Grist25%

This island in the Great Lakes wants to tap waves for energy 21%

By Vivian La33%

6/25/2026, 8:30:00 AM

BS Summary: This article contains 28 faulty reasoning types, including Negativity Bias, Optimism Bias, and Halo Effect, with Appeal to Authority as the most egregious example at 25.3% saturation with 220 hits. Analysis detected 1,470 faulty-reasoning hits from 869 analyzed words, generating a BS Score of 35% and a BS Rank of 21% (16,815 of 21,175 articles). This article is better (less manipulative) than 79.40% of the article peer group.

Beaver Island sits in the middle of the northernmost end of Lake Michigan, about 70 miles from the maritime border with Canada. 
The forested island, just a little bigger than San Francisco in size, is a popular summer destination for tourists and home to about 600 permanent residents. 
Getting there requires a boat or plane ride. 
Getting electricity to the island isn’t as easy. 
Power comes from mainland Michigan through cables that cross roughly 30 miles of lake bed. 
Outages are common during extreme weather, or when there are problems with the sensitive wires. 
The devastating ice storm that walloped the state last year knocked out power to the island for weeks. 
That’s got some residents hoping to see a more reliable source of power that’s generated where they live. 
Turns out, there’s an abundant source nearby: the waves that surround the island. 
Earlier this month, researchers from the University of Michigan gathered on the shoreline to deploy two devices that convert the kinetic energy of waves into electricity. 
The gadgets  prototypes that look like small boats framed with PVC pipes and are about the size of a yoga ball  demonstrated their potential by powering a light bulb and charging a cell phone. 
The project is one of many efforts across the country to use alternative sources of energy to improve reliability in remote places. 
In this case, the researchers spent two years gathering input from residents, who said providing a dependable source power to the airport was a priority. 
“We need to work with the community together to identify the need and design together with them,” said Lei Zuo, an engineering professor at the University of Michigan and the lead researcher on the project. 
Several residents already power their homes and businesses with solar panels or geothermal energy, and the island has previously received federal funds to improve access to renewables. 
Similar programs and grid modernization plans face an uncertain future as the Trump administration cancels grants and programs, raising questions about how such projects will be funded in the years ahead. 
Efforts to improve reliability are underway in remote communities across the country. 
The small Native village of Galena, Alaska, for example, is investing in solar and biomass to reduce reliance on diesel fuel and provide a stopgap against extreme weather. 
Beaver Island hopes to do the same. 
“It’s a combination of looking at cost savings and also wanting to be independent and not dependent on the mainland for everything,” said Seamus Norgaard, who lives on the island during the summer. 
“And then also the environmental outlook.” 
Beaver Island isn’t the only community looking for greater energy independence. 
Residents of Adjuntas, Puerto Rico, for instance, developed a community-owned solar microgrid after Hurricane Maria. 
The system, which can keep electricity running when the island’s rickety grid inevitably fails, has become a model for other places looking to improve reliability using locally generated power. 
Even so, wave power might not become anyone’s sole source of power, said Dan Hellin, director of PacWave, an offshore testing facility in Oregon. 
But “finding something that works within the region is critical,” he said. 
“It’s developing a whole suite of renewables and applying them based on local conditions.” 
Despite the technology’s potential, it isn’t widely used because of how expensive it is and hard it can be to deploy. 
It also is still new, and there isn’t a standardized design yet, Hellin said. 
Funding is another challenge. 
Most wave energy projects in the U.S. are funded by the federal government. 
The Michigan experiment is backed by National Science Foundation grants awarded two years ago. 
But marine energy  which falls under hydropower  has escaped some of the Trump administration’s animosity toward renewables, Hellin said. 
“It’s not on the radar in the same way.” 
Early in his second term, President Donald Trump included hydropower among the domestic energy sources his administration would prioritize for regulatory fast-tracking and support. 
The Department of Energy’s rebranded Hydropower and Hydrokinetic Office said it will use $220 million appropriated by Congress to continue such research. 
The University of Michigan wave project joins efforts in other parts of the country to push wave power technology toward commercialization. 
The team behind it has a similar project underway in North Carolina’s Outer Banks. 
Beyond PacWave’s work in Oregon, a company called CalWave has tested devices off the California coast, and Hawai‘i has hosted a testing site for more than a decade. 
Although waves on the Great Lakes are smaller and more seasonal than those on oceans, Saeid Bayat with the University of Michigan said research on these inland seas could help improve this technology as a whole. 
I’s also an ideal experimental bathtub. 
“The Great Lakes provide real-world wave conditions while being much easier, safer, and less expensive to access than most ocean sites,” Bayat said. 
Back on Beaver Island, the team will continue improving the prototype. 
It plans to install a final version in the coming years, and Norgaard is among those eager to see that happen. 
“There is that excitement about these new futures and cleaner sources, and more locally produced, dependable sources of energy.” 
Article reasoning-pattern comparisonThis article: 6.0%Vivian La: 0.9%Grist: 2.1%Confirmation Bias6.0%This article: 0.0%Vivian La: 0.4%Grist: 0.8%Anchoring Bias0.0%This article: 7.5%Vivian La: 2.8%Grist: 3.0%Availability Heuristic7.5%This article: 6.3%Vivian La: 0.6%Grist: 1.0%Representativeness Heuristic6.3%This article: 0.0%Vivian La: 0.3%Grist: 0.5%Hindsight Bias0.0%This article: 0.0%Vivian La: 1.9%Grist: 1.3%Overconfidence Bias0.0%This article: 2.9%Vivian La: 4.0%Grist: 4.9%Framing Effect2.9%This article: 0.0%Vivian La: 0.4%Grist: 0.6%Loss Aversion0.0%This article: 3.1%Vivian La: 1.3%Grist: 0.5%Status Quo Bias3.1%This article: 0.0%Vivian La: 0.3%Grist: 0.3%Sunk Cost Effect0.0%This article: 14.5%Vivian La: 4.0%Grist: 3.2%Optimism Bias14.5%This article: 2.8%Vivian La: 1.8%Grist: 1.9%Pessimism Bias2.8%This article: 15.2%Vivian La: 5.9%Grist: 6.8%Negativity Bias15.2%This article: 3.8%Vivian La: 1.7%Grist: 1.0%Self-Serving Bias3.8%This article: 0.0%Vivian La: 0.0%Grist: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Vivian La: 0.0%Grist: 0.1%Actor-Observer Bias0.0%This article: 0.0%Vivian La: 0.1%Grist: 0.8%In-Group Bias0.0%This article: 0.0%Vivian La: 0.1%Grist: 0.2%Out-Group Homogeneity Bias0.0%This article: 11.4%Vivian La: 1.3%Grist: 1.0%Halo Effect11.4%This article: 0.0%Vivian La: 0.0%Grist: 0.0%Horn Effect0.0%This article: 0.0%Vivian La: 0.0%Grist: 0.0%Dunning-Kruger Effect0.0%This article: 7.5%Vivian La: 2.2%Grist: 1.2%Recency Bias7.5%This article: 2.8%Vivian La: 0.7%Grist: 0.2%Primacy Effect2.8%This article: 0.0%Vivian La: 0.0%Grist: 0.1%Blind-Spot Bias0.0%This article: 0.0%Vivian La: 0.0%Grist: 0.3%Ad Hominem0.0%This article: 0.0%Vivian La: 0.0%Grist: 0.1%Straw Man0.0%This article: 25.3%Vivian La: 5.4%Grist: 4.1%Appeal to Authority25.3%This article: 0.0%Vivian La: 1.7%Grist: 1.4%False Dilemma0.0%This article: 0.0%Vivian La: 0.5%Grist: 0.9%Slippery Slope0.0%This article: 0.0%Vivian La: 0.0%Grist: 0.1%Circular Reasoning0.0%This article: 3.3%Vivian La: 2.5%Grist: 3.9%Hasty Generalization3.3%This article: 0.0%Vivian La: 0.2%Grist: 0.1%Red Herring0.0%This article: 5.2%Vivian La: 0.5%Grist: 0.6%Bandwagon5.2%This article: 4.8%Vivian La: 7.3%Grist: 4.0%Appeal to Emotion4.8%This article: 1.5%Vivian La: 0.8%Grist: 0.7%Begging the Question1.5%This article: 6.0%Vivian La: 4.1%Grist: 3.1%Post Hoc (False Cause)6.0%This article: 0.0%Vivian La: 0.0%Grist: 0.0%Tu Quoque0.0%This article: 0.0%Vivian La: 0.3%Grist: 0.3%Burden of Proof0.0%This article: 3.9%Vivian La: 0.7%Grist: 0.3%Appeal to Nature3.9%This article: 0.8%Vivian La: 0.1%Grist: 0.3%Composition/Division0.8%This article: 9.4%Vivian La: 1.4%Grist: 2.0%Anecdotal9.4%This article: 0.0%Vivian La: 0.4%Grist: 0.0%No True Scotsman0.0%This article: 1.7%Vivian La: 0.5%Grist: 1.7%Ambiguity (Equivocation)1.7%This article: 0.0%Vivian La: 0.0%Grist: 0.0%Gambler’s Fallacy0.0%This article: 1.4%Vivian La: 0.1%Grist: 0.1%Middle Ground1.4%This article: 0.0%Vivian La: 0.0%Grist: 0.1%Personal Incredulity0.0%This article: 0.0%Vivian La: 0.3%Grist: 0.1%Special Pleading0.0%This article: 0.0%Vivian La: 0.0%Grist: 0.0%Genetic Fallacy0.0%This article: 2.9%Vivian La: 0.7%Grist: 0.7%Unattributed Quote2.9%This article: 0.0%Vivian La: 0.6%Grist: 0.9%Quote-first Misdirection0.0%This article: 6.6%Vivian La: 1.9%Grist: 2.5%Biased Writer Voice6.6%This article: 4.3%Vivian La: 2.2%Grist: 1.4%Indoctrination4.3%This article: 0.0%Vivian La: 1.7%Grist: 1.0%Politically Left Leaning Bias0.0%This article: 6.0%Vivian La: 0.6%Grist: 0.1%Politically Right Leaning Bias6.0%This article: 2.4%Vivian La: 0.9%Grist: 0.7%Attempt to Sell a Product or S…2.4%

869 words analyzed.

Speakers

5speakers23%attributed speech672writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageLei Zuo • 35 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageSeamus Norgaard • 33 words • 0.0% coverageSeamus Norgaard • 6 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageDan Hellin • 24 words • 0.0% coverageDan Hellin • 12 words • 0.0% coverageDan Hellin • 14 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageDan Hellin • 9 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageDepartment of Energy • 22 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageSaeid Bayat • 23 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageSeamus Norgaard • 19 words • 100.0% coverage
Selected voice

Saeid Bayat

100%flagged-word coverage
23 attributed words12% of attributed speech89% writer coverage
0%5.0%10.0%Biased Writer Voice-8.5 ptsWriter: 8.5%Saeid Bayat: 0.0%0.0%Politically Right Leaning -7.7 ptsWriter: 7.7%Saeid Bayat: 0.0%0.0%Unattributed Quote-3.7 ptsWriter: 3.7%Saeid Bayat: 0.0%0.0%Attempt to Sell a Product -3.1 ptsWriter: 3.1%Saeid Bayat: 0.0%0.0%Indoctrination-2.7 ptsWriter: 2.7%Saeid Bayat: 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.