Business
Is this the solution to California's soaring insurance prices due to wildfire risk?
In the past several years, homeowners across the state have been either burdened with extremely high insurance premiums or have struggled to find coverage at all. Wildfires have sent California’s homeowners insurance market into crisis and the situation is only getting worse. So far, 2024 has seen 219,247 acres burned, more than 20 times the amount this time last year. As wildfires become more frequent and destructive, insurers have worked to lower their risk exposure through rate hikes, nonrenewals, and even halting new policies in the state entirely.
New buyers and those whose policies have not been renewed have limited options since the biggest companies, State Farm, Farmers, Allstate, USAA, Travelers, Nationwide and Chubb, have limited or paused new policies in the last few years. Earlier this month State Farm’s cancellations of 30,000 homeowner policies mostly in high wildfire risk areas, took effect. In late June, State Farm requested a 31% rate increase, its largest increase in recent history, on the heels of a 22% increase earlier this year. Allstate also recently filed a request for a significant 34% rate increase.
Homeowners are finding the expense and lack of options unsustainable. Sharon Goldman, longtime resident of the Pacific Palisades, has not had her policy canceled yet, but she has seen increases to her premium and worries she could be next. In her ZIP Code the wildfire risk is high, and State Farm decided to not renew 70% of their policies. Starting in 2019, rates of nonrenewals in high- and very high-risk areas grew to 14% compared with 3% and 2% for moderate- and low-risk areas.
Goldman, using her maiden name out of concern for retribution from State Farm, has paid her premiums each year since she bought her home 50 years ago. She has never filed a claim. But she has seen her rate increase 78% in the past two years. Her agent has told her that her fire coverage will be replaced with the state-run FAIR plan in 2025, an increasingly common insurer strategy that leaves homeowners paying more for less coverage.
Sharon Goldman poses for a portrait in Pacific Palisades in June. She is one of the many California homeowners struggling to maintain home insurance as costs increase and policies are dropped due to wildfire risk.
(Dania Maxwell/Los Angeles Times)
Goldman and her neighbors are left wondering what options they have left. She hears stories of people paying tens of thousands a year, an impossible amount for her to cover on her retirement budget. She has started looking into moving out of state and out of the home where she raised her children.
While the state does not require insurance, mortgage lenders do. So, going without is not an option for many. Those whose mortgage is paid off, like Goldman, may not be comfortable leaving their home, typically their most expensive asset, uninsured. High rates and loss of fire coverage have pushed desperate homeowners to riskier nonadmitted carriers or to the state-run FAIR plan, meant to be the plan of last resort. But the California Department of Insurance worries that it is quickly becoming overburdened.
Over the past year, Insurance Commissioner Ricardo Lara has been rolling out his plan to increase policy writing in vulnerable areas and get people off of the FAIR plan. One big component of his strategy is allowing insurers to use wildfire catastrophe models to set overall rates. Insurers say the tool would help them more accurately predict the correct rate for the amount of risk.
As a trade-off, Lara says companies that use these models will be required to increase service in distressed areas with a high wildfire risk and a high concentration of FAIR plan policies.
In public workshops held by the Department of Insurance, consumer advocates raised concerns about a lack of transparency with “black box” models that may be used to justify unnecessary rate hikes. Industry advocates are concerned the plan will take too long to implement when they desperately need changes now.
How likely is it a house will be damaged in a wildfire?
There are many versions of catastrophe models. Each modeling company has their own proprietary analysis but they all generally use the same data inputs to answer the same question.
The Harwarden fire burned over 500 acres, destroying three large homes and damaging seven others.
(Jen Osborne / For the Times)
Each modeled event starts with an ignition, the probability that a fire will start at that location, spread, the probability that the fire will travel based on the land cover in the area, and property characteristics. Using those data, the model simulates a large number of possible outcomes for a given location, estimates the likelihood that a structure will burn from wildfire, and calculates the loss for any buildings there.
The USDA Forest Service developed a national analysis of wildfire risk that is similar to what models created for insurance companies would look like. Based on vegetation and fire-behavior fuel models, topographic data, historical weather patterns and long-term simulations of large wildfire behavior, their wildfire likelihood map shows the probability of a fire in any given year.
A critical part of predicting the potential spread of the fire is the available fuel. The Forest Service’s land cover classifications are used in many wildfire models. They specify 40 different fuel types such as grass, shrub, timber, and nonburnable types. Each category is further subdivided based on depth of the cover and humidity or aridity of the climate.
For example, in an arid climate, coarse continuous grass at a depth of 3 feet would have a very high spread rate. A combination of low grass or shrubs and dead leaves or needles in the forest would have a low spread rate.
Property characteristics such as the type of roof or whether the siding is fire-resistive make a significant difference in whether a structure will ignite from wildfire embers. The Center for Insurance Policy and Research found that structural modifications can reduce wildfire risk up to 40%, and structural and vegetation modifications combined can reduce wildfire risk up to 75%.
All of these factors are combined in the model with information about the rebuilding cost and level of coverage to generate an amount of risk unique to the individual property.
Could these models turn the industry around?
Currently, companies are required to calculate their projected losses, on which their overall rates are based, using a historical view of wildfire loss over the previous 20 years. As wildfires increase, however, this means that the average loss trails behind the current state of wildfire risk.
Nancy Watkins, an actuary and principal at the insurance consulting firm Milliman, said that she believes the inclusion of catastrophe models could save the industry. She analyzed the effect of a model on rates compared with using just historical experience. While the rates would generally be higher, the increases would be more even.
In April during a public meeting, Allstate said that if wildfire catastrophe models were allowed, they would once again start writing new policies in the state.
But wildfire catastrophe models are already used by insurance companies in California for some business decisions and have been for some time. They use models to determine where to write or renew policies, which is one of the reasons nonrenewals have disproportionately happened in high-risk areas.
In recent rate filings, Allstate, Farmers and State Farm cited a modeled wildfire risk score as the basis for not renewing policies. Allstate used CoreLogic’s Risk Meter score in 2019 to classify all policies that fell above certain risk thresholds as ineligible for renewal. A 2023 filing from Farmers documents eligibility guidelines for new and renewing policies that sets a risk level using Verisk’s FireLine and Zesty.ai’s Z-FIRE scores. State Farm’s recent 30,000 nonrenewals are based on CoreLogic’s Brushfire Risk Layer.
Amy Bach, executive director of United Policyholders, says that wildfire models worked their way into rates without enough state oversight. “We didn’t regulate the use of risk scores and now [they] are having a dramatic impact on the market and the genie is out of the bottle.”
Some companies use models to assess relative risk between properties and adjust individual rates accordingly. State Farm multiplies its base rate by a location rating factor, calculated using catastrophe models produced by CoreLogic and Verisk. Areas with high wildfire risk have seen dramatic increases in the location rating factor in the past few years.
This process is called segmentation and the Department of Insurance is aware that it is opaque. Department spokesperson Michael Soller says, “People do not know what their risk score is. They don’t know what goes into the risk score. It’s a black box. Yet, the risk score can be used to [charge you] double what somebody else pays.”
While these situations are significant for some, they generally only apply to select high-risk properties. The median effect of the location rating factor has remained fairly stable.
But under the commissioner’s new policy, model results could also be incorporated directly into the overall rate. Soller says that one important difference in this new regulation is that for a model to be valid, it will need to incorporate property and community level risk mitigation into rates, including state agency forest thinning and utility company efforts. As more investment goes into making communities safer, in theory the rates should decrease.
Only you can prevent forest fires?
Wildfire mitigation happens at the state and local level. Since 2020, in addition to baseline spending, California has allocated more than $2.6 billion towards its wildfire and forest resilience package. 872 communities in the state are registered participants in Firewise USA, a program administered by the National Fire Protection Association that sets standards for fire safety.
For an individual, retrofitting one’s home for wildfire resistance is not cheap. On average, homeowners spend $15,000 on a new roof.
As of October 2022, companies such as State Farm that use wildfire models in segmentation are already supposed to give mitigation discounts. A February filing from State Farm breaks down how their discounts would work in a low-, medium- and high-risk area.
For the low-risk group, the dollar amount saved may not be worth the investment in mitigation. For the high-risk group, the slightly lower percentage reductions would still result in more substantial dollar amounts saved.
According to the State Farm documents, these discounts are given at a set rate for all properties across the state. Granular catastrophe models take into account the impact of mitigation on the property level, nearby community mitigation and any recent wildfire history that might indicate a temporarily reduced risk.
However, a complaint raised several times during the regulation workshops was that when homeowners do spend money, often thousands, on lowering risk, they do not see any changes in their insurance premiums. Some say their policies were still dropped.
Goldman has already completed the property-level mitigation work. She has a class A Spanish tile roof. She does the brush clearance every year. This past year it cost about $1,200. She even has an outdoor sprinkler system. But she did not learn about mitigation from her insurance company. Instead, it was on one of Bach’s monthly educational community calls where she got the idea to install fire-resistant vents.
Sharon Goldman walks through the exterior of her home where she has lived for about 50 years and raised four kids in Pacific Palisades. (Dania Maxwell/Los Angeles Times)
And yet, she has not received a mitigation credit from State Farm and has not received any information about how to receive one. When she asked her agent whether the work she had done on her home qualified for a discount he said no. The Department of Insurance says that they review consumer complaints for rate accuracy and conduct regular examinations of insurance companies. They noted that concerned consumers should contact them to review their specific situation.
Making models a reality
The catastrophe modeling regulation requires insurers to submit their modeling information to the Department of Insurance for review by an internal model advisor and any necessary consultants. Some proprietary information is allowed to remain confidential but proponents of the plan say that the regulators will have all the information they need to assess the models even if the general public does not.
Firefighters work to douse a home on fire in Harwarden Hills, a high-end living community in Riverside.
(Jen Osborne / For The Times)
The department says it is still considering public input from the most recent workshop and has no further plans for additional workshops. Once the regulation is finalized there will be a public hearing. Commissioner Lara plans to have this regulation and the rest of the Sustainable Insurance Plan in place by the end of the year.
In addition to forward-looking catastrophe models, Lara’s plan will introduce the ability for insurance companies to include reinsurance costs in rates and to increase coverage in the FAIR plan. Details for both of those changes are expected to be released this month.
Business
Commentary: A leading roboticist punctures the hype about self-driving cars, AI chatbots and humanoid robots
It may come to your attention that we are inundated with technological hype. Self-driving cars, human-like robots and AI chatbots all have been the subject of sometimes outlandishly exaggerated predictions and promises.
So we should be thankful for Rodney Brooks, an Australian-born technologist who has made it one of his missions in life to deflate the hyperbole about these and other supposedly world-changing technologies offered by promoters, marketers and true believers.
As I’ve written before, Brooks is nothing like a Luddite. Quite the contrary: He was a co-founder of IRobot, the maker of the Roomba robotic vacuum cleaner, though he stepped down as the company’s chief technology officer in 2008 and left its board in 2011. He’s a co-founder and chief technology officer of RobustAI, which makes robots for factories and warehouses, and former director of computer science and artificial intelligence labs at Massachusetts Institute of Technology.
Having ideas is easy. Turning them into reality is hard. Turning them into being deployed at scale is even harder.
— Rodney Brooks
In 2018, Brooks published a post of dated predictions about the course of major technologies and promised to revisit them annually for 32 years, when he would be 95. He focused on technologies that were then — and still are — the cynosures of public discussion, including self-driving cars, human space travel, AI bots and humanoid robots.
“Having ideas is easy,” he wrote in that introductory post. “Turning them into reality is hard. Turning them into being deployed at scale is even harder.”
Brooks slotted his predictions into three pigeonholes: NIML, for “not in my lifetime,” NET, for “no earlier than” some specified date, and “by some [specified] date.”
On Jan. 1 he published his eighth annual predictions scorecard. He found that over the years “my predictions held up pretty well, though overall I was a little too optimistic.”
For example in 2018 he predicted “a robot that can provide physical assistance to the elderly over multiple tasks [e.g., getting into and out of bed, washing, using the toilet, etc.]” wouldn’t appear earlier than 2028; as of New Year’s Day, he writes, “no general purpose solution is in sight.”
The first “permanent” human colony on Mars would come no earlier than 2036, he wrote then, which he now calls “way too optimistic.” He now envisions a human landing on Mars no earlier than 2040, and the settlement no earlier than 2050.
A robot that seems “as intelligent, as attentive, and as faithful, as a dog” — no earlier than 2048, he conjectured in 2018. “This is so much harder than most people imagine it to be,” he writes now. “Many think we are already there; I say we are not at all there.” His verdict on a robot that has “any real idea about its own existence, or the existence of humans in the way that a 6-year-old understands humans” — “Not in my lifetime.”
Brooks points out that one way high-tech promoters finesse their exaggerated promises is through subtle redefinition. That has been the case with “self-driving cars,” he writes. Originally the term referred to “any sort of car that could operate without a driver on board, and without a remote driver offering control inputs … where no person needed to drive, but simply communicated to the car where it should take them.”
Waymo, the largest purveyor of self-driven transport, says on its website that its robotaxis are “the embodiment of fully autonomous technology that is always in control from pickup to destination.” Passengers “can sit in the back seat, relax, and enjoy the ride with the Waymo Driver getting them to their destination safely.”
Brooks challenges this claim. One hole in the fabric of full autonomy, he observes, became clear Dec. 20, when a power blackout blanketing San Francisco stranded much of Waymo’s robotaxi fleet on the streets. Waymos, which can read traffic lights, clogged intersections because traffic lights went dark.
The company later acknowledged its vehicles occasionally “require a confirmation check” from humans when they encounter blacked-out traffic signals or other confounding situations. The Dec. 20 blackout, Waymo said, “created a concentrated spike in these requests,” resulting in “a backlog that, in some cases, led to response delays contributing to congestion on already-overwhelmed streets.”
It’s also known that Waymo pays humans to physically deal with vehicles immobilized by — for example — a passenger’s failure to fully close a car door when exiting. They can be summoned via the third-party app Honk, which chiefly is used by tow truck operators to find stranded customers.
“Current generation Waymos need a lot of human help to operate as they do, from people in the remote operations center to intervene and provide human advice for when something goes wrong, to Honk gig workers scampering around the city,” Brooks observes.
Waymo told me its claim of “fully autonomous” operation is based on the fact that the onboard technology is always in control of its vehicles. In confusing situations the car will call on Waymo’s “fleet response” team of humans, asking them to choose which of several optional paths is the best one. “Control of the vehicle is always with the Waymo Driver” — that is, the onboard technology, spokesman Mark Lewis told me. “A human cannot tele-operate a Waymo vehicle.”
As a pioneering robot designer, Brooks is particularly skeptical about the tech industry’s fascination with humanoid robots. He writes from experience: In 1998 he was building humanoid robots with his graduate students at MIT. Back then he asserted that people would be naturally comfortable with “robots with humanoid form that act like humans; the interface is hardwired in our brains,” and that “humans and robots can cooperate on tasks in close quarters in ways heretofore imaginable only in science fiction.”
Since then it has become clear that general-purpose robots that look and act like humans are chimerical. In fact in many contexts they’re dangerous. Among the unsolved problems in robot design is that no one has created a robot with “human-like dexterity,” he writes. Robotics companies promoting their designs haven’t shown that their proposed products have “multi-fingered dexterity where humans can and do grasp things that are unseen, and grasp and simultaneously manipulate multiple small objects with one hand.”
Two-legged robots have a tendency to fall over and “need human intervention to get back up,” like tortoises fallen on their backs. Because they’re heavy and unstable, they are “currently unsafe for humans to be close to when they are walking.”
(Brooks doesn’t mention this, but even in the 1960s the creators of “The Jetsons” understood that domestic robots wouldn’t rely on legs — their robot maid, Rosie, tooled around their household on wheels, a perception that came as second nature to animators 60 years ago but seems to have been forgotten by today’s engineers.)
As Brooks observes, “even children aged 3 or 4 can navigate around cluttered houses without damaging them. … By age 4 they can open doors with door handles and mechanisms they have never seen before, and safely close those doors behind them. They can do this when they enter a particular house for the first time. They can wander around and up and down and find their way.
“But wait, you say, ‘I’ve seen them dance and somersault, and even bounce off walls.’ Yes, you have seen humanoid robot theater. “
Brooks’ experience with artificial intelligence gives him important insights into the shortcomings of today’s crop of large language models — that’s the technology underlying contemporary chatbots — what they can and can’t do, and why.
“The underlying mechanism for Large Language Models does not answer questions directly,” he writes. “Instead, it gives something that sounds like an answer to the question. That is very different from saying something that is accurate. What they have learned is not facts about the world but instead a probability distribution of what word is most likely to come next given the question and the words so far produced in response. Thus the results of using them, uncaged, is lots and lots of confabulations that sound like real things, whether they are or not.”
The solution is not to “train” LLM bots with more and more data, in the hope that eventually they will have databases large enough to make their fabrications unnecessary. Brooks thinks this is the wrong approach. The better option is to purpose-build LLMs to fulfill specific needs in specific fields. Bots specialized for software coding, for instance, or hardware design.
“We need guardrails around LLMs to make them useful, and that is where there will be lot of action over the next 10 years,” he writes. “They cannot be simply released into the wild as they come straight from training. … More training doesn’t make things better necessarily. Boxing things in does.”
Brooks’ all-encompassing theme is that we tend to overestimate what new technologies can do and underestimate how long it takes for any new technology to scale up to usefulness. The hardest problems are almost always the last ones to be solved; people tend to think that new technologies will continue to develop at the speed that they did in their earliest stages.
That’s why the march to full self-driving cars has stalled. It’s one thing to equip cars with lane-change warnings or cruise control that can adjust to the presence of a slower car in front; the road to Level 5 autonomy as defined by the Society of Automotive Engineers — in which the vehicle can drive itself in all conditions without a human ever required to take the wheel — may be decades away at least. No Level 5 vehicles are in general use today.
Believing the claims of technology promoters that one or another nirvana is just around the corner is a mug’s game. “It always takes longer than you think,” Brooks wrote in his original prediction post. “It just does.”
Business
Versant launches, Comcast spins off E!, CNBC and MS NOW
Comcast has officially spun off its cable channels, including CNBC and MS NOW, into a separate company, Versant Media Group.
The transaction was completed late Friday. On Monday, Versant took a major tumble in its stock market debut — providing a key test of investors’ willingness to hold on to legacy cable channels.
The initial outlook wasn’t pretty, providing awkward moments for CNBC anchors reporting the story.
Versant fell 13% to $40.57 a share on its inaugural trading day. The stock opened Monday on Nasdaq at $45.17 per share.
Comcast opted to cast off the still-profitable cable channels, except for the perennially popular Bravo, as Wall Street has soured on the business, which has been contracting amid a consumer shift to streaming.
Versant’s market performance will be closely watched as Warner Bros. Discovery attempts to separate its cable channels, including CNN, TBS and Food Network, from Warner Bros. studios and HBO later this year. Warner Chief Executive David Zaslav’s plan, which is scheduled to take place in the summer, is being contested by the Ellison family’s Paramount, which has launched a hostile bid for all of Warner Bros. Discovery.
Warner Bros. Discovery has agreed to sell itself to Netflix in an $82.7-billion deal.
The market’s distaste for cable channels has been playing out in recent years. Paramount found itself on the auction block two years ago, in part because of the weight of its struggling cable channels, including Nickelodeon, Comedy Central and MTV.
Management of the New York-based Versant, including longtime NBCUniversal sports and television executive Mark Lazarus, has been bullish on the company’s balance sheet and its prospects for growth. Versant also includes USA Network, Golf Channel, Oxygen, E!, Syfy, Fandango, Rotten Tomatoes, GolfNow, GolfPass and SportsEngine.
“As a standalone company, we enter the market with the scale, strategy and leadership to grow and evolve our business model,” Lazarus, who is Versant’s chief executive, said Monday in a statement.
Through the spin-off, Comcast shareholders received one share of Versant Class A common stock or Versant Class B common stock for every 25 shares of Comcast Class A common stock or Comcast Class B common stock, respectively. The Versant shares were distributed after the close of Comcast trading Friday.
Comcast gained about 3% on Monday, trading around $28.50.
Comcast Chairman Brian Roberts holds 33% of Versant’s controlling shares.
Business
Ties between California and Venezuela go back more than a century with Chevron
As a stunned world processes the U.S. government’s sudden intervention in Venezuela — debating its legality, guessing who the ultimate winners and losers will be — a company founded in California with deep ties to the Golden State could be among the prime beneficiaries.
Venezuela has the largest proven oil reserves on the planet. Chevron, the international petroleum conglomerate with a massive refinery in El Segundo and headquartered, until recently, in San Ramon, is the only foreign oil company that has continued operating there through decades of revolution.
Other major oil companies, including ConocoPhillips and Exxon Mobil, pulled out of Venezuela in 2007 when then-President Hugo Chávez required them to surrender majority ownership of their operations to the country’s state-controlled oil company, PDVSA.
But Chevron remained, playing the “long game,” according to industry analysts, hoping to someday resume reaping big profits from the investments the company started making there almost a century ago.
Looks like that bet might finally pay off.
In his news conference Saturday, after U.S. Special Forces snatched Venezuelan President Nicolás Maduro and his wife in Caracas and extradited them to face drug-trafficking charges in New York, President Trump said the U.S. would “run” Venezuela and open more of its massive oil reserves to American corporations.
“We’re going to have our very large U.S. oil companies, the biggest anywhere in the world, go in, spend billions of dollars, fix the badly broken infrastructure, the oil infrastructure, and start making money for the country,” Trump said during a news conference Saturday.
While oil industry analysts temper expectations by warning it could take years to start extracting significant profits given Venezuela’s long-neglected, dilapidated infrastructure, and everyday Venezuelans worry about the proceeds flowing out of the country and into the pockets of U.S. investors, there’s one group who could be forgiven for jumping with unreserved joy: Chevron insiders who championed the decision to remain in Venezuela all these years.
But the company’s official response to the stunning turn of events has been poker-faced.
“Chevron remains focused on the safety and well-being of our employees, as well as the integrity of our assets,” spokesman Bill Turenne emailed The Times on Sunday, the same statement the company sent to news outlets all weekend. “We continue to operate in full compliance with all relevant laws and regulations.”
Turenne did not respond to questions about the possible financial rewards for the company stemming from this weekend’s U.S. military action.
Chevron, which is a direct descendant of a small oil company founded in Southern California in the 1870s, has grown into a $300-billion global corporation. It was headquartered in San Ramon, just outside of San Francisco, until executives announced in August 2024 that they were fleeing high-cost California for Houston.
Texas’ relatively low taxes and light regulation have been a beacon for many California companies, and most of Chevron’s competitors are based there.
Chevron began exploring in Venezuela in the early 1920s, according to the company’s website, and ramped up operations after discovering the massive Boscan oil field in the 1940s. Over the decades, it grew into Venezuela’s largest foreign investor.
The company held on over the decades as Venezuela’s government moved steadily to the left; it began to nationalize the oil industry by creating a state-owned petroleum company in 1976, and then demanded majority ownership of foreign oil assets in 2007, under then-President Hugo Chávez.
Venezuela has the world’s largest proven crude oil reserves — meaning they’re economical to tap — about 303 billion barrels, according to the U.S. Energy Information Administration.
But even with those massive reserves, Venezuela has been producing less than 1% of the world’s crude oil supply. Production has steadily declined from the 3.5 million barrels per day pumped in 1999 to just over 1 million barrels per day now.
Currently, Chevron’s operations in Venezuela employ about 3,000 people and produce between 250,000 and 300,000 barrels of oil per day, according to published reports.
That’s less than 10% of the roughly 3 million barrels the company produces from holdings scattered across the globe, from the Gulf of Mexico to Kazakhstan and Australia.
But some analysts are optimistic that Venezuela could double or triple its current output relatively quickly — which could lead to a windfall for Chevron.
The Associated Press contributed to this report.
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