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The Most Dangerous Places to Drive on New Year’s

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Millions of Americans travel for New Year’s Eve and Day celebrations, but unfortunately, the last night of the year can be one of the most dangerous for drivers. CarInsurance.com analyzed data from the National Highway Traffic Safety Administration to find that certain states and counties have consistently higher fatality rates on December 31 and January 1. The team identified where and when the risks are highest.

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Where in the United States is it the most dangerous to drive during New Year’s?

The team’s analysis examined NHTSA fatality numbers between 2014 and 2023, then adjusted this data relative to population to calculate the number of fatalities per 100,000 residents. They discovered that these states had the highest per-capita traffic deaths on New Year’s Eve:

  • South Carolina – 1.39 deaths per 100,000 (71 total)
  • Mississippi – 1.35 deaths per 100,000 (40 total)
  • Louisiana – 1.33 deaths per 1000,000 (62 total)

Florida was also a high-risk location. Its deaths per capita rank fourth on the list, but the total number of New Year’s Eve fatalities are much higher than the top three states, with 270 deaths in total. This is largely due to Florida’s large population and number of dangerous counties.

Focusing on these high-risk counties revealed some especially hazardous locations. The deadliest U.S. counties on New Year’s Eve and Day were:

  • Sarasota County, Florida – 2.3 fatalities per 100,000 (10 deaths)
  • Manatee County, Florida – 2.0 per 100,000 (8 deaths)
  • Davidson County, Tennessee – 1.96 per 100,000 (14 deaths)

Sarasota and Manatee counties are both linked to high rates of DUI-related traffic fatalities, which can help explain their placement at the top of the list.

The danger not only varies by place, but by the time of day. On New Year’s Eve, the deadliest hours occur between 2 a.m. and 3 a.m. for 38 recorded fatalities. On New Year’s Day, the early morning hours are by far the most dangerous, with 137 deaths occurring between 2 a.m. and 3 a.m. and 131 deaths between 1 a.m. and 2 a.m.

Over the decades, we see 1,047 deaths on December 31st and 1,474 on January 1st, so New Year’s Day has the most fatalities overall, which is probably due to partygoers under the influence returning home in the early morning hours.

The largest contributor to New Year’s traffic deaths is certainly alcohol impairment. For example, in 2022, 37% of deadly crashes on New Year’s Day involved an alcohol impaired driver. This number varies year-to-year, but it does highlight how common drunk driving is during holiday celebrations.

This pattern aligns with a broader national trend of alcohol-impaired driving leading to traffic fatalities. In 2023, a third of U.S. traffic deaths involved drunk drivers, prompting campaigns run during the holiday period with slogans like, “Drive sober or get pulled over.”

Understanding the safety facts the team outlined can help drivers make safe decisions over the holidays. We can see from the data that they should avoid driving between 1 a.m. and 3 a.m. on New Year’s Eve and New Year’s Day. They should arrange a sober ride and never drive under the influence. Always wear a seatbelt and be extra alert when driving.

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Study Shows Worldwide Opinions on AI Use

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Artificial intelligence has infiltrated our everyday lives thanks to text generative applications. From huge corporations to individual users chatting on their smartphones, AI companies have developed ways to use AI in countless aspects of life. It has the potential to make huge, important leaps in technological progress, but it also comes with a host of concerns and dangers. The team at Qualtrics shows us the many different opinions on AI by mapping out opinions across the world. Their map shows us the percentage of people in each country who think AI has more benefits than drawbacks and vice versa.

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The percentage of people who agree that AI has more benefits than drawbacks around the world

AI is gaining popularity around the world. People are using it at work to automate simple, repetitive tasks, speeding up their processes. It performs well as a data analyst and excels at the most mundane tasks, so many workers feel freed up to use their time and energy on more rewarding, nuanced work that requires creativity. AI can even identify the early stages of disease, allowing overloaded doctors to use it to assist them and process more patients. Many people in the healthcare field hope it will help with new discoveries and medical progress. AI has long been used in smart homes responding to requests to adjust the thermostat, start up a sound system, and monitor security.

Alongside the exciting possibilities AI offers, there are many concerns. AI has been used to create deep fakes, spread misinformation, and displace workers. People fear it could drastically disrupt the economy, and when some countries are considering using it as warfare, it’s natural for major fears to follow. Another major AI concern is resource constraints. Environmentalists have pointed to the heat AI data centers produce and the absolutely massive amount of water they consume to keep them cool.

How do these viewpoints vary around the world? According to the team’s data, China holds the most trust in AI, with 83% believing it brings more benefits than drawbacks. They’re closely followed by Indonesia at 80% and Thailand at 77%. Western European countries seem to be the most hesitant to embrace AI. 47% of German respondents believe AI will do more harm than good, followed by 41% in France and 36% in the Netherlands. This is a less-than-50 % approval rating. The United States has a 39% AI approval rating, but trust in AI there has risen by 4% in the past few years. This is a bit of a surprise, as American companies are leading AI development. This could be due to reports of data centers in the US disrupting neighborhood health and peace.

This map is a fascinating way to examine the rapidly changing world of AI through the lens of public opinion. Confidence in AI seems to be growing, but many unknowns remain regarding its effects on society and health. While some fear it may replace them at their job, others are hopeful that it will make work and life better.

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Which States Cause the Most Damage to Your Car?

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Car damage can occur for several reasons, and we’re all vulnerable to it at any time or place. Weather events are a huge factor in vehicle wear and tear. Hail can be a death sentence for your car, and intense UV radiation and heat can gradually destroy your car’s interior and paint job. Areas that must salt roads in winter do so to keep us safe on the road, but unfortunately, salt also damages cars and breaks down roads, leaving behind dangerous potholes. The Grease Monkey researchers took all these factors and considered them together to create a ranking system to show us the states that do the most damage to cars. Each state in the U.S. is ranked based on the severity of vehicle risk and deterioration.

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Which States Cause the Most Damage to Your Car?

The team notes that hail was one of the most significant factors in their weather analysis. The size of hailstones will determine the damage, and areas with more frequent hailstorms will increase the likelihood of significant damage, such as cracked windows and broken headlights. Snowfall, ice, and sleet also greatly increase the risk of car damage. Frozen mechanical parts are more likely to break, and icy road conditions lead to dangerous crashes. Humid weather in general leads to more rust, so frequent rainfall and salty coastal air can take a slow toll as well. Natural disasters like floods and tornadoes can destroy a vehicle, so the team counted how many of these events each state has experienced since 1953.

Poor roads were another important factor in the team’s analysis. They counted the total percentage of a state’s roads considered to be in “acceptable” condition. Potholes, rough roads, and debris wreck tires, rims, and undercarriage components. Bad roads often have loose rocks that can kick up to shatter a windshield or dent a car’s body. The team found that the states with the worst roads are Rhode Island, Hawaii, New Mexico, Connecticut, and Mississippi. The states with the highest percentage of roads in good condition are Indiana, Kansas, South Dakota, Wyoming, and Vermont.

Combining all of these factors, the Grease Monkey analysis shows us that these ten states will cause the most damage to a car:

– Texas
– Mississippi
– New York
– Delaware
– Oklahoma
– Missouri
– Minnesota
– Kansas
– West Virginia
– North Dakota

This map can help drivers determine what factors are most likely to damage their car based on where they live. While we can’t do much to affect the quality of a state’s roads, it’s a good reminder to be vigilant and slow down for potholes. Heat damage to a car’s interior can be prevented with a sunscreen in the windshield. Building a garage can help protect your car from hail, snow, ice, and rain. Defensive driving will help you to be safe from accidents. People figuring out a car-buying budget can also consider these factors, which drive up insurance premiums.

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Key Statistics Help Us Understand Customer Churn

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Customers have an abundance of choice in all industries these days. When customers switch to a new option, companies call this “customer churn.” Customer churn can be a major detriment to business. In nearly every industry, loyal repeat customers can make or break a business. The team at Qualtrics helps us understand the state of customer churn in the past year with 30 key statistics illustrating the landscape. They took a well-rounded approach to their research, using facts that reveal how many customers are leaving, which industries have high churn, and other factors that help us understand why customer churn happens and how to prevent it.

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30 Statistics About Customer Churn

Customer churn gives businesses a way to quantify how well they’re retaining customers. Churn rate is calculated by dividing the number of customers lost over a set period of time by the total number of customers at the start of that period. This calculation yields the number of customers who didn’t return to do business. High churn rates often signal poor retention strategies or a mismatch between what customers expected and received. We can’t underestimate competitor appeal, though. The team’s data shows that 71% of businesses list price increases as their number one reason for losing customers.

The data make it clear that churn rates vary widely across industries. 61% of retail companies say churn rates are one of the biggest challenges in their quest for success. This could be due to the high level of competition and vastly different prices found in the retail sector. Financial, cable, and credit companies experience high churn rates too, around 25%. We can conclude that spending and saving may have the greatest impact on churn, based on industry rates. The big-box electronics industry only has an 11% churn rate, possibly due to fewer choices, but it may have stronger brand loyalty. For example, you’ll rarely see an X-Box fan make the switch to PlayStation. Speaking of the gaming space, apps don’t enjoy the same low churn rate as consoles might. With a 27.7% churn rate, many people give up on gaming apps and try something new after 30 days.

Data might point the way to solutions to reduce customer churn. We can see subscription-based companies with an exceptionally low churn rate of 3.27%. Software and business subscriptions have lower churn rates than digital media and entertainment subscriptions, but they are still among the lowest we’re seeing. A subscription-based service works hard to keep its subscribers, so maybe other types of businesses could learn something from its strategies. For example, social media apps have an enormous churn rate of 93.3% over 24 months. It’s clear that whatever value customers hoped to get from the platform didn’t materialize.

This information-rich graphic leaves us with a lot to think about. By comparing churn rates across industries, we can reflect on key differences that affect these numbers. Perhaps the most important statistic to hold on to is that U.S. companies could save over $35 billion per year by reducing their churn rates.

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