexual harassment at the [annual] conference.” The initiative consisted of training volunteers to be “allies” (they got buttons and walked among us signaling their role as meeting police), projecting messages (powerpoint slides) on the walls of the poster session saying “stop harassment now,” and putting posters in all bathrooms along with anonymous boxes for depositing complaints about harassment. This came at a cost: about $10 dollars increase in registration fees per participant, resulting in tens of thousands in the consultant’s pocket. But aside from cost, are these initiatives a net positive or a net negative for scientific interactions?

I have been attending the SSE meetings since 2003. Compared to conferences in my home country, Brazil, SSE conferences were a paradise – nobody ever grabbed my rear end, said nasty things in my ear or followed me around. Yes, there was the normal degree of flirting, but it was polite, with people backing off when they were rebuffed. Perhaps I have thick skin, but I don’t think anyone would say that serious harassment or sexual violence were commonplace at the American meetings, and there were already procedures in place—involving both the local police and the conference administrators—to deal with serious offences. Many people think it’s a good thing to raise awareness about even minor actions that might be perceived as unwanted attention. But is it?

When I saw what the organizers were doing, I was immediately concerned about the chilling effect it would have on interactions between the sexes. In my life I have benefited from great relationships with my male advisor and other senior male researchers. I would not want men to be afraid of talking, interacting and collaborating with me merely because their actions might be misinterpreted. Wondering if men were actually more cautious about interacting with women and in particular junior women (in general, not only at conferences), I started asking around. As I expected, many men secretly confided to me that yes, they do not volunteer to mentor junior women and are circumspect when talking to junior women PhD students out of fear of misinterpretation. I could swear I even saw people taking a step back as the “police allies” walked past them! However, my sample is not only small, but biased – I could ask only men I already knew well and was friendly with, not a random sample of the research population. But now we have data – the first study looking at the effects of the #MeToo movement on female research collaborations in economics: Gertsberg, Marina, The Unintended Consequences of #MeToo: Evidence from Research Collaborations (May 10, 2022). Available at SRN: https://ssrn.com/abstract=4105976 or http://dx.doi.org/10.2139/ssrn.4105976.

Maroja then presents evidence (not dispositive but correlative) that the #MeToo movement was significantly associated with a reduction of new collaborations between male and female scientists, particularly (as would be expected) for scientists within rather than between institutions. If this is an effect of fear of accusations, then it’s inimical to scientific collaboration, especially to women. As Maroja notes,

The data shows clearly that new collaborations are strongly and significantly reduced inside institutions (where the fear of harassment accusations will be highest). The paper also shows that, where the fear is highest (in institutions where harassment accusations are common and policies are vague), the reduction in collaborations is also higher.

This represents a huge loss to both men and women, but it especially harms women. Indeed, the academic output of females fell significantly after #MeToo (a decrease of between 0.7-1.7 projects per year, with the loss in male collaborators explaining 60% of this decline), while the output of males did not (they were apparently able to find other male collaborators). This decrease in collaboration is apparently also happening in other fields, such as fundamental physics [she then gives more data]. . . .

Now nobody here, including Maroja and me, is saying that men shouldn’t be punished for sexual harassment of women (and vice versa), nor that people should not be aware of the consequences of such behavior. The point is that this kind of policing has gone too far at scientific meetings, to the point where roving spies are empowered to report suspicious incidents. Scientists should not be treated like potential criminals or harassers. As Maroja notes,

It’s clear that well-intentioned actions (protecting women from harassment) can be taken too far. I hope that our scientific professional societies will absorb these data and start taking steps to bring people together rather than separate them. Good starts would be clarifying harassment policies and keeping “harassment consultants”, who profit from promoting the idea that harassment is everywhere, out of conferences. Another important step would be to eliminate anonymous complaints, which set the bar for a complaint too low and can be used for revenge and to bring down competitors and enemies. Both of these effects lead men to worry about what they might be accused of and to thus limit interactions with women. Finally, any sexual harassment judgements should only be made after a pre-defined, fair process where the accused can challenge the accuser– a person should be considered innocent until proven guilty.

I’ll finish by saying that while it’s the government’s responsibility to help the disadvantaged of society, regardless of race or sex, that help must be more than performative or superficial. It must involve expensive, long-term interventions by the government, like Lyndon Johnson’s “Great Society” program. I approve of these, as it’s really the only way to open the “intake valve” of the pipeline to success. Requiring talks or meetings to have a specific ideological bent is far less helpful, and in some ways can be counterproductive. The purpose of scientific societies is to advance science and its communication, not to further the goals of progressive politics.

*******

UPDATE: I just found an op-ed piece on the DoE policies by Lawrence Krauss at the Wall Street Journal (where else could it be published?): “Now even science grants must bow to ‘equity and inclusion”. He mentions the meeting policies noted above, but also says that the DoE now requires “equity and inclusion plans” in every grant proposal:

Starting in fiscal 2023, which began Oct. 1, every proposal responding to a solicitation from the Office of Science is required to include a PIER plan, which stands for Promoting Inclusive and Equitable Research, to “describe the activities and strategies of the applicant to promote equity and inclusion as an intrinsic element to advancing scientific excellence.” In the words of the announcement, “The complexity and detail of a PIER Plan is expected to increase with the size of the research team and the number of personnel to be supported.”

He adds that none of his own past work funded by the DoE had anything to do with diversity and inclusion, but were concerned with scientific questions involving gravity waves, dark matter, and other intriguing issues. Now he, like everyone else who wants a DoE grant, will have to dissimulate to get money:

Scientists will respond to these new demands with boilerplate to the effect that they will make every effort to seek graduate and postdoctoral students from minority communities and encourage new outreach programs. This is lip service at best; it doesn’t address true societal issues of inequity. People qualified to work in these esoteric areas have all gone to good graduate schools and carried out credible research projects. They may be minorities, but they haven’t been marginalized. They are thus not appropriate targets for what should be useful societal diversity initiatives.

It is the job of government agencies, and not ones concerned with advancing science, to carry out such political policies. If we’re going to turn scientists and their societies into arms for achieving approved societal aims, why do they always involve racial or gender “equity and inclusion”? Why not deal with socioeconomic issues, which include marginalized racial and gender groups, or with the disadvantaged in other countries—something that our government already has as a primary goal?

Better yet, why don’t we let scientists and scientific societies do what they do best—find out stuff about the universe and report it—and let government policies be carried out by the appropriate agencies? Diverting the efforts of scientists to fixing societal issues turns us into arms of public policy, detracting from what we are trained to do best: science.

h/t: Anna

More ideological bias: the National Science Foundation gives grants for people to document what the NSF already claims to know

September 25, 2022 • 11:15 am

You can argue about whether the purview of the National Science Foundation (NSF) should include investigating whether American science and science education are “systemically racist” in addition to doing what the NSF normally does—funding science itself. I won’t argue that, since I think that the NSF does fund sociology, and I suppose science is as good a field for sociological investigation as any other.

But I will argue—and what I discuss hre—is that the NSF isn’t calling for investigations of whether systemic racism is an important impediment to education and professional advancement in STEM. No, the NSF assumes that this is true, and then throws money at investigators to figure out how to remedy a problem that hasn’t yet been demonstrated.

In other words, the NSF claims to already know that not only is systemic racism real and prevalent in STEM, but is also the overweening cause of the inequities in representation.

This is question-begging in the authentic sense—assuming what you want to demonstrate. And I take “systemic racism in STEM” to mean the presence of ingrained features in STEM that cause discrimination against people (it could be any group, but they’re talking about racial discrimination). “Systemic racism” does not mean that “STEM has bigots”—all fields, do, of course—but rather that education in science, math, engineering, and technology have built-in features that discriminate against minorities and women. And that’s why those groups are underrepresented in STEM studies and among STEM academics.

Many NSF-funded scientists were sent a link to a new program solicitation for “racial equity in STEM” education, which has a pot of money between $15 million and $25 million. The goal is to show how systemic racism impedes STEM education and then how to overcome these impediments. The program assumes there’s systemic racism in science and science education, something that many scientists would contest, especially in view of the eagerness of many science departments to recruit minority students and faculty, sometimes giving them advantages over non-minorities. (Not long ago the National Institutes of Health started a program that gave minorities preferential access to grant money, but then quickly dismantled it when I think they realized it was illegal.)

Before I show you this question-begging, let me add that the goal—to give historically disadvantaged minorities a leg up in education—is admirable. But before you do that, you have to figure out exactly how the disadvantages act to reduce STEM participation. And, as I note just below, “systemic racism” is one of just several potential causes for underachievement. Especially for a science organization, you cannot assume that systemic racism is THE cause. That has to be demonstrated, not assumed. But the NSF assumes and doesn’t demonstrate.

At any rate, here’s the proposal, sent by a colleague who was surprised that an organization that gives money for scientific research assumes from the outset that “systemic racism” is ingrained in STEM, so that there is no need to

a. demonstrate that this is true using an explicit definition of “systemic racism”, and

b. further demonstrate that systemic racism is the cause for inequities of representation of minorities in STEM. As you know, there are other possible reasons, including “pipeline problems” based on unequal opportunities that start at birth and lead to educational deficits, as well as differences in career preference of different groups.

Click on the screenshot to see the program announcement.

I’ve taken some excerpts. Here is the “Important information” at the beginning of the announcement. I’ve highlighted “systemic racism throughout” so you can see how it’s assumed. Note that three of the four requirements assume systemic racism exists and is important in cause unequal representation.

I presume that “led by or in authentic partnership” means that proposals should have principal investigators that are minorities or at least collaborators. While you can’t investigate racism without studying minorities, this may be code for saying “we will favor proposals by minority Principal Investigators.” But they can’t say that outright because it’s illegal, just as it was with the NIH.

The rationale for the study, which is fine. Every American should have an equal opportunity from birth to study science and become a scientist. That doesn’t assure equity, of course, but it does assure equal opportunity.

The NSF Strategic Plan focuses on ensuring that U.S. research is an inclusive enterprise that benefits from the talent of all sectors of American society – a research enterprise that incorporates the rich demographic and geographic diversity of the nation. The strategic plan recognizes that the more people who engage in science, technology, engineering, and mathematics (STEM) research and the more diverse their backgrounds, the richer the range of questions asked. The result is a greater breadth of discovery and more creative solutions

The assumption that inequities are due to systemic racism:

There will be a total of 15-35 awards given, each award can be for up to five years, and you can ask for up to $5 million.

Note the big problem: they explicitly and repeatedly ascribe inequities (unequal representation of racial groups in proportion to their presence in the American population) to systemic racism. This is an assumption, not a fact. And in truth, you cannot even begin such projects without a demonstration of what role ingrained features—and exactly which ingrained features—of STEM impede education in the sciences. Perhaps the NSF should use that $15-$25 to investigate the contribution of various factors to inequities. But that, of course, is taboo, because progressive doctrine already tells us the answer without any need for empirical investigation. It’s revelation, Jake! Or at least ideology.

More from New Zealand, a nation whose science is circling the drain

January 23, 2022 • 12:00 pm

I’ve written a lot about New Zealand lately, in particular the schools’ and government’s attempt to force the teaching of “indigenous ways of knowing” (mātauranga Māori) into the science classroom as a system coequal in value with modern science. That means not only equal classroom time, but equal respect, treating indigenous ways of knowing as complementary if not identical to “scientific truth”. Note that I’m not dismissing the value of mātauranga Māori (henceforth “MM”) in some spheres, even science. For MM contains “practical knowledge”, like how to catch eels, that could conceivably be inserted into science courses.

And of course MM s the worldview of the indigenous people, and thus an important part of the history and tradition of New Zealand. It thus deserves to be taught in anthropology or sociology classes. But the science within MM is precious little compared with the larger titer of myth, legend, superstition, theology, and morality that are essential to MM. This other stuff is not a “way of knowing” and thus cannot be taught in science classes. Note as well that MM is also explicitly creationist. Do Kiwis really want to confuse students by telling them that Māori creation myths are just as “scientific” as is biological evolution? Teaching MM as science is just as fraught as teaching any indigenous “way of knowing” as science: it’s a pathway that leads inevitably to the degeneration of science education in a country.

If you want to see what’s in store for New Zealand’s secondary schools and universities, have a read of the brochure below (click on screenshot to get a free copy), which is the University of Auckland’s “five year and ten year plans” for where it wants to go vis-à-vis education and reputation. I’ve read it twice, and have concluded four things:

a. There’s no “there” there: it’s all a bunch of chirpy aspirations about making the University a world thought leader, but without any tangible steps for doing so. I’ve rarely read a “plan” so devoid of content.

b. It’s abysmally written and loaded with Māori words that you can’t understand unless you’re fluent in the language (have a look, for instance, at the title).

c. It’s basically a plan for handing over half the curriculum and its planning to Māori, including teaching MM, though they constitute only 16.5% of the New Zealand population (Asians are 15.3%).

d. There is nothing at all about science in the plan except this lame quote from the “research and innovation page” of aspirations:

Be a research partner of choice for industry, policymakers and community organisations.

• Review promotion and reward systems to appropriately recognise the value of a range of research endeavours.

• Upskill and build capability of staff and students in research impact, engagement and science communication.

(“Upskill”? Is that a word.?) At any rate, you get the sense from the above of what’s in this screed: a lot of fine-sounding words without any substance. In fact, the one mention of science I’ve just quoted is the ONLY time that word is used in the entire 28-page vision statement, while the words “mātauranga Māori” are used six times. That’s way more than “coequal”!

The sole mention of science:

One of six mentions of MM:

And what kind of vision plan says nothing about science education?

The deep-sixing of modern science in NZ is pretty much a done deal, as the Ardern government has decided that the initial agreement between the “Crown” (settlers) and the Māori—embodied in the 1840 Treaty of Waitangi, known in Māori as “Te Tiriti”) should be interpreted as meaning that Māori should ultimately get not just equity (since they’re a minority of Kiwis), but extra equity: half of the money and half of the power.

Now pushback by minority groups everywhere is largely about power, which is fine because oppression is a withdrawal of power. But my reading of the government’s push is that power is to be apportioned to indigenous people so that they get at least half the say in everything.

It’s as if the government of the U.S. decided that Native Americans got not only half the research funding for science, but half the say in teaching their “way of knowing” in science classes. This just won’t do, as times have moved on. MM rarely changes, and most of it cannot be falsified, while science steams its way forward. This is not to say that Māori shouldn’t have more power than they do already (I can’t speak to that), but that the government of New Zealand apparently is so ridden with guilt that it’s ready to hand over its science and its universities—not to mention its dosh—to Māori or to anybody who claims Māori ancestry.

The money issue had escaped my mind until I read the article below, which appears at a reputable website (Point of Order) and was written by a reputable journalist, Graham Adams. His point is that the drive to establish hegemony of MM has as a main goal the acquisition of money for Māori-centric research (I know of examples of this, but they’re quite trivial)—in fact, half of all money allocated for research. If you want to hurt scientific progress in New Zealand, that’s a good way to do it. One can of course—and should—try to interest Māori in modern scientific endeavors, but that’s not what Adams is talking about.

An excerpt (my emphasis):

The incendiary stoush was sparked last July by seven eminent professors stating in a letter to the Listener that indigenous knowledge is not science and therefore does not warrant inclusion in the NCEA syllabus as being equal to science.

Yet in the five months since the letter was published, virtually no one among those opposing the professors has argued convincingly that mātauranga Māori is scientific (even if some small elements of it could be called proto-science or pre-science).

On the face of it, the debate by now should have been declared a clear win for the professors and their supporters. In rebuttal, their principal critics — including the Royal Society NZ, Auckland University Vice-Chancellor Dawn Freshwater, the Tertiary Education Union and prominent Covid commentators Drs Siouxsie Wiles and Shaun Hendy — have not gone beyond asserting that mātauranga Māori is a valuable and unique system of knowledge that is complementary to science.

This view is not contentious in the slightest — and was explicitly endorsed by the professors themselves in their letter.

So, if most everyone agrees that mātauranga Māori is mostly not science but is nevertheless a worthwhile and complementary form of knowledge, the obvious solution to the standoff over including it in the NCEA curriculum would be to teach it as a component of, say, social studies. But not as part of the science syllabus.

That way, you’d think, everyone wins — Māori knowledge would be taught in secondary schools, and the argument over whether it is sufficiently scientific would vanish.

However, a simple accommodation of this kind was never going to be possible because the NCEA syllabus is merely the tip of a large iceberg of policies to recast our entire science education system — from schools to universities to research institutes — as an equal endeavour between Māori and non-Māori in which mātauranga Māori is everywhere accorded the same status as science.

And thats the rub, because “status” includes money.

The NCEA syllabus represents just one small step in fulfilling a much wider co-governance programme based on a radical view of the Treaty as a 50:50 partnership between Maori and the Crown. For that reason, advocates of incorporating Maori knowledge into the science curriculum cannot afford to concede even an inch of ground to the professors and their supporters lest their stealthy revolution be undermined.

In short, the push to promote indigenous knowledge cannot be allowed to fail at any level for fear it will fail at every level.

The project to gain parity for mātauranga Māori throughout science education and funding is detailed in Te Pūtahitangi, A Tiriti-led Science-Policy Approach for Aotearoa New Zealand.

Published last April, it can be seen as a companion to the revolutionary ethno-nationalist report He Puapua and shows how a radical overhaul of the education system could, or should, be implemented.

This overhaul in fact gives more than equity to Māori when it comes to funding, for their research quality gets weighted 2.5 times as heavily as does research from non-Māori. This is likely to translate into big differences in research funding. Not even in the U.S. will the NSF and NIH prioritize grants and research evaluations based on ethnicity. The NIH tried to do that, but stopped the practice when it became public and was seen as unfair. One possibility is to fund only projects that involve Māori scientists. But since there’s a paucity of Māori scientists, the NZ initiative is, I think, likely to shake out as “no funding except for projects that combine modern science with MM.”

While the University of Auckland touts how wonderful it is and how much of a world-class research institute it will be, it and the NZ government is simultaneously ensuring that the research quality and reputation of the entire country will go into the dumper. And it’s largely done out of guilt, for equity alone simply cannot justify these actions. Robin DiAngelo would make a pile in New Zealand!

In the next installment (not for a while), I’ll give some examples of MM “ways of knowing” that have been touted as scientific.

NIH accused of structural racism, even though there’s no evidence for it; but director Francis Collins apologizes anyway

March 4, 2021 • 1:00 pm

About a month ago, I wrote two posts (here and here) about a paper calling attention to the National Institutes of Health’s (NIH) disparity in funding black versus white investigators (this disparity is real), and the accusations that this is due to structural racism at the NIH (false). There are several sets of data showing that the funding disparity is due to other factors, like choice of research field, as well as suggesting that there is no racism involved in assessing NIH proposals.

And yet now the NIH is saying that the organization, and biomedical research in general, are ridden with “structural racism”, and working to omit racism for which there’s no evidence (indeed, there’s evidence against it).

I’ll briefly reiterate the lines of evidence for lack of racial bias in NIH funding disparities.

a.) An extensive 2019 study in which blinded referees were asked to review genuine NIH proposals with black, white, and female authors, found no evidence of racial or gender bias. Here’s a summary from the study’s authors:

We find little to no race or gender bias in initial R01 evaluations, and additionally find that any bias that might have been present must be negligible in size. This conclusion was robust to a wide array of statistical model specifications. Pragmatically, important bias may be present in other aspects of the granting process, but our evidence suggests that it is not present in the initial round of R01 reviews.

R01s are primary research grants: the most important source of funding for individual investigators. Curiously, nobody seems to pay attention to this study, and I suspect it’s because it doesn’t support the dominant narrative of racial bias.

b.) Another paper in Science Advances showed that the funding disparity was due to two factors. First, black investigators tended to submit proposals for kinds of research, and to research areas, that historically have not had funding rates as high as those of fields involving more “pure research”. That is, the disparity was due in part to choice of research area, not to race. An even large amount of the disparity in funding was the “track record” of investigators: previous research and success in doing well with funded grants. As I wrote:

An earlier study that I haven’t yet seen shows that “track record” (i.e., accomplishments as recorded on the NIH c.v., which includes papers published that resulted from previous grants or other funding) to have an even larger effect on rate of funding. That shows that the track record of black scientists is rated lower than white scientists in funding, but, as we saw above, racism itself, as opposed to this index of previous accomplishment, wasn’t found to contribute to funding scores. Track record is not a funding problem, but a “pipeline” problem whose solution is complex.

This again, seems to not involve racial bias, because these track records are part of NIH proposals, whose evaluation, as noted in a), show no evidence for racial bias.

If then, you want to attain equal rates of funding of black versus white investigators (“equity”), you must either shift the priorities for different areas to get funding, or work on ways to improve the track record of black scientists applying for grants. The latter difference may ultimately devolve to historical racism which creates the “pipeline” problem, but what’s clear is that accusations of racism during the NIH evaluation process itself are unfounded.

Click on the screenshot to read the Science piece, including the director’s apology for “structural racism” for which there’s no evidence:

NIH director Francis Collins, who’s done a good job at the helm, nevertheless had to take one for team diversity and say that there’s structural racism at the NIH. All indented sections are from the article, and I’ll respond briefly.

Collins’s apology is certainly responding to an earlier letter in Cell that basically called the NIH racist in its funding decisions. The indented quotes, though, are from the article above:

Responding to concerns about discrimination against Black people, National Institutes of Health (NIH) Director Francis Collins today issued an unusual public apology for what he called “structural racism in biomedical research” and pledged to address it with a sweeping set of actions.

NIH’s long-running efforts to improve diversity “have not been sufficient,” Collins wrote in the statement. “To those individuals in the biomedical research enterprise who have endured disadvantages due to structural racism, I am truly sorry.” The agency plans “new ways to support diversity, equity, and inclusion,” and will also correct policies within the agency “that may harm our workforce and our science,” he added.

As I said, there’s no published evidence for racism at the NIH, and funding disparities are due to other factors. And note that Collins is indicting the NIH, not just “biomedical research” (I can’t speak to racism in the latter, but we’re talking about the NIH, which was the subject of the Cell letter).

What he’s asking for here is equity, that is, equal funding of black and white investigators, not just equal opportunity, which involves proposals judged by merit alone, and without racism. In other words, there is to be a quota of some sorts, attained by either by switching around the NIH’s funding priorities by overemphasizing applied research and downgrading pure research (a major change), or somehow prioritizing black scientists over white ones, which is illegal (see below).

More. I’m not sure whether Native Americans can be considered to be less important than blacks in getting funding given the history of genocide of America’s indigenous people, but I’m not touching that:

Although some observers welcomed NIH’s plans, first described Friday at a meeting of Collins’s Advisory Committee to the Director (ACD), critics fault the agency for not more directly addressing funding disparities between Black and white scientists.

NIH’s move is, in part, a response to last year’s incidents of police brutality as well as the disproportionate impact of the coronavirus pandemic on Black people. An ACD working group on diversity released a report on Friday that calls for NIH to “acknowledge the prevalence of racism and anti-Blackness in the scientific workforce.” The group focused specifically on Black people and not groups such as Native Americans because of the country’s 300-year legacy of slavery and segregation, says co-chair Roy Wilson, president of Wayne State University.

Here are the data on disparities in funding:

NIH has also faced long-standing concerns about racial bias in its funding patterns. A 2011 study known as the Ginther report found Black researchers’ funding rates are 10 percentage points lower than those of white researchers. The latest data show improvement: From 2003 to 2020, the number of basic R01 grants to Black investigators has risen from 52 to 166, and their success rate has doubled to 24%, compared with 31% for white investigators. Still, that is only “incremental improvement,” says Marie Bernard, NIH acting chief officer for scientific workforce diversity.

A doubling of success rate in 17 years seems pretty good to me, and the gap has lowered to only 7%. But that this is characterized as “only incremental improvement” seems weird to me: of course improvement will be incremental, and it will be especially slow if it depends on improvements in science education and opportunities for minorities that start at a young age.

The article notes that the NIH is already committing itself to spending $60 on funding research on “health disparities and health equity”, and is appointing diversity officers at every one of its 27 institutes and centers, as well as improving “outreach about NIH’s diversity training programs”.

But that is not enough, for people are demanding immediate equity in funding:

But many of the planned steps were presented “in a passive, noncommittal way,” Eniola-Adefeso says [she is the senior author on the Cell critique of the NIH]. And her group was disappointed that NIH has not agreed to fund Black scientists seeking R01s at the same rate as white scientists. Some observers have argued NIH could narrow the gap by funding Black scientists whose proposals fall just outside the peer-review score that is the cutoff for funding; the agency already does this for grants that meet an institute’s programmatic goals.

They are demanding funding equity, but that’s hard to do for three reasons. As I noted above, part of the gap is due to different choices between black and white scientists in what areas they apply for, with black scientists applying in areas that are less liable to be funded for everyone. Second, there is the differential track record, and omitting that means ditching an important meritocratic way to evaluate grants: how well the scientist has done. But, as we know, meritocracy is being downgraded in many places, probably for this reason.

Finally, to rate or rank grants using race as a criterion, especially in a government-run institution, is simply illegal.

“That is the immediate action that is needed,” Eniola-Adefeso says. “We cannot wait for more studies. We will lose [investigators] from the pipeline which then propagates this vicious cycle.” NIH’s diversity working group noted that Supreme Court decisions make it difficult for the agency to make funding decisions based on race or ethnicity.

The courts have ruled, in principle, that it’s discriminatory to use race-based funding, at least not in a government system. As I said, there are ways to decrease the funding gap, though they may not be palatable to the NIH itself, which may be why they can make only “incremental” improvements. Other ways mean improving education and opportunity for minorities starting at birth, but talk about incremental change: that will be extremely incremental! But, as I say repeatedly, it’s the only way to effect truly equal opportunity.

But one thing is clear, there is not a scintilla of evidence that the funding disparity at the NIH is due to racism. Collins has nothing to apologize for about the NIH. Why he chooses to perpetuate the narrative of structural racism in his organization, in light of the evidence for no racism (and no evidence for racism itself) is something I’ll leave to others.

Paper in Cell demands that the NIH fund more black scientists; blames racism for disparity. Part 2.

February 5, 2021 • 1:45 pm

Yesterday I wrote the first part of my analysis of the following “op-ed” that was published in Cell. The point of the paper is clear from its title. Click on the screenshot to read it.

Yesterday I addressed the disparity in funding rates between black and white investigators submitting grants to the National Institutes of Health (NIH)—a disparity that is quite substantial (black “principal investigators”, or “PIs”, are funded at only 55% of the rate of white ones). The article above both implicitly and explicitly attributes this disparity to racism: structural racism in science as a whole, racism in the National Institutes of Health, and racism of those people who review and score the grants and decide which ones deserve funding.

Yet the only relevant study addressing the issue of grant evaluation shows no disparity between black and white investigators (or male and female investigators) in ratings given grants. The authors of the study above ignored that finding, though they surely knew about it. They also ignored a study showing a likely reason for the disparity that has nothing to do with racism: black investigators tend to submit proposals in areas of research that are generally not well funded. (That’s often applied research.) A large part of the disparity is thus due to a disparity of research interests, not to racism.

Further, an even larger amount of the disparity is due to the past record of investigators: papers published, quality of work, types of funding, and so on. While background differences may reflect past racism, this is not an issue of discrimination by the NIH, but a “pipeline problem”: a lack of opportunity for minorities early in life, depriving their members of the ability to build good curricula vitae later in life.

As I also noted, my view has always been to favor affirmative action in hiring, both of students and professors, as well as in other professions. But I think that form of preference has to stop at some point in one’s career, and to me a logical place for scientists is when they begin their first academic job. At that point they’ve been found to be qualified to enter the “science club”, and from then on I think that fairness demands that one see the playing field as level and that preferential treatment should stop. That does not mean that minority faculty don’t deserve mentorship or consideration of special problems they may have, only that they should be given the respect of being treated identically to everyone else, regardless of ethnicity, gender, or race.

Stevens et al., however, disagree. They argue that the palpable racism of the NIH and its reviewers—a racism for which there’s no evidence—mandate profound changes in how the grants of African-Americans are reviewed. (They don’t mention other groups like Hispanics in their piece.) These grants, they argue, should be given preferential treatment. And if they’re not, the authors claim that this is itself racism.

Here’s an example of one of their recommendations and their response to how it’s addressed. The authors are requesting that the numerical scores given to NIH grants by reviewers, which are the overwhelming criterion for whether a grant is funded, take into account the racial diversity of the group of investigators applying. (Nearly all my own grants, by the way, had only myself as the researchers, with unnamed graduate and undergraduate students put into the budget since they hadn’t been hired.)

We ask: why is “diversity of the investigator team” not a scorable criterion in NIH grant review and priority for funding?

Be careful with responding, because one answer is racist and the other is not.

No, the “wrong” answer isn’t automatically racist because you can argue that diversity of researchers is not a good criterion for grant quality. It is also arguable whether the mission of the NIH should include social engineering as well as promoting good science, and whether equity should have already been engineered before people apply for grants.

Here are some of the changes Stevens et al. wish to make in the NIH system of awarding grants:

Diversity of the investigator team should be a score-driving criterion in NIH grant review. This includes race/ethnicity and other forms of diversity such as gender, sexual orientation, and disability.
Diverse teams should be prioritized for funding. Until there is no NIH racial funding disparity, all applications from Black PIs must be discussed. These applications should be automatically slated for discussion, prior to the review meeting by an automated system or the scientific review officer (SRO)
Program officers/program directors (POs/PDs) should be encouraged and empowered to reevaluate grants of Black PIs that score above the funding pay-line and bring these grants forward to council for funding. We calculate that an average of only ∼2 additional R01 applications from Black PIs would need to be funded per institute to achieve racial equity.
More Black PIs should be included on study sections. NIH should institute a minimum number of Black reviewers on each panel and publish a timeline over which this number will represent the US population. We note that some, often in the majority, may voice that this may lead to an unmanageable burden on Black PIs. Yet, the “race tax” is most problematic for service that is not career enhancing. Service on an NIH panel is universally viewed as career enhancing and prestigious, and panel invitations can also be declined. The pool of Black reviewers available for each panel could also be increased if NIH adopted suggestions in the “Beyond 2020: A Vision and Pathway for NIH,” which recommends that narrowly defined organ- and disease-centric panels be replaced with panels that are broader in scope.

This seems unfair to me, though of course all forms of affirmative action can seem “unfair” to those who are passed over in favor of minorities. What I mean is that preferential treatment of investigators should stop when they are hired as faculty in the first place. Grants should be evaluated completely race-free. (One way to do this, which I mention below, is to eliminate all clues to ethnicity from grant proposals, which in principle should ensure fairness. I favor attempts to do this.)

You can argue that my point of view is wrong, but it’s the one I take when judging fairness. Giving extra attention to grants from African-Americans, including mandatory discussion of there’s a black PI but not a white one, is unfair. Likewise with the “mandatory reevaluation” of grants of black PIs but not white ones. Anonymity of proposals would also make that completely superfluous—unless you don’t want a “I don’t see color” system but an “I do see color and want to favor it” system. Stevens et al. seem to favor the latter option.

I do agree that we need more minority reviewers and panelists to ensure that the credibility of our commitment to equality of opportunity be maintained, although my experience is that race and gender are not very useful ways of bringing different views of “quality” to the table. Rather, minority reviewers show our commitment to equal opportunity without promulgating unfairness, and also help ensure that if any racism creeps into the discussions (I have to admit I haven’t seen any in my many years of NIH funding), it will be more easily called out.

In the end, Stevens et al. provide a list of things that all scientists involved in the reviewing system should do:

Score grants of Black faculty well
Rescue grants of Black faculty to ensure they are discussed.
Consider diversity when scoring the investigator team and innovation.
Learn what racism is, especially topics such as “systemic racism,” “racism,” and “antiracism.”
Call out and stop all racist statements in review panels and elsewhere. Do not let racist comments pass.
Include Black faculty in scientific collaborations and write papers and grants with Black faculty.

The last two deserve consideration, though in my entire scientific career I have never heard anything remotely close to a racist or sexist statement uttered on a grant review or in a panel. The panel administrators, who are scientists, are chosen for their fairness and competence, and would shut down anything like that in a second. And remember, I entered the system in the early 1980s.

Including minority faulty in collaborations (#6) is fine, as it’s a form of affirmative action that doesn’t seem unfair, since you get to choose your collaborator and can collaborate with whomever you want. But I would say “Consider including black faculty. . .” as it should not be mandatory. In fact, there are no black evolutionary biologists who work on speciation in Drosophila, so this was never an option for me.

The first three actions represent preferential treatment of grants based on race, and may be illegal. In fact, “score grants of Black faculty well” is invidious because it means “give good scores to proposals from all Black investigators, regardless of the proposal’s quality” rather than “treat these proposals fairly”. At any rate, I think grants should be treated equally, and even reviewed with the names taken off of them if that is possible (sometimes it’s easy to guess whose grant you’re reviewing). If grants were reviewed blindly at both ends, any accusations of racism would be moot.

As for learning what racism is, and reading about “systemic racism and antiracism” (#4), yes, I’ve done that, and surely all academics now should understand these terms. But I suspect Stevens et al, based on the rest of their op-ed, have a specific definition of these terms, and one that corresponds to their meaning in Critical Race Theory. And to that I object, for that’s a form of indoctrination into an ideology. All we need to know about racism and grant reviewing is this: investigators should be judged by the content of their proposals, not by the color of their skin.

_________________________

Stevens, K. R., K. S. Masters, P. I. Imoukhuede, K. A. Haynes, L. A. Setton, E. Cosgriff-Hernandez, M. A. Lediju Bell, P. Rangamani, S. E. Sakiyama-Elbert, S. D. Finley, R. K. Willits, A. N. Koppes, N. C. Chesler, K. L. Christman, J. B. Allen, J. Y. Wong, H. El-Samad, T. A. Desai, and O. Eniola-Adefeso. 2021. Fund Black scientists. Cell. DOI: https://doi.org/10.1016/j.cell.2021.01.011

Paper in Cell demands that the NIH fund more black scientists; blames racism for disparity. Part 1.

February 4, 2021 • 10:00 am

It’s unusual for a science journal to publish a paper indicting the National Institutes of Health (NIH) for racism, but these are unusual times. The journal happens to be the very prestigious organ Cell, in which nineteen women scientists (I believe they’re all women of color) have indicted the NIH for funding black scientists at only 55% the rate of white ones. Further, they explicitly attribute this disparity to racism against blacks. (Asians aren’t mentioned, so I’m not sure whether they were excluded from the data or lumped in with whites.)

The paper, however, is misguided in several important ways. First, as I mentioned, it blames the funding disparity—which has persisted for over a decade—on racism, despite the fact that there are several other explanations, two of which have been supported by data. Second, while the authors cite data that, they say, shows racial bias against scientists, they omit the most relevant data for their contention, which shows no bias against NIH funding of black or female investigators in an extensive trial. They also fail to cite data showing that a lot of the funding disparity is based on racial differences in the kinds of problems investigated, and problems which have different funding rates for investigators of all races. Third, the group (henceforth, “Stevens et al.”) recommends a number of fixes of the system that seem to me manifestly unfair, even as forms of affirmative action. In fact, some of them may be illegal given that the NIH is a governmental organization.

The automatic ascribing of inequity (differential representation) to racism when there are other hypothesis is what I discussed yesterday as the “Diversity/Bias” fallacy, though I’ve since learned that people have given it another name. I claim no priority: it’s an obvious fallacy, especially to a scientist used to sussing out all possible explanations.

As I’ve said, I believe in the value of affirmative action in soliciting graduate students and hiring professors, as well as in other areas of social advancement. But I’ve also stated that this kind of preferential treatment in academics, which I see as valuable for several reasons, should stop at the time someone is hired as a faculty member. At that point, since the hired person has been deemed qualified for the faculty/research position, the affirmative action should cease and the candidate should compete for grants, promotions, and honors on an equal basis with everyone else. On this basis I would thus object to the methods suggested by this consortium to boost the scores and funding for black scientists. (See part 2 of this post for those methods.) Stevens et al. also neglect other disadvantaged groups like Hispanics—perhaps because data on funding disparities don’t exist.

You can see the paper (it’s really a scientific “op-ed”) by clicking on the screenshot below, and you can find the pdf here . The full reference is at the bottom.

Here are the authors’ statements (indented) that indict the NIH and modern science for systemic racism.

We are at a historic moment in time: a mainstream awakening to the pain that stems from racial injustice, with our scientific communities openly acknowledging that our practices promote racial inequity and disparity (Barber et al., 2020; Cell Editorial Team, 2020).

The evidence adduced above consists of the preponderance of white patients in clinical investigations and medical databases (which could reflect bias and racism), and some claims of grant disparity due to “systemic racism,” which, upon investigating those references, don’t show systemic racism or even any bias against blacks. More assertions:

The first study documenting racial disparity in NIH funding hit the field like a shockwave in 2011 (Ginther et al., 2011). This study showed that award probability for Black principal investigators (PIs) in 2000–2006 was ∼55% that of white PIs of similar academic achievement (Ginther et al., 2011). NIH scrambled to study potential reasons for this injustice (Barber et al., 2020; Erosheva et al., 2020).

Note that they characterize this as an “injustice”, which implicitly means racism, unless the disparity itself is seen as “unjust”. (If you believe in true “equity” with success rates of groups in the same proportion as those groups occur in the general proportion, and disparity of outcome might be considered “unjust”.)

Here’s an explicit mention of the field’s racism:

The NIH director and leadership must recognize that its previous approaches, most of which have focused on filling the “pipeline” without simultaneously addressing our profession’s systemic racism, have failed. NIH must change course.

Direct indictment of racism in the NIH funding system:

We ask: if racism is present in academia, how can it not be present in NIH grant review and research, which are performed by academics?

. . . . For example, the NIH should study the cultural competency and unconscious bias harbored by its reviewers, differential review practices and funding disparity between NIH and the National Science Foundation (NSF), and why “matching criteria” (Erosheva et al., 2020) affecting the funding disparity gap.

. . . Silence is complicity. The continued persistence of a racial funding disparity suggests that the scientific workforce, including the NIH leadership, does not understand nor is adequately equipped to recognize and respond to this racism.

There’s this, including some self-indictment:

Faculty colleagues, we respectfully suggest that it is time for us to acknowledge that we—yes each of us, including many of the authors here—have unintentionally contributed to racial inequity in our profession. As just one example of the insidious nature of systemic racism, many studies have shown that we judge CVs and resumes differently based on the name of the applicant alone with both racial and gender bias, even if these CVs are otherwise identical (Eaton et al., 2020, Henry et al., 2017).

And I find this particularly invidious: the authors demand, in their list of anti-racist changes in NIH funding procedure, to score grants higher if the proposal contains diverse (i.e., black) investigators:

We ask: why is “diversity of the investigator team” not a scorable criterion in NIH grant review and priority for funding?

Be careful with responding, because one answer is racist and the other is not.

Seriously? This is a debatable issue, and one answer does not automatically make one “racist.”

I’ll talk about the c.v. data in a second, and will claim that it’s largely irrelevant to the entire funding procedure of the NIH.

The paper has one figure arguing that antiracist reviewers are needed to eliminate the funding and career disparity between black and white scientists—implying that racist reviewers expressing “group think” account for that disparity.

(From paper): Metaphoric illustration depicting current NIH funding procedures, which destroy innovation (left) versus those that incorporate a broad NIH equity policy (red ladder) and/or in which individual antiracist reviewers (red) advance applications of Black PIs, to create innovation (right).

Note above that the cited evidence for racism in judging grants rests on two papers showing differences when scientists judge c.v.s of black and white investigators. I could access only one of these, the Eaton et al. paper, which does show disparities between sexes and races in hireability, likeability, and judgements of competence when made-up c.v.s of potential postdocs were assessed. (Note that these aren’t grant applicants or potential faculty members being assessed, but postdoctoral candidates.)

The result: Men were judged significantly more competent and hireable, as postdocs while women were judged more likable. For race, “White and Asian candidates were rated as more competent and hireable than Black and Latinx candidates across departments. Likeability ratings were not found to differ significantly by applicant race.”

So this does show apparent sexism and racism in assessing c.v.s of graduate students that are made up. However, another survey of faculty and student hiring preferences show that minority candidates and women are preferred above white candidates and males, especially by faculty. (This is for hiring faculty members, not postdocs.) That study was done not using fake c.v.s but assessing attitudes, and if you were wedded to the hypothesis of racism, one could say that the respondents were simply distorting their own views.

However, all of these disparate results become irrelevant when you look at an important study that, surprisingly, was not even cited by Stevens et al. themselves. It shows, through the use of reviewers assessing (as an exercise) actual NIH proposals whose authors were randomly identified as black, white, male, or female (names were switched around), that there was neither gender nor racial bias in scoring proposals. Since c.v.s are part of NIH proposals, these assessments would include weighing the candidates’ c.v.s and research productivity. Most important, this is an actual study, done in large numbers, of how grant proposals are adjudicated by the NIH (the authors used reviewers who had previously reviewed for the NIH). The study was published in 2019, so the authors of the Cell piece above certainly knew of it. They just omitted it.

Click on the screenshot to read.

I don’t want to go into detail here, but the researchers used genuine NIH proposals that were either funded or unfunded (24 of each), and sent three proposals to each of 412 scientists who had reviewed NIH grants before. The names were changed to reflect names associated with gender or race, and precautions were taken to prevent the reviewers from checking whether the applicants actually existed. You can read this for yourself, but here’s the conclusion from the abstract:

We find little to no race or gender bias in initial R01 evaluations, and additionally find that any bias that might have been present must be negligible in size. This conclusion was robust to a wide array of statistical model specifications. Pragmatically, important bias may be present in other aspects of the granting process, but our evidence suggests that it is not present in the initial round of R01 reviews.

It’s puzzling that this result isn’t mentioned by Stevens et al., since it’s the most important study bearing on the possibility of bias in NIH reviewing.

So if there’s no bias in reviewing, why do black investigators get NIH funding only 55% as often as do white investigators? One possibility, which is supported by another study, is that black investigators choose areas of application that generally have lower funding rates. And, indeed, the paper below supports that (click on screenshot; see a shorter summary here):

Here’s a summary from the abstract:

Notably, AA/B [African-American/Black] applicants tend to propose research on topics with lower award rates. These topics include research at the community and population level, as opposed to more fundamental and mechanistic investigations; the latter tend to have higher award rates. Topic choice alone accounts for over 20% of the funding gap after controlling for multiple variables, including the applicant’s prior achievements.

In other words, black investigators tend to propose “applied” studies, including those involving community intervention, health disparities, fertility, adolescent health, and so on, that are directed more towards solving social problems than other proposals involving “pure” research, and these studies are funded at lower rates—regardless of the investigator’s ethnicity or sex—than are “pure research” studies.

Of course, one could argue that this involves bias of a sort as well—bias against applied research. One could also argue that this kind of work is seen as less important because it’s considered an area of interest to minorities.

Now this factor accounts for only 20% of the disparity in funding between black and white scientists. An earlier study that I haven’t yet seen shows that “rack record” (i.e., accomplishments as recorded on the NIH c.v., which includes papers published that resulted from previous grants or other funding) to have an even larger effect on rate of funding. That shows that the track record of black scientists is rated lower than white scientists in funding, but, as we saw above, racism itself, as opposed to this index of previous accomplishment, wasn’t found to contribute to funding scores. Track record is not a funding problem, but a “pipeline” problem whose solution is complex. But, as I’ve suggested, widening the pipeline—assuring equality of opportunity for all at the outset of life—is the best and most permanent way of treating people fairly.

The study above suggests at least one route for reducing the funding disparity: upgrade the importance of “applied” research involving community intervention, public health, and so on. Because those fields disproportionately attract black investigators, you could fund more minority scientists simply by diverting more money to these areas. In this way you increase equity without any form of affirmative action. (Of course, upgrading areas that tend to attract minority investigators could be seen as a form of affirmative action.)

I see this post is getting too long, so I’ll break it into two sections. In this one we’ve seen that the claim of systemic racism is not a data-supported explanation for the lower funding rate of black investigators. What the data show for funding is that race or sex don’t seem to be important, but that track record and choice of research area do. To create more equity in funding then, one has to consider interventions that would improve the track record of black scientists (this is a complex problem that begins well before grants are submitted) or give more money to areas of applied research.

However, the Cell paper of Stevens et al. suggest affirmative-action interventions instead: when evaluating grants, we should give black investigators higher scores, special interventions, and different treatment. In the next and final bit of this analysis, I’ll discuss these recommendations.

h/t: Luana
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