Physicist says splashy new cosmology study made ‘elemental’ mistake 27%

By Joseph Howlett0%

7/9/2026, 11:08:00 AM

BS Summary: This article contains 29 faulty reasoning types, including Hasty Generalization, Status Quo Bias, and Appeal to Authority, with Negativity Bias as the most egregious example at 18.3% saturation with 172 hits. Analysis detected 1,245 faulty-reasoning hits from 939 analyzed words, generating a BS Score of 38.4% and a BS Rank of 27% (16,028 of 21,887 articles). This article is better (less manipulative) than 73.20% of the article peer group.

Physicist says splashy new cosmology study made 'elemental' mistake 
A recent study in the journal Nature carries cosmos-quaking implications for our understanding of the universe-except a new preprint says that it's wrong 
By Joseph Howlett edited by Lee Billings 
KPNO/NOIRLab/NSF/AURA/R. 
Sparks 
Two weeks ago, when Till Sawala heard the news of a peer-reviewed paper that purported to upend our understanding of the universe, he immediately suspected that something was off. 
Then again, the paper was published in Nature, one of the world's most authoritative and influential scientific journals. 
"I thought, 'Okay, this is either one of the most important results in cosmology in the last 10 years, or it's wrong,'" says Sawala, a cosmologist at the University of Helsinki. 
"And my instinct is that it was wrong." 
In his experience, the more a claim flies in the face of expert consensus, the less likely it is to withstand expert scrutiny. 
In this case, the Nature paper argued that, at multibillion-light-year scales, the universe's contents weren't spread out as uniformly as scientists had thought. 
The assertion, if true, would overturn decades of cosmic dogma. 
"If something this big had been missed, it would have been quite an embarrassment to the community," Sawala says. 
"So I thought it was important to correct the record." 
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The Nature paper concerned a massive dataset of 47 million galaxies and quasars across more than 11 billion years of the universe's 13.8-billion-year history, as captured by the Dark Energy Spectroscopic Instrument (DESI) . 
The DESI dataset, like many before it, showed that intergalactic matter glommed together into a vast "cosmic web" of galaxy-rich filaments and sheets surrounding enormous galaxy-sparse voids. 
But the authors of the Nature paper claimed the DESI data also showed that these filaments stretched farther than anyone realized: billions of light-years. 
Most crucially, the authors said these filaments were oriented in certain directions more than others. 
If the universe's large-scale contents indeed had such "preferred" directions, that would violate a rigid dogma known as the cosmological principle. 
Upon closer inspection, however, Sawala found problems with how the authors calculated the scale of the DESI data. 
He argues that they measured the distances of galaxies with a unit called "luminosity distance" when they should have used a different unit called the "comoving distance." 
They also neglected to scale these distances to account for how fast the universe is growing. 
After correcting for these issues, his independent analysis suggests the DESI data are consistent with the prevailing consensus: no mysterious mega-alignments of filaments; no violation of the cherished cosmological principle. 
Francesco Sylos Labini, one of the Nature paper's authors and a physicist at the Enrico Fermi Research Center in Rome, points out that Sawala's analysis relies on the patchiness of the universe's large-scale structures rather than their orientation. 
But Sawala says that the mistakes he's uncovered apply in either case. 
Major journals such as Nature maintain their prestige by featuring the most impactful research-and what could be more impactful than research with revolutionary implications? 
But as Carl Sagan famously put it, "Extraordinary claims require extraordinary evidence"-peer review is especially crucial in such cases. 
"In order for a paper to be in Nature , it has to be groundbreaking," Sawala says. 
"This was definitely groundbreaking, so it cleared that hurdle. 
But it turned out not to be correct." 
"It is disappointing that this made it past the reviewers," says David Spergel, an astrophysicist and president of the Simons Foundation. 
" Nature 's editors need to be more careful in the future." 
But even if the journal had assigned Sawala as one of the paper's two referees, he says, he's not sure that he would have caught such an "elemental" mistake-though he would have had some basic questions. 
"Being a reviewer is difficult," Sawala says. 
"You are usually an expert in only some parts of the paper." 
Cosmologist Daniel Eisenstein of Harvard University, who was not involved in either manuscript, agrees. 
"Unfortunately, it's easy to see how this kind of bug could sit unnoticed in a code for a long time," he says. 
"It is not obvious to me that a reviewer should reasonably have caught it." 
Sawala has submitted his rebuttal for its own peer review, and the preprint is already making rounds in the cosmology community. 
But a corrective follow-up to a sensational claim rarely draws the same splashy headlines from mainstream outlets. 
This tendency to avoid revisiting "yesterday's news" can misalign the public's understanding with the science. 
These pitfalls of peer review are why physicists increasingly rely on preprint servers, such as arXiv.org, which allow the whole community to judge a paper in concert. 
"You'd have to be lucky, with one or two reviewers, if they happened to catch this," Sawala says. 
"But someone else surely would have if it had been on arXiv." 
The Nature paper was not posted to arXiv.org or elsewhere prior to its publication. 
When scientists submit a flashy result to a top journal such as Nature, however, they often opt to keep that result secret until a few days before publication, when journalists are given a heads up. 
This practice-called placing it under "embargo"-makes a paper's publication a newsier event but does so at the expense of scientific openness. 
"I think these embargoes serve the publication more than the science," Sawala says. 
"And I think the science should come first. 
Article reasoning-pattern comparisonThis article: 4.7%Joseph Howlett: 3.2%Scientific American: 3.0%Confirmation Bias4.7%This article: 3.3%Joseph Howlett: 0.8%Scientific American: 0.9%Anchoring Bias3.3%This article: 3.1%Joseph Howlett: 0.8%Scientific American: 2.6%Availability Heuristic3.1%This article: 2.4%Joseph Howlett: 0.6%Scientific American: 1.2%Representativeness Heuristic2.4%This article: 0.0%Joseph Howlett: 1.7%Scientific American: 0.4%Hindsight Bias0.0%This article: 3.8%Joseph Howlett: 1.5%Scientific American: 2.5%Overconfidence Bias3.8%This article: 7.5%Joseph Howlett: 4.9%Scientific American: 4.2%Framing Effect7.5%This article: 1.4%Joseph Howlett: 0.3%Scientific American: 0.3%Loss Aversion1.4%This article: 12.4%Joseph Howlett: 4.5%Scientific American: 0.9%Status Quo Bias12.4%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.1%Sunk Cost Effect0.0%This article: 2.4%Joseph Howlett: 0.6%Scientific American: 3.0%Optimism Bias2.4%This article: 3.1%Joseph Howlett: 0.8%Scientific American: 1.1%Pessimism Bias3.1%This article: 18.3%Joseph Howlett: 5.9%Scientific American: 3.3%Negativity Bias18.3%This article: 2.6%Joseph Howlett: 0.6%Scientific American: 0.3%Self-Serving Bias2.6%This article: 1.3%Joseph Howlett: 0.3%Scientific American: 0.3%Fundamental Attribution Error1.3%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.2%Actor-Observer Bias0.0%This article: 0.0%Joseph Howlett: 0.5%Scientific American: 0.1%In-Group Bias0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Out-Group Homogeneity Bias0.0%This article: 6.9%Joseph Howlett: 1.7%Scientific American: 0.9%Halo Effect6.9%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Horn Effect0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Dunning-Kruger Effect0.0%This article: 2.2%Joseph Howlett: 0.6%Scientific American: 0.8%Recency Bias2.2%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.2%Primacy Effect0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Blind-Spot Bias0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.1%Ad Hominem0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.3%Straw Man0.0%This article: 10.4%Joseph Howlett: 5.9%Scientific American: 4.3%Appeal to Authority10.4%This article: 3.3%Joseph Howlett: 3.4%Scientific American: 1.8%False Dilemma3.3%This article: 2.9%Joseph Howlett: 0.7%Scientific American: 0.8%Slippery Slope2.9%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.1%Circular Reasoning0.0%This article: 12.5%Joseph Howlett: 5.8%Scientific American: 4.1%Hasty Generalization12.5%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.2%Red Herring0.0%This article: 3.5%Joseph Howlett: 1.7%Scientific American: 0.6%Bandwagon3.5%This article: 6.7%Joseph Howlett: 2.8%Scientific American: 4.2%Appeal to Emotion6.7%This article: 1.0%Joseph Howlett: 0.2%Scientific American: 0.6%Begging the Question1.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 2.9%Post Hoc (False Cause)0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Tu Quoque0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.6%Burden of Proof0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.4%Appeal to Nature0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.3%Composition/Division0.0%This article: 1.9%Joseph Howlett: 0.5%Scientific American: 1.0%Anecdotal1.9%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.1%No True Scotsman0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 2.2%Ambiguity (Equivocation)0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.3%Middle Ground0.0%This article: 2.8%Joseph Howlett: 0.7%Scientific American: 0.1%Personal Incredulity2.8%This article: 3.8%Joseph Howlett: 1.0%Scientific American: 0.2%Special Pleading3.8%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Genetic Fallacy0.0%This article: 0.9%Joseph Howlett: 0.2%Scientific American: 0.7%Unattributed Quote0.9%This article: 2.4%Joseph Howlett: 0.6%Scientific American: 0.7%Quote-first Misdirection2.4%This article: 0.0%Joseph Howlett: 2.5%Scientific American: 4.3%Biased Writer Voice0.0%This article: 0.9%Joseph Howlett: 0.4%Scientific American: 1.8%Indoctrination0.9%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Joseph Howlett: 0.0%Scientific American: 0.0%Politically Right Leaning Bias0.0%This article: 4.3%Joseph Howlett: 3.0%Scientific American: 1.7%Attempt to Sell a Product or S…4.3%

939 words analyzed.

Speakers

3speakers36%attributed speech600writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageTill Sawala • 31 words • 0.0% coverageTill Sawala • 8 words • 100.0% coverageTill Sawala • 23 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageTill Sawala • 19 words • 0.0% coverageTill Sawala • 10 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageTill Sawala • 27 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageTill Sawala • 12 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageTill Sawala • 17 words • 0.0% coverageTill Sawala • 9 words • 0.0% coverageTill Sawala • 8 words • 0.0% coverageDavid Spergel • 21 words • 0.0% coverageDavid Spergel • 12 words • 0.0% coverageTill Sawala • 36 words • 0.0% coverageTill Sawala • 7 words • 0.0% coverageTill Sawala • 12 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageDaniel Eisenstein • 22 words • 0.0% coverageDaniel Eisenstein • 14 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageTill Sawala • 18 words • 0.0% coverageTill Sawala • 12 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageTill Sawala • 13 words • 0.0% coverageTill Sawala • 8 words • 100.0% coverage
Selected voice

Till Sawala

84%flagged-word coverage
270 attributed words80% of attributed speech75% writer coverage
0%5.0%10.0%Attempt to Sell a Product -6.7 ptsWriter: 6.7%Till Sawala: 0.0%0.0%Quote-first Misdirection-3.8 ptsWriter: 3.8%Till Sawala: 0.0%0.0%Unattributed Quote+3.0 ptsWriter: 0.0%Till Sawala: 3.0%3.0%Indoctrination+3.0 ptsWriter: 0.0%Till Sawala: 3.0%3.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.