KVCR News61%

Data centers face backlash across California as residents demand more transparency around their impacts 24%

By Anthony Victoria0%

6/22/2026, 6:53:12 PM

BS Summary: This article contains 34 faulty reasoning types, including Post Hoc (False Cause), Confirmation Bias, and Hasty Generalization, with Negativity Bias as the most egregious example at 25% saturation with 317 hits. Analysis detected 2,233 faulty-reasoning hits from 1,268 analyzed words, generating a BS Score of 36.7% and a BS Rank of 24% (16,209 of 21,172 articles). This article is better (less manipulative) than 76.60% of the article peer group.

Monterey Park, just east of Los Angeles, made history as the first city to ban data centers earlier this month. 
Close to 90% of voters supported the ballot measure that made it possible. 
But the city likely won’t be the last to ban data centers in California, as political fights are erupting across the state. 
Residents in regions like the Coachella Valley argue that the data center industry and local governments have failed to be transparent. 
Experts say organizations that run data centers should increase the amount of information they share about their facility’s impacts and benefits in an effort to bridge some trust. 
Behind Monterey Park’s ban on data centers 
HMC Stratcap is an Australian Company that planned to build an AI data center at an office park near state Route 60 in Monterey Park. 
The center could have spanned up to 250,000 square feet  with capacity to provide close to 50 megawatts of power, or enough to power thousands of homes. 
Yun Wang, 50, has lived in Monterey Park since 2008. 
Wang said he lives about a mile from the office park. 
“This whole area could have become a data center alley, similar to Northern Virginia,” Wang said as he drove up to the site. 
He added that many residents didn’t find out about the plans until a year later, when the city was getting ready to approve an environmental report for the project. 
In that report, the city shared that HMC Stratcap’s proposed data center “did not pose significant harm to the environment.” 
A year prior in Nov. 2024, the city changed the land use designation at the office park location to help accommodate future data center construction. 
“No one knew what was going on. 
The details were obscure,” said Wang. 
“They were moving things along [under] the cover of night, I would say.” 
Wang said most of the council seemed more interested in the possible tax revenue data centers could bring, instead of advocating for constituents. 
Wang also said the council failed to address residents’ concerns about water and electricity use. 
“I was very disappointed that my representative didn't stand up for our city, and so far as how the city council handled everything,” Wang said. 
So Wang said he began canvassing home-by-home in his neighborhood. 
He later became a part of a growing coalition of people and groups opposing data centers in Monterey Park and the larger San Gabriel Valley area. . 
Wang claims the coalition even held their own educational meetings known as “teach-ins.” 
The public backlash led council members to reconsider their stances, and in March, Monterey Park’s city council unanimously voted to place a measure banning data centers on the June ballot. 
After voting, Councilman Jose Sanchez thanked residents for educating him about the impacts of data centers. 
Wang said that aside from Sanchez, he remains skeptical of most council members, including his own representative. 
He also said HMC Stratcap’s approach intensified the backlash among Monterey Park residents, adding that the Australian company never spoke to the community or addressed their concerns until residents protested. 
Instead, Wang said it was the community’s ability to come together and educate one another that helped make the difference at the polls earlier this month. 
“I can tell you that what went wrong with HMC was their community engagement was nonexistent,” Wang said. 
“They need to know where the residents stand, and not waste our time and not waste our money.” 
HMC Stratcap did not respond to KVCR’s requests for comment. 
Experts argue transparency matters when proposing data centers 
Scientists and experts studying the impacts and benefits of data centers argue that it’s fair for communities to ask questions about transparency, especially around energy and water use. 
Kate Stoll, with the American Association for the Advancement of Science, claims the data center industry is trying to address environmental concerns. 
For example, she said they’re using new technology like closed loop cooling, which requires less water by recycling it. 
However, the system also requires more electricity. 
Stoll said some communities may decide they can absorb some of the impacts. 
She also emphasized that not every data center or developer is the same. 
“Some are better at community engagement up front. 
Some are better at making and sticking to sustainability practices than others,” said Stoll. 
“But I think transparency brings trust. 
Once you lose trust, it’s harder to build it back up and that might be the case in some of these communities.” 
For now, it appears the tech and data industry have taken an opposite strategy. 
The industries lobbied to kill a state bill that required data centers to disclose their water use. 
Governor Gavin Newsom vetoed Assembly Bill 93 in October because the economic impact was unclear. 
Khara Boender, the director of state policy with the Data Center Coalition, said the bill could have required centers to reveal trade secrets. 
The Data Center Coalition was among the groups who lobbied against it. 
Still, Boender says the data center industry could benefit from engaging with communities early on and answering their concerns. 
“I think we're also seeing many of our members engaging early and often with these communities to try to provide a better understanding,” Boender said. 
Data centers in Coachella placed on hold after weeks of protest 
Aside from Monterey Park, many cities across the state are now implementing moratoriums on data center approvals and considering their own bans on data centers entirely. 
In the city of Coachella, a data center company’s failure to engage residents put plans to build six data centers in the desert city on hold. 
In May, residents packed city council chambers after finding out the city council had signed an agreement earlier that year with Stronghold Power Systems. 
The Riverside County-based company builds energy infrastructure. 
It entered into an agreement to create a city owned electric utility paid for by developing data centers. 
The city’s current utility provider, Imperial Irrigation District, is unreliable as it experiences frequent power outages in the summer. 
IID, based in the Imperial Valley, is currently facing legal challenges for denying a data center developer access to water. 
“There weren't a lot of community members who were informed about these plans,” said Stephanie Ambriz, a Coachella resident who helped mobilize opposition to the agreement and data centers. 
Ambriz said she was outraged because the city didn’t let residents in on the process, and added that she believes the council seemed oblivious to how much water data centers use. 
The Coachella Valley is already struggling with challenges to water access due to watersheds like the Colorado River being depleted. 
“We're already living in this time where the city of Coachella needs to address our drinking water situation, and they're introducing data centers,” said Ambriz. 
“It’s tone deaf. 
It's enraging.” 
After hundreds of public comments, in June the city council approved a 45-day temporary pause on data centers. 
Ambriz said that the people’s voices mattered and the council listened this time. 
However, she thinks it’s too soon to celebrate. 
“It's going to be a long road,” Ambriz said. 
“I don’t anticipate Stronghold is going to take too kindly to it. 
There is a lot of distrust now between our community and local government.” 
Nonetheless, Ambriz said Coachella residents want to make sure the council sticks to their decision  and keep working on a plan to draft a permanent no data center ordinance. 
This story was edited with support from The California Newsroom, a collaboration of public media outlets throughout the state. 
Article reasoning-pattern comparisonThis article: 16.2%Anthony Victoria: 4.5%CalMatters: 1.9%Confirmation Bias16.2%This article: 2.2%Anthony Victoria: 0.3%CalMatters: 0.9%Anchoring Bias2.2%This article: 5.1%Anthony Victoria: 2.3%CalMatters: 3.0%Availability Heuristic5.1%This article: 1.1%Anthony Victoria: 0.6%CalMatters: 1.0%Representativeness Heuristic1.1%This article: 1.2%Anthony Victoria: 0.1%CalMatters: 0.5%Hindsight Bias1.2%This article: 1.5%Anthony Victoria: 0.3%CalMatters: 1.2%Overconfidence Bias1.5%This article: 3.5%Anthony Victoria: 1.7%CalMatters: 6.3%Framing Effect3.5%This article: 3.4%Anthony Victoria: 0.6%CalMatters: 1.0%Loss Aversion3.4%This article: 2.4%Anthony Victoria: 0.6%CalMatters: 0.7%Status Quo Bias2.4%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 1.5%Anthony Victoria: 0.9%CalMatters: 3.5%Optimism Bias1.5%This article: 6.8%Anthony Victoria: 2.1%CalMatters: 1.4%Pessimism Bias6.8%This article: 25.0%Anthony Victoria: 7.1%CalMatters: 6.4%Negativity Bias25.0%This article: 7.3%Anthony Victoria: 3.0%CalMatters: 1.7%Self-Serving Bias7.3%This article: 1.8%Anthony Victoria: 3.9%CalMatters: 0.7%Fundamental Attribution Error1.8%This article: 0.0%Anthony Victoria: 0.2%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 1.7%Anthony Victoria: 0.6%CalMatters: 1.7%In-Group Bias1.7%This article: 1.0%Anthony Victoria: 0.3%CalMatters: 0.4%Out-Group Homogeneity Bias1.0%This article: 0.0%Anthony Victoria: 0.2%CalMatters: 2.7%Halo Effect0.0%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 2.1%Anthony Victoria: 0.7%CalMatters: 0.9%Recency Bias2.1%This article: 1.6%Anthony Victoria: 0.6%CalMatters: 0.3%Primacy Effect1.6%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 3.2%Anthony Victoria: 1.9%CalMatters: 0.6%Ad Hominem3.2%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.2%Straw Man0.0%This article: 8.6%Anthony Victoria: 3.3%CalMatters: 3.1%Appeal to Authority8.6%This article: 4.1%Anthony Victoria: 1.3%CalMatters: 1.1%False Dilemma4.1%This article: 3.5%Anthony Victoria: 1.8%CalMatters: 0.8%Slippery Slope3.5%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 9.6%Anthony Victoria: 6.1%CalMatters: 3.6%Hasty Generalization9.6%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.2%Red Herring0.0%This article: 8.6%Anthony Victoria: 1.7%CalMatters: 0.7%Bandwagon8.6%This article: 7.3%Anthony Victoria: 3.7%CalMatters: 5.3%Appeal to Emotion7.3%This article: 2.2%Anthony Victoria: 0.3%CalMatters: 0.6%Begging the Question2.2%This article: 17.8%Anthony Victoria: 4.7%CalMatters: 2.0%Post Hoc (False Cause)17.8%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.1%Tu Quoque0.0%This article: 2.6%Anthony Victoria: 0.7%CalMatters: 0.3%Burden of Proof2.6%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 6.7%Anthony Victoria: 1.4%CalMatters: 3.1%Anecdotal6.7%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 4.5%Anthony Victoria: 1.6%CalMatters: 1.2%Ambiguity (Equivocation)4.5%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 1.0%Anthony Victoria: 0.3%CalMatters: 0.1%Middle Ground1.0%This article: 0.0%Anthony Victoria: 0.3%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 1.3%Anthony Victoria: 0.4%CalMatters: 0.8%Unattributed Quote1.3%This article: 0.0%Anthony Victoria: 0.4%CalMatters: 0.6%Quote-first Misdirection0.0%This article: 3.5%Anthony Victoria: 1.2%CalMatters: 3.1%Biased Writer Voice3.5%This article: 6.3%Anthony Victoria: 1.0%CalMatters: 1.9%Indoctrination6.3%This article: 0.0%Anthony Victoria: 0.2%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Anthony Victoria: 0.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Anthony Victoria: 0.1%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

1268 words analyzed.

Speakers

6speakers56%attributed speech563writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageYun Wang • 11 words • 0.0% coverageYun Wang • 23 words • 0.0% coverageYun Wang • 29 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageYun Wang • 7 words • 0.0% coverageYun Wang • 6 words • 0.0% coverageYun Wang • 13 words • 0.0% coverageYun Wang • 23 words • 0.0% coverageYun Wang • 15 words • 0.0% coverageYun Wang • 25 words • 0.0% coverageYun Wang • 10 words • 0.0% coverageYun Wang • 27 words • 0.0% coverageYun Wang • 13 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageJose Sanchez • 16 words • 100.0% coverageYun Wang • 17 words • 0.0% coverageYun Wang • 30 words • 0.0% coverageYun Wang • 26 words • 0.0% coverageYun Wang • 18 words • 0.0% coverageYun Wang • 18 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageKate Stoll • 22 words • 0.0% coverageKate Stoll • 19 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageKate Stoll • 13 words • 0.0% coverageKate Stoll • 13 words • 0.0% coverageKate Stoll • 8 words • 0.0% coverageKate Stoll • 14 words • 0.0% coverageKate Stoll • 6 words • 100.0% coverageKate Stoll • 22 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageKhara Boender • 23 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageKhara Boender • 19 words • 0.0% coverageKhara Boender • 25 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageStephanie Ambriz • 29 words • 0.0% coverageStephanie Ambriz • 31 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageStephanie Ambriz • 25 words • 0.0% coverageStephanie Ambriz • 3 words • 0.0% coverageStephanie Ambriz • 2 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageStephanie Ambriz • 13 words • 0.0% coverageStephanie Ambriz • 8 words • 0.0% coverageStephanie Ambriz • 9 words • 0.0% coverageStephanie Ambriz • 12 words • 0.0% coverageStephanie Ambriz • 13 words • 0.0% coverageStephanie Ambriz • 30 words • 0.0% coverageThe California Newsroom • 19 words • 0.0% coverage
Selected voice

Stephanie Ambriz

100%flagged-word coverage
175 attributed words25% of attributed speech83% writer coverage
0%5.0%10.0%Indoctrination-9.9 ptsWriter: 9.9%Stephanie Ambriz: 0.0%0.0%Biased Writer Voice-7.8 ptsWriter: 7.8%Stephanie Ambriz: 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.