All too often, one’s creditworthiness is mistaken for one’s trustworthiness. Our credit scores are used to determine 90 percent of credit decisions, and can affect whether we’re able to rent an apartment, buy a car, or even get a job. And for an awful lot of Americans, that’s a really big problem.


According to the FDIC, approximately 28 percent of U.S. households are un-or underbanked. That means they don’t have access to FDIC-insured institutions, and must attain their financial services from non-insured organizations like a non-bank lender or check casher (the home of nefarious “payday loans”). While some families or individuals may have opted out of the banking system entirely, the majority of the underbanked never had a choice in the first place: They simply don’t have the credit history to demonstrate that they are reliable borrowers.

Lately, however, there has been a push to find a way to replace or reinvent the current credit score. Even a young man named Louis Beryl—a graduate of Princeton, former Morgan Stanley employee, and, as he puts it, “just about the most low-risk person possible”—was flat-out denied by several private loan companies while he was attending Harvard business school. He needed a co-signer to guarantee his loan before he was approved.

Beryl went on to launch a company called Earnest in 2013 to help lower the high costs and barriers to credit faced by otherwise financially responsible people. Rather than viewing applicants as numbers, Beryl says Earnest assesses them as individuals—reviewing LinkedIn and other social profiles, education level, work history, utility payments, real-time payment behavior, cash flow, savings over time, salary, and earning potential—to determine whether someone might be a trustworthy borrower. Beryl describes Earnest as “more of a first resort than a last resort” for loans and credit; many loans are typically approved and fulfilled in under two days.

Earnest isn’t alone: LendUp similarly mines borrowers’ Facebook and Twitter accounts for factors that indicate whether they’ll be likely to default, as does Affirm, which also gleans information from cellphone accounts. Beryl says this kind of data analysis will become more and more common, especially as more young people approach financial maturity. Without a long credit history, even the most successful millennial may struggle with the asymmetrical gap between their online reputations and what banks traditionally care about.

For people who have less access than a former Ivy Leaguer, FactorTrust might be an option. This credit bureau was developed specifically for those without a financial institution, using a proprietary database of underbanked consumer loan performance and third-party data sources to determine creditworthiness.

FactorTrust CEO Greg Rable says that though “non-prime consumers” have been overlooked traditionally, they are finally able to get some attention through alternatives to the credit score. Rable is quick to add, however, that though social media data is an intriguing way to assess one’s social standing and professional connections, regulatory and compliance frameworks simply haven’t caught up with these kinds of innovations. Essentially, people who rely too much on the dream of the “social” credit score are as stranded as ever.

For more traditional financial stalwarts, there may be yet another way to assess credit newbies: Since November 2014, a new pilot program—still unnammed and developed by the Fair Isaac Corporation, Equifax, and LexisNexis Risk Solutions—has been trying to dig up the true value and meaning of our current credit score system, assessing whether there’s a better way to paint a complete, accurate picture of borrowers.

This new solution, though still in its infancy, could potentially upend our current socieconomic system, making auto loans, mortgages, credit cards, and jobs accessible to as many as 53 million new people by taking financial institutions out of the equation. Instead, the program will calculate a score based on consumers’ payment history when it comes to cable, cellphone, electric and gas bills, as well as how often he or she changes addresses, among other factors.

According to Jason Flemish, Vice President of Consumer Credit and Risk Products at Equifax, this kind of data is valuable because of two factors: the breadth of coverage, and predictability of the data source. “Real-time payment behavior data—such as how timely a consumer is when paying their cell phone bill—is a very desirable data source,” he said. “This is because it is a good indicator of how [well] the consumer would treat a future line of credit.”

It may seem like alternative data is all the rage right now, but Chi Chi Wu, an attorney at the National Consumer Law Center, warns that not all data is created equal. She says that data from utility companies in particular is problematic, as these bills can fluctuate wildly (think of a winter heating bill in Boston, for example), which may leave people falling short at certain times of the year—and even negatively impact their ability to get credit in the future.

Wu also points out there is a vicious cycle in this kind of credit reporting. If something bad happens—say an illness or accident—and leaves someone in a bad spot, instant real-time financial data may make it harder for borrowers to regain control of their personal and professional lives. Nearly fifty percent of employers use credit scores when making hiring decisions for some positions, says Wu.

“Using alternative data doesn’t get rid of those problems,” she says. “It’s a different type of data, but if you have a consumer who [faces unpredictable obstacles], they’re as likely not to pay their phone bill as anything else.”

Wu suggests the answer may lie in a combination of returning to fundamentals of underwriting—like getting to know customers’ ability to pay—alongside new methods of analysis. Earnest’s Beryl sees a rosier future. “Ultimately, we’re talking about people who are financially responsible paying far less through a more fluid system.”

  • Man’s dog suddenly becomes protective of his wife, Internet clocks the reason right away
    Dogs have impressive observational powers.Photo credit: Canva

    Reddit user Girlfriendhatesmefor’s three-year-old pitbull, Otis, had recently become overprotective of his wife. So he asked the online community if they knew what might be wrong with the dog.

    “A week or two ago, my wife got some sort of stomach bug,” the Reddit user wrote under the subreddit /r/dogs. “She was really nauseous and ill for about a week. Otis is very in tune with her emotions (we once got in a fight and she was upset, I swear he was staring daggers at me lol) and during this time didn’t even want to leave her to go on walks. We thought it was adorable!”

    His wife soon felt better, butthe dog’s behavior didn’t change.

    pregnancy signs, dogs and pregnancy, pitbull behavior, pet intuition, dog overprotection, Reddit stories, viral Reddit, dog instincts, canine emotions, dog owner tips
    Otis knew before they did. Canva

    Girlfriendhatesmefor began to fear that Otis’ behavior may be an early sign of an aggression issue or an indication that the dog was hurt or sick.

    So he threw a question out to fellow Reddit users: “Has anyone else’s dog suddenly developed attachment/aggression issues? Any and all advice appreciated, even if it’s that we’re being paranoid!”

    The most popular response to his thread was by ZZBC.

    Any chance your wife is pregnant?

    ZZBC | Reddit

    The potential news hit Girlfriendhatesmefor like a ton of bricks. A few days later, Girlfriendhatesmefor posted an update and ZZBC was right!

    “The wifey is pregnant!” the father-to-be wrote. “Otis is still being overprotective but it all makes sense now! Thanks for all the advice and kind words! Sorry for the delayed reply, I didn’t check back until just now!”

    Redditors responded with similar experiences.

    Anecdotal I know but I swear my dog knew I was pregnant before I was. He was super clingy (more than normal) and was always resting his head on my belly.

    realityisworse | Reddit

    So why do dogs get overprotective when someone is pregnant?

    Jeff Werber, PhD, president and chief veterinarian of the Century Veterinary Group in Los Angeles, told Health.com that “dogs can also smell the hormonal changes going on in a woman’s body at that time.” He added the dog may “not understand that this new scent of your skin and breath is caused by a developing baby, but they will know that something is different with you—which might cause them to be more curious or attentive.”

    The big lesson here is to listen to your pets and to ask questions when their behavior abruptly changes. They may be trying to tell you something, and the news may be life-changing.

    This article originally appeared last year.

  • Throughout history, women have stood up and fought to break down barriers imposed on them from stereotypes and societal expectations. The trailblazers in these photos made history and redefined what a woman could be. In doing so, they paved the way for future generations to stand up and continue to fight for equality.

  • ,

    Why mass shootings spawn conspiracy theories

    Mass shootings and conspiracy theories have a long history.

    While conspiracy theories are not limited to any topic, there is one type of event that seems particularly likely to spark them: mass shootings, typically defined as attacks in which a shooter kills at least four other people.

    When one person kills many others in a single incident, particularly when it seems random, people naturally seek out answers for why the tragedy happened. After all, if a mass shooting is random, anyone can be a target.

    Pointing to some nefarious plan by a powerful group – such as the government – can be more comforting than the idea that the attack was the result of a disturbed or mentally ill individual who obtained a firearm legally.


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