logo
Nearly half of Fresno residents will flee due to climate risks, report predicts

Nearly half of Fresno residents will flee due to climate risks, report predicts

Yahoo6 days ago

Reality Check is a Fresno Bee series holding those in power to account and shining a light on their decisions. Have a tip? Email tips@fresnobee.com.
A new risk report from a private firm predicts a large exodus of residents from Fresno County as the effects of climate change exacerbate the region's issues and costs of living in the next three decades.
The risk-assessing firm, First Street, calculated 45.8% of Fresno County residents would abandon the county by 2055 because of rising insurance rates and decreasing land values.
The report also projected a nearly 15% impact on costs in the region as home values decrease and the cost to insure them rise.
Fresno topped the list of the areas effected most above Sacramento County and a couple of counties in New Jersey.
The firm's prediction showed Fresno's hot weather and poor air quality could continue to worsen, driving down the desirability of the homes and pushing up insurance rates.
Other parts of California have stronger economic outlooks that could help mitigate those issues, but Fresno's economic health typically struggles, noted Jeremy Porter, the head of climate implications for First Street.
'Fresno has had relatively stagnant economic growth with baseline population forecasts showing a stagnant growth rate into the future,' he said in an email. 'Together these indicators serve to amplify the impact of the climate risk that does exist.'
Experts in the San Joaquin Valley who spoke with The Bee expressed skepticism of the report's bold assessment of Fresno County.
While climate change would be expected to lead to displacement of residents, predicting the magnitude gets shaky because it includes so many factors, according to Naomi Bick, a Fresno State professor who studies climate change and urban politics.
'It's hard to know exactly how bad that abandonment and people leaving will be, because it depends on how other areas are as well and what they're facing,' she said. 'And then also what cities and counties and places do to prepare for climate change.'
But, Bick said, the Valley is known to have disadvantaged communities, which could have greater difficulty adapting.
Along with the rising temperature from climate change, the Valley could expect to see wider fluctuations in precipitation, according to Crystal Kolden, a professor and director of the UC Merced Fire Resilience Center.
The Valley got a taste of those fluctuations in 2023 when unusually heavy rainfall fell on the snowpacked Sierra and resurrected Tulare Lake. Years with record-breaking rainfall could be followed by severe droughts under the weather swings of climate change.
Kolden said she was skeptical of the First Street report, particularly as it pertains to wildfires, saying its assessment of Fresno does not delineate between the fire hazards of the flammable foothills and the less serious potential for fire in the Valley.
The Valley's air can be affected by the occasional wildfire as it was during the Creek Fire in 2020, but often winds send the smoke east.
'I have not yet seen the types of risk models that have any level of accuracy about wildfire smoke in the future in part because it's so dependent upon low and high pressure systems moving through,' she said.
The assessment also does not account for engineering solutions municipalities can develop to compensate for changes. First Street projected out to 2055 assuming no change to modern mitigation.
'In California, we just keep rebuilding and we figure out how to engineer our way out of it,' Kolden said. 'People are not depopulating hot areas. They're figuring out how to develop engineering solutions that allow for cooling.'
Scientists are already working on solutions for re-purposing irrigated cropland, which is expected to lead to improvements in the Valley when it comes to the effects of climate change, according to Angel S. Fernandez-Bou of the Union of Concerned Scientists based in Merced.
He said the First Street report uses 'coarse' data that can be less accurate.
'The report doesn't consider what we in the (San Joaquin Valley) are already doing to make this a better place,' he said in an email. 'I think we can transform the Valley into a climate resilient region.'
The way insurance companies approach the state of California has begun to change due to climate change. State Farm stopped issuing new policies and this year requested fee hikes by an average of 22%.
Home buyers seek out homes for their school districts or other desirable characteristics, and are rarely asking about potential hazards, according to Ken Neufeld, a broker with London Properties in Fresno for 45 years.
'Flooding is hardly on the radar,' he said.
Brokers provide home buyers with information for homes in natural disaster zones, he said, but flooding only comes into question in areas where a breach of a dam would cause flooding.
While buyers aren't asking about climate risks, they're often forced to insure against them, according to Jason Farris, president-elect of the Fresno Association of Realtors. He said he's been asked about flood zones fewer than five times in the last two decades.
'People are getting quotes for insurance premiums before getting into escrow on the property,' he said. 'People are spending a lot of money to get into a home.'
But the Valley's climate experts say it'll take political will to adopt mitigating regulations and the participation of the region's residents to lighten the potential climate issues.
Kolden said people often return to burned down foothills or flooded lowlands to rebuild and only leave the most undesirable areas behind.
'It is up to the local municipality, whether it's a county or incorporated areas, a town or a city, to actually enforce those codes,' Kolden said. 'When these communities are rebuilding after a fire, there's an enormous amount of political pressure to not hold people to those standards.'

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Lightroom is working on a solution to my most-hated part of photo editing – and I couldn't be more excited
Lightroom is working on a solution to my most-hated part of photo editing – and I couldn't be more excited

Yahoo

time12 minutes ago

  • Yahoo

Lightroom is working on a solution to my most-hated part of photo editing – and I couldn't be more excited

When you buy through links on our articles, Future and its syndication partners may earn a commission. Between taking photos and editing photos sits one of my least favorite parts of photography: culling, or the process of choosing which photos to edit. As a wedding photographer, culling a gallery of several thousand images takes hours of clicking through to find the best shots. But Adobe Lightroom is working on a new tool that could help speed up the culling process. In a teaser on social media, Adobe shared that developers are working on AI filters, a tool that works to recognize throw-away shots, like shots that are out of focus and blinking portraits. The AI filters, like many of the Lightroom tools, use a slider, allowing photographers to control how strictly to apply these auto-selection filters. A clean-up slider will also help remove accidental shutter triggers, as well as shots that are over- or underexposed. The AI will also be able to auto-group similar shots together, like those taken with burst mode. AI culling tools aren't new – but the tools that exist are third-party platforms and plug-ins that add to the growing number of subscriptions. While I hate culling, my growing subscription aversion has prevented me from buying AI culling software. The idea of getting faster culling without another subscription is one that I can get on board with (albeit one that has recently increased in price). I'm a Lightroom Classic user, and many of the latest AI-based tools have saved me a lot of time. If AI can do to culling what subject selection did to masking, then such a tool would save me hours of sifting through photographs. Sometimes, accidental photos end up as happy surprises – an out-of-focus shot that still captures the emotion of the moment, for example. That's why I'm excited by AI-supportive culling that adds speed yet still leaves the photographer in the driver's seat. But where I think AI culling can save the most time is picking the best shot out of several similar images. I spent a lot of time looking at similar photos to find the one that's the sharpest and discarding the close-eye shots. When I chatted with Adobe during the B&H Bild Expo in New York, Adobe indicated the AI filtering would be coming later this year to both Lightroom Classic and Lightroom Desktop. AI-based subject detection has saved me hours on tasks like whitening teeth, without even using generative AI. I have high hopes that the upcoming Lightroom AI Filters tool brings more of the same time-saving shortcuts to culling. Tired of culling too? Browse the best photo culling software. Or, take a look at the best photo editing software.

AppLovin: The advertising giant in the making
AppLovin: The advertising giant in the making

Yahoo

timean hour ago

  • Yahoo

AppLovin: The advertising giant in the making

Introduction AppLovin is a premier mobile technology company that has transitioned from a mobile gaming developer to a full-fledged app marketing and monetization platform. It was established in 2012 and is based in Palo Alto, California. The company operates two main business units: Software Platform and Apps. The Software Platform, which is driven by the AI-based AXON engine, is aimed at mobile app developers and it provides them with cutting-edge solutions like user acquisition, monetization, and analytics. This platform is responsible for handling billions of ad requests on a daily basis, as it leverages machine learning algorithms to improve campaign performance and to increase revenue for both advertisers and publishers. Among the key products offered are the MAX mediation platform which is the instrument that allows publishers to operate several ad networks with a single integration, and thorough user acquisition tools that are specifically designed for developers to grow their user bases at the shortest time possible. Warning! GuruFocus has detected 3 Warning Sign with APP. Key Growth Drivers Machine Learning and AI-Powered Optimization The AXON platform that is powered by AppLovin's sophisticated machine learning infrastructure, which is its own product, is the genetic code of the tech advantage of the company. The proprietary AI engine that the company uses, being at the heart of the whole process, is in charge of the incredible computational task of processing a diverse range of data to make real-time decisions on the best ad placements, user acquisition campaigns, and monetization strategies available. By examining the engagement metrics and conversion data, the system constantly improves the targeting accuracy and campaign efficiency besides getting insight from user behavior patterns. This exceptional efficiency, which allows advertisers to make more informed bids on ad inventory while publishers to generate more revenue, is based on the system's predictive capabilities. The platform's establishment to process and learn from billions of pieces of data each day creates a significant barrier for other competitors, as it is developed better with more available data. AXON is the neural network that drives the whole platform with deep learning technology, which is used to explore the user data in a way that traditional analysis tools would not be able to. That is to say, this platform is the most modern digital solution that performs the task of reinforcement learning, where the smart algorithms are given real-time feedback with optimal ad placement and bidding decisions generated automatically. This automated optimization function, which in reality results in the use of less human resources, is achieved compared to the delivering of impressive results using a set of predefined rules. Real-Time Bidding and Programmatic Infrastructure AppLovin has the technology stack including high-performance real-time bidding (RTB) infrastructure capable of processing hundreds of thousands of bid requests per second with sub-100 millisecond response times. This is a low-latency system for mobile advertising where split-second decisions are the determinants of campaign success. The distributed architecture of the platform ensures global scalability and uniform performance, despite different geographic regions. Moreover, the programmatic advertising technology platform includes header bidding alongside the integration allowing publishers to increase their revenue through enabling multi-demand sources to compete for the same inventory simultaneously. The system's complex auction mechanics are not only concerned with bid prices but also take into account user experience, ad quality, and long-term value optimization. However, Applovin's server-side integration mechanisms spare the technical brunt of application developers while presenting centralized data collection and analysis techniques. This approach is compared to client-side implementations, which need multiple SDK integrations, resulting in longer app latency and poor user experience. Data Analytics and Attribution Technology The advanced data analytics structure of the company processes the huge amounts of data it collects to find insights that are valuable for both the advertisers and publishers. More advanced attribution models, in turn, allow for better measurement of the user paths across multiple touchpoints, which translates into higher confidence in the budget allocation decisions. The two ways to attribute the platform's capability are probabilistic and deterministic, which are useful for a much dense privacy environment. AppLovin's analytics tool provides sophisticated analysis of cohorts, predicting lifetime value, and churn modeling to the app developers in an effort to enhance the user acquisition process. The platform's ability to connect the costs of acquiring new users with the value they bring over time means it can help optimize return on ad investment (ROAS) more than measuring just installs can. The company's commitment to using privacy-friendly methods in data collection and analysis ensures that it is well-prepared for the ever-changing legal landscape. Data confidentiality and federated learning methods, together with innovative approaches in data collection, will facilitate users' right to privacy, and continue the optimization process by respecting regulatory mandates. Competition from Technology Giants AppLovin is up against robust competition from technology companies that are using their resources and networks. Google, through its AdMob platform and Google Ads ecosystem, is probably the strongest rival. Google's interconnectedness with Android, YouTube, and its advertising network turned it into a powerhouse that promises premium exposure and fine contracts. Facebook (Meta), through its Audience Network along with the vast amount of data from social media, which makes it possible for precise user targeting and cross-platform campaign management, is another relevant competitor. Apple's recent privacy policies, namely, App Tracking Transparency (ATT), are a mixed-source benefit in the competition scene. The fact is that these issues eliminate some of the attribution and targeting capabilities for a while but at the same time, that would bring balance to the situation by lessening the data advantages that some of the competitors had before. The way to deal with this threat is a concentration on those areas where the giants might not be as swift or/and comprehensive. The deep dive on the mobile gaming and app monetization areas by the company grants the right for more in-depth verticals and exactly tailor-made solutions rather than platform companies do. The optimization brought along with the AXON platform's automatic algorithms for the mobile app environment often results in better performance than generic ad solvers in the scope of new user quality and monetization efficiency. Competition from Specialist Ad Tech Companies The mobile advertising game is competitive with the participation of many niche players, each of whom has identified a particular slice of the market. Unity Technologies is one of them, in particular, because it uses its Unity Ads platform to operate in the same arena as mobile gaming ads and even leverage its game development engine to provide integrated advertising. IronSource (now part of Unity) used to be a significant adversary with its all-in-one platform that handled app monetization and user acquisition comprehensively. Chartboost has a very specific operation model that enables it to focus only on mobile game advertising, which includes direct publisher relationships and extensive knowledge of the gaming industry. Vungle (now part of Liftoff) is a firm that, through its video ad solutions, has added strong creative optimization capabilities. These companies are mostly known for their vibrant industry knowledge and long-standing partnerships defined within the industry sectors. However, these specialized players are giving a tough time with their niche focus, AppLovin is competing against them by bringing extra scale and high-level technology. The yield of billions and billions of ad requests daily makes the company to have the capacity of more effective machine learning optimizationin and standard machine learning schemes. AppLovin's user acquisition, monetization, and analytics in one solution platform and the simplicity of not having to carry out multiple integrations delivers accessibility and effectiveness over single point solutions that require integrations. Strengthened by the right acquisitions, the company is in a stronger position as it has consolidated its market share, and the potential competition was eliminated. The MoPub acquisition from Twitter gave AppLovin a digital publisher relationship and mediation capabilities while other small acquisitions enriched the tech stack and human resources, thus enhancing the platform. Key Risks Risks of Platform Dependency and Ecosystem Control AppLovin is at a high risk concerning the technological factors stemming from its reliance on mobile platforms governed by Apple and Google. Any iOS and Android platform policy changes can, in a matter of seconds, thus alter the way AppLovin operates. The real-time impact of the implementation of Apple's App Tracking Transparency (ATT) framework proved this vulnerability when mobile advertisers immediately lost the ability to accurately attribute and target their ads. The prospective platform issues may involve more rigorous SDK approval processes, more privacy restrictions, or modified app store policies that will limit the advertising functionality altogether. For instance, the introduction of Private Relay in iOS 17 and the addition of enhanced tracking protection greatly narrow data collection capabilities. Although the Privacy Sandbox initiative from Android is still in progress, it poses a serious risk of redefining the way mobile advertising attribution and targeting are done. The technical risk branch out to the potential scenarios of platform fragmentation in which different versions of iOS or Android impose different privacy and advertising restrictions. AppLovin's single platform strategy is rendered more complex as it needs to reconcile with the different technical requirements caused by the braid of platform versions and geographic regions with various regulatory frameworks. Algorithmic and Machine Learning Model Vulnerabilities AXON's machine learning algorithms are the backbone of AppLovin's business edge as they grant a strongly concentrated technical risk around model performance and accuracy. The susceptibility of machine learning models to concept drift, where changing user behavior patterns or market conditions reduce the effectiveness of the model over time, is one of the most common reasons for this fall. The constant mutation of the mobile advertising ecosystem can make the previously useful alphas to be of no use whatsoever. Model bias is another highlight technical risk, this is when the algorithms inadvertently discriminate against some user segments or app categories, which in turn could result in regulatory violations or suboptimal performance outcomes. Attacks that are deceitful to the machine learning systems could influence either the bidding algorithms or the attribution models, which will in turn lead to financial losses and site degradation. The scenario of being data poisoned where the hackers introduce the useless and malicious data into the training datasets has the detrimental effect of degrading the performance of the models or creating vulnerabilities which can be exploited. The scale at which AppLovin is processing data, daily handling over billions of events, is making it more difficult to ensure comprehensive data validation while maintaining the real-time processing needs. The most serious of the risks that are created through overfitting is the one that comes from the models completely specializing in what has been done historically, thereby rendering the generalization capacities for new market conditions or user behaviors very weak. The high focus on the gaming vertical that has led to a competitive advantage could be detrimental if the gaming industry undergoes a drastic change. Valuation The forward P/E ratios for AppLovin portray impressive earnings acceleration with the non-GAAP P/E declining from 45.93x (FY1) to 27.69x (FY3), which suggests an impressive earnings increase, outstripping all but one peer company. It is the market's strong response that makes the compression evident, showing that it appreciates AppLovin's ability to grow the business while also keeping profitability up. The company's PEG ratios of 0.94 (non-GAAP forward) and 0.31 (GAAP TTM) are at a high level with respect to the growth rates making the stock very attractive, at least, it is significantly more attractive than peers like Adobe (1.35) and Cadence (3.09). This fact shows that the value of AppLovin is off the charts due to its markdown price based on its growth potential, which is further elaborated by the large upside that is now available. In contrast to industry rivals, AppLovin's valuation metrics look realistic even if the absolute P/E ratios are higher. Adobe and Cadence declare lesser P/E compression over time, while AppLovin shows signs of higher earnings growth. The absence of profit for a company like MasterCard (negative P/Es) contrasts sharply with AppLovin's prevailing profits in the ad-tech sector. Guru Holdings Lowenstein's 17.19% stake which is equivalent to $762.85 million shows tremendous conviction, especially if we take into consideration the average buy price that he had of $75.06, which is representing a 423.6% gain. Lowenstein's convincing position, which is large in size and yields excellent returns, is an evidence of AppLovin's strategic execution and its growth path. The 12.86% increase in the holdings that Lowenstein took just lately proves that he still has confidence in the company despite the stock's larger rise, which in turn shows that the bottom line is the company's fundamentals rather than the ups and downs of the market. Resnick's 13.47% stake ($740.26M) with an average cost basis of $49.41 (695.4% gain) represents even earlier conviction in AppLovin's transformation story. The stability of his holdings (0% recent change) indicates dissatisfaction with current positioning while maintaining long-term conviction. Both managers' five-star ratings and substantial outperformance demonstrate their investment expertise. ConclusionAppLovin faces strong competition from technology companies like Google, Facebook, and Apple. Google's AdMob platform and Ads ecosystem, coupled with its interconnectedness with Android, YouTube, and its advertising network, offer premium exposure and fine contracts. Facebook's Audience Network and vast data from social media enable precise user targeting and cross-platform campaign management. Apple's recent privacy policies, App Tracking Transparency (ATT), provide mixed-source benefits in the competition scene, but may limit data advantages. To address this threat, AppLovin focuses on mobile gaming and app monetization areas, offering tailored solutions rather than generic ad solvers. The AXON platform's automatic algorithms for the mobile app environment often result in better performance than generic ad solvers in terms of user quality and monetization efficiency. This article first appeared on GuruFocus. Sign in to access your portfolio

Forget Tearing Down the House. Regenerative Design Is on the Rise.
Forget Tearing Down the House. Regenerative Design Is on the Rise.

Yahoo

timean hour ago

  • Yahoo

Forget Tearing Down the House. Regenerative Design Is on the Rise.

While home renovation isn't a novel concept—people have been tweaking and refining their spaces for centuries—the physical act of remodeling is growing increasingly more nuanced. Climate change and its attendant natural disasters, coupled with the rising cost of construction materials (intensified by President Trump's heavy tariffs), are leading design professionals to reassess their approaches to projects and give greater consideration to their decisions' impact on the future. For many years, 'new' was a status symbol, and homeowners rushed to demolish existing rooms or entire structures they deemed outdated, often replacing them with trending styles. Architects clamored to provide clients with bigger and better houses, and in the 1990s and early 2000s, a class of starchitects such as Frank Gehry, Norman Foster, and the late Zaha Hadid cemented their fame by designing flashy museums and skyscrapers, each one seemingly more experimental and outlandish than the next. More from Robb Report Once Considered Passé, Hybrids Roar Back to Offer a Best-of-Both-Worlds Powerhouse Inside Hume Cloister, a $7.5 Million California Estate Inspired by a French Monastery This $11 Million Phoenix Mansion Will Help You Level Up Your Putting Game In a more recent industry-paradigm shift, firms are prioritizing the ecological consequences of their work, the history of a place, and the visual effect that renovating a structure will have on an area. As a result, the tear-it-all-down approach has started to lose its allure and what is known as regenerative design is on the rise—especially among young and emerging studios that are concerned about the future of the planet. This methodology goes beyond 'prettying up' a space, requiring architects to weigh their plans in relationship to the neighborhood and the natural world. It emphasizes using locally sourced materials—and fewer of them—and making decisions that don't just lower environmental impact but in fact reverse it. Strategies can range from restoring a historic home's original architectural details (but updating plumbing and HVAC to meet or even exceed industry standards) to repurposing existing materials during a renovation. Elements such as green walls or systems that collect, purify, and reuse rainwater can actually improve the environment. Unfortunately, these protocols can make a project more expensive and take longer to complete. But for a growing number of firms around the globe, including heavy hitters such as MASS Design Group, Christoph Hesse Architects, SANAA, and i29—not to mention their clients—the extra time and cash are worth it in order to design buildings that, quite literally, make the world a better place. Best of Robb Report The 10 Priciest Neighborhoods in America (And How They Got to Be That Way) In Pictures: Most Expensive Properties Click here to read the full article.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store