Gizmodo58%

Scientists Say Some Black Holes Are Born From Other Black Holes 33%

By Gayoung Lee0%

7/10/2026, 7:30:53 PM

BS Summary: This article contains 29 faulty reasoning types, including Negativity Bias, Overconfidence Bias, and Unattributed Quote, with Biased Writer Voice as the most egregious example at 24.3% saturation with 199 hits. Analysis detected 1,531 faulty-reasoning hits from 820 analyzed words, generating a BS Score of 41.4% and a BS Rank of 33% (14,327 of 21,175 articles). This article is better (less manipulative) than 67.70% of the article peer group.

Scientists Say Some Black Holes Are Born From Other Black Holes 
The universe keeps telling us that black holes exist in an "impossible" mass zone. 
That's leaving astronomers to find alternative origin stories for black holes. 
Published July 10, 2026, 3:30 pm ET 
Reading time 3 minutes 
An artist’s concept of the hierarchical formation of black holes. 
Credit: LIGO/Caltech/MIT/R. 
Hurt (IPAC) 
Since LIGO’s Nobel-winning discovery of gravitational waves—ripples in spacetime—the U.S.-based detector has been picking up on hundreds of signals from black hole mergers. 
And, after a decade of studying gravitational waves, researchers believe a significant fraction of black holes may come from cosmic chain reactions. 
A recent paper published in Physical Review Letters describes an analysis of 155 pairs of binary black holes, identified by LIGO and its sisters, Virgo and KAGRA, in Italy and Japan, respectively. 
According to the study, about 14% of merging black holes may be what’s called “second-generation black holes,” or black holes that form from previous mergers of two smaller black holes. 
This “hierarchical” backstory is vastly different from the textbook version of how black holes emerge from the explosive death of a star. 
“Overall in the universe, black holes are merging all the time,” Cailin Plunkett, the study’s first author and a graduate student at the Massachusetts Institute of Technology, told MIT News. 
“Now we’re seeing a relatively consistent picture where there’s a decent percentage of black holes that are coming from this repeated pathway.” 
Tracking the invisible 
Gravitational waves that reach Earth’s detectors typically come from extremely intense events. 
Over the years, LIGO has picked up some truly perplexing signals. 
For example, last summer it found the most colossal black hole merger ever —and if that wasn’t wild enough, the black holes that took part in the merger lie within a cosmic “dead zone” for black holes. 
A Cosmic ‘Dead Zone’ for Black Holes Is Real, New Evidence Suggests 
This zone refers to a range of black hole masses in which, physically speaking, black holes can’t form through ordinary stellar collapse. 
From these discoveries, astronomers realized just how little we knew about black holes, which are challenging to investigate directly. 
In that sense, it was a no-brainer that the ever-growing catalog of LIGO’s gravitational signals would turn up entirely new insights about black holes . 
“It is increasingly clear, both from individual events and population analyses, that massive black holes exist in [this] range,” the researchers wrote in the latest paper. 
“These observations have spurred further investigation into mechanisms that can populate this gap.” 
The latest research represents one such investigation. 
During mergers, the two black holes spiral toward each other along an orbital plane. 
When one or both black hole spins are misaligned, the orbital plane can wobble, or “precess,” the researchers explained to MIT News. 
The degree to which the disk wobbles acts as a parameter from which researchers can measure the masses and spins of the merging black holes. 
One telling sign of hierarchical mergers is that they’re “lopsided,” meaning one of the pair has a much higher spin and mass than the other. 
For the study, the team created an analytic model to capture the kind of wobble that would have emerged from second-generation black holes. 
Around 14% of merging black holes followed this pattern, and the second-generation black holes identified had a very specific range of masses, at around 20 solar masses or 40 solar masses and above. 
Of mysterious origins 
To be fair, that might not sound like a whole lot. 
But it demonstrates that a sizeable portion of known black holes indeed follow this pattern. 
As for why, the team suspects hierarchical mergers emerge from dense stellar environments. 
Simply, when multiple neighboring stars die and collapse into black holes, the dense environment can make it easier for those black holes to find each other and merge. 
That could further lead to the formation of second-generation black holes. 
Theoretically, this could “repeat potentially ad infinitum , by virtue of the fact that you have a ton of stars and black holes in this really dense environment,” Plunkett said. 
But an ensuing mystery concerns those black holes in the 40-and-above regime, which coincides with the aforementioned “death zones” for black hole masses. 
According to stellar evolution theory, black holes born of supernovas shouldn’t leave any black holes above roughly 45 solar masses, explained Plunkett. 
“Yet we have seen black holes that are that massive,” she mused. 
“And the question is: Where did they come from?” 
For now, it’s hard to say when we’ll get an answer to that question, if ever. 
But one thing seems to be clear: black holes are a lot weirder than we could ever imagine. 
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Article reasoning-pattern comparisonThis article: 7.3%Gayoung Lee: 1.6%Gizmodo: 4.1%Confirmation Bias7.3%This article: 4.0%Gayoung Lee: 1.4%Gizmodo: 1.4%Anchoring Bias4.0%This article: 3.0%Gayoung Lee: 1.9%Gizmodo: 3.0%Availability Heuristic3.0%This article: 7.7%Gayoung Lee: 2.0%Gizmodo: 1.5%Representativeness Heuristic7.7%This article: 0.0%Gayoung Lee: 0.9%Gizmodo: 0.7%Hindsight Bias0.0%This article: 14.4%Gayoung Lee: 3.4%Gizmodo: 2.2%Overconfidence Bias14.4%This article: 4.4%Gayoung Lee: 3.6%Gizmodo: 5.6%Framing Effect4.4%This article: 0.0%Gayoung Lee: 0.5%Gizmodo: 0.5%Loss Aversion0.0%This article: 3.0%Gayoung Lee: 1.5%Gizmodo: 0.4%Status Quo Bias3.0%This article: 0.0%Gayoung Lee: 0.2%Gizmodo: 0.3%Sunk Cost Effect0.0%This article: 5.0%Gayoung Lee: 5.0%Gizmodo: 3.9%Optimism Bias5.0%This article: 3.3%Gayoung Lee: 0.7%Gizmodo: 2.2%Pessimism Bias3.3%This article: 16.7%Gayoung Lee: 2.2%Gizmodo: 7.6%Negativity Bias16.7%This article: 0.0%Gayoung Lee: 0.3%Gizmodo: 0.8%Self-Serving Bias0.0%This article: 0.0%Gayoung Lee: 0.1%Gizmodo: 1.1%Fundamental Attribution Error0.0%This article: 0.0%Gayoung Lee: 0.3%Gizmodo: 0.2%Actor-Observer Bias0.0%This article: 0.0%Gayoung Lee: 0.1%Gizmodo: 0.9%In-Group Bias0.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.4%Out-Group Homogeneity Bias0.0%This article: 2.8%Gayoung Lee: 0.5%Gizmodo: 2.8%Halo Effect2.8%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.2%Horn Effect0.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.0%Dunning-Kruger Effect0.0%This article: 4.5%Gayoung Lee: 0.4%Gizmodo: 1.6%Recency Bias4.5%This article: 2.8%Gayoung Lee: 0.2%Gizmodo: 0.4%Primacy Effect2.8%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.1%Blind-Spot Bias0.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 1.1%Ad Hominem0.0%This article: 2.7%Gayoung Lee: 0.2%Gizmodo: 0.2%Straw Man2.7%This article: 12.1%Gayoung Lee: 3.1%Gizmodo: 4.1%Appeal to Authority12.1%This article: 1.3%Gayoung Lee: 1.4%Gizmodo: 1.4%False Dilemma1.3%This article: 3.7%Gayoung Lee: 0.4%Gizmodo: 0.6%Slippery Slope3.7%This article: 0.0%Gayoung Lee: 0.3%Gizmodo: 0.2%Circular Reasoning0.0%This article: 8.5%Gayoung Lee: 5.1%Gizmodo: 5.4%Hasty Generalization8.5%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.3%Red Herring0.0%This article: 3.0%Gayoung Lee: 0.5%Gizmodo: 0.9%Bandwagon3.0%This article: 6.2%Gayoung Lee: 7.4%Gizmodo: 4.9%Appeal to Emotion6.2%This article: 1.1%Gayoung Lee: 0.8%Gizmodo: 1.0%Begging the Question1.1%This article: 9.1%Gayoung Lee: 0.9%Gizmodo: 3.3%Post Hoc (False Cause)9.1%This article: 0.0%Gayoung Lee: 0.1%Gizmodo: 0.1%Tu Quoque0.0%This article: 0.0%Gayoung Lee: 0.5%Gizmodo: 0.5%Burden of Proof0.0%This article: 3.0%Gayoung Lee: 0.6%Gizmodo: 0.2%Appeal to Nature3.0%This article: 0.0%Gayoung Lee: 0.5%Gizmodo: 0.3%Composition/Division0.0%This article: 6.0%Gayoung Lee: 0.8%Gizmodo: 2.0%Anecdotal6.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.1%No True Scotsman0.0%This article: 6.7%Gayoung Lee: 1.6%Gizmodo: 2.3%Ambiguity (Equivocation)6.7%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Gayoung Lee: 0.1%Gizmodo: 0.1%Middle Ground0.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.2%Personal Incredulity0.0%This article: 0.0%Gayoung Lee: 0.2%Gizmodo: 0.1%Special Pleading0.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.1%Genetic Fallacy0.0%This article: 13.9%Gayoung Lee: 2.8%Gizmodo: 4.7%Unattributed Quote13.9%This article: 0.0%Gayoung Lee: 0.8%Gizmodo: 1.2%Quote-first Misdirection0.0%This article: 24.3%Gayoung Lee: 4.6%Gizmodo: 13.6%Biased Writer Voice24.3%This article: 2.7%Gayoung Lee: 4.0%Gizmodo: 1.6%Indoctrination2.7%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 1.4%Politically Left Leaning Bias0.0%This article: 0.0%Gayoung Lee: 0.0%Gizmodo: 0.2%Politically Right Leaning Bias0.0%This article: 3.3%Gayoung Lee: 0.3%Gizmodo: 3.4%Attempt to Sell a Product or S…3.3%

820 words analyzed.

Speakers

1speaker15%attributed speech695writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageCailin Plunkett • 30 words • 100.0% coverageCailin Plunkett • 22 words • 0.0% coverageWriter's voice • 3 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 37 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 3 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageCailin Plunkett • 30 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageCailin Plunkett • 22 words • 0.0% coverageCailin Plunkett • 12 words • 0.0% coverageCailin Plunkett • 9 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverage
Selected voice

Cailin Plunkett

100%flagged-word coverage
125 attributed words100% of attributed speech89% writer coverage
0%15.0%30.0%Biased Writer Voice-28.6 ptsWriter: 28.6%Cailin Plunkett: 0.0%0.0%Unattributed Quote+11.9 ptsWriter: 12.1%Cailin Plunkett: 24.0%24.0%Attempt to Sell a Product -3.9 ptsWriter: 3.9%Cailin Plunkett: 0.0%0.0%Indoctrination-3.2 ptsWriter: 3.2%Cailin Plunkett: 0.0%0.0%

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.