Math is racist and driving inequality..

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clinker

Trad climber
Santa Cruz, California
Topic Author's Original Post - Sep 8, 2016 - 06:52am PT
Math is racist: How data is driving inequality
by Aimee Rawlins @aimeerawlins
September 6, 2016: 5:24 PM ET


It's no surprise that inequality in the U.S. is on the rise. But what you might not know is that math is partly to blame.
In a new book, "Weapons of Math Destruction," Cathy O'Neil details all the ways that math is essentially being used for evil (my word, not hers).
From targeted advertising and insurance to education and policing, O'Neil looks at how algorithms and big data are targeting the poor, reinforcing racism and amplifying inequality.
These "WMDs," as she calls them, have three key features: They are opaque, scalable and unfair.
Denied a job because of a personality test? Too bad -- the algorithm said you wouldn't be a good fit. Charged a higher rate for a loan? Well, people in your zip code tend to be riskier borrowers. Received a harsher prison sentence? Here's the thing: Your friends and family have criminal records too, so you're likely to be a repeat offender. (Spoiler: The people on the receiving end of these messages don't actually get an explanation.)
The models O'Neil writes about all use proxies for what they're actually trying to measure. The police analyze zip codes to deploy officers, employers use credit scores to gauge responsibility, payday lenders assess grammar to determine credit worthiness. But zip codes are also a stand-in for race, credit scores for wealth, and poor grammar for immigrants.
weapons math destruction author
Cathy O'Neil
O'Neil, who has a PhD in mathematics from Harvard, has done stints in academia, at a hedge fund during the financial crisis and as a data scientist at a startup. It was there -- in conjunction with work she was doing with Occupy Wall Street -- that she become disillusioned by how people were using data.
"I worried about the separation between technical models and real people, and about the moral repercussions of that separation," O'Neill writes.
She started blogging -- at mathbabe.org -- about her frustrations, which eventually turned into "Weapons of Math Destruction."
One of the book's most compelling sections is on "recidivism models." For years, criminal sentencing was inconsistent and biased against minorities. So some states started using recidivism models to guide sentencing. These take into account things like prior convictions, where you live, drug and alcohol use, previous police encounters, and criminal records of friends and family.
These scores are then used to determine sentencing.
"This is unjust," O'Neil writes. "Indeed, if a prosecutor attempted to tar a defendant by mentioning his brother's criminal record or the high crime rate in his neighborhood, a decent defense attorney would roar, 'Objection, Your Honor!'"
But in this case, the person is unlikely to know the mix of factors that influenced his or her sentencing -- and has absolutely no recourse to contest them.
Or consider the fact that nearly half of U.S. employers ask potential hires for their credit report, equating a good credit score with responsibility or trustworthiness.
This "creates a dangerous poverty cycle," O'Neil writes. "If you can't get a job because of your credit record, that record will likely get worse, making it even harder to work."
weapons math destruction
This cycle falls along racial lines, she argues, given the wealth gap between black and white households. This means African Americans have less of a cushion to fall back on and are more likely to see their credit slip.
And yet employers see a credit report as data rich and superior to human judgment -- never questioning the assumptions that get baked in.
Related: Milwaukee's staggering black-white economic divide
In a vacuum, these models are bad enough, but O'Neil emphasizes, "they're feeding on each other." Education, job prospects, debt and incarceration are all connected, and the way big data is used makes them more inclined to stay that way.
"Poor people are more likely to have bad credit and live in high-crime neighborhoods, surrounded by other poor people," she writes. "Once ... WMDs digest that data, it showers them with subprime loans or for-profit schools. It sends more police to arrest them and when they're convicted it sentences them to longer terms."
In turn, a new set of WMDs uses this data to charge higher rates for mortgages, loans and insurance.
So, you see, it's easy to be discouraged.
And yet O'Neil is hopeful, because people are starting to pay attention. There's a growing community of lawyers, sociologists and statisticians committed to finding places where data is used for harm and figuring out how to fix it.
She's optimistic that laws like HIPAA and the Americans with Disabilities Act will be modernized to cover and protect more of your personal data, that regulators like the CFPB and FTC will increase their monitoring, and that there will be standardized transparency requirements.
Related: Inequality is widening, even in real estate
And then there's the fact that these models actually have so much potential.
Imagine if you used recidivist models to provide the at-risk inmates with counseling and job training while in prison. Or if police doubled down on foot patrols in high crime zip codes -- working to build relationships with the community instead of arresting people for minor offenses.
You might notice there's a human element to these solutions. Because really that's the key. Algorithms can inform and illuminate and supplement our decisions and policies. But to get not-evil results, humans and data really have to work together.
"Big Data processes codify the past," O'Neil writes. "They do not invent the future. Doing that requires moral imagination, and that's something only humans can provide."

Welcome the land of opportunity and branding. Good article.
fear

Ice climber
hartford, ct
Sep 8, 2016 - 07:31am PT
No way that yellow route is 5.10. 5.11 maybe....

The Black route on the other hand is easy for 5.10...
clinker

Trad climber
Santa Cruz, California
Topic Author's Reply - Sep 8, 2016 - 07:37am PT
Barry Bates sucked at math.
Reilly

Mountain climber
The Other Monrovia- CA
Sep 8, 2016 - 07:40am PT
So now the gubmint is gonna have to build handicap math ramps everywhere?
Chaz

Trad climber
greater Boss Angeles area
Sep 8, 2016 - 07:40am PT
Zip code = math?

I hope Prof Rawlins isn't an English professor.
HighDesertDJ

Trad climber
Sep 8, 2016 - 08:01am PT
Chaz posted
Zip code = math?

I hope Prof Rawlins isn't an English professor.

This is a perfect example of our mass delusion of defensiveness. No attempt to comprehend, no attempt to read deeper, no acknowledge of the possibility of truth. Just an oversimplified attack on the premise and the intelligence of the author. Literally "if I can dismiss this out of hand then I do not need to acknowledge the possibility that this is real which would threaten my worldview."
zBrown

Ice climber
Sep 8, 2016 - 08:12am PT
Goes to the old saw about math and bombs not always mixing well with others.

Notice Ted wasn't wearing cowboy boots, but he didn't complain about it.


EdwardT

Trad climber
Retired
Sep 8, 2016 - 08:50am PT
[Click to View YouTube Video]
NutAgain!

Trad climber
South Pasadena, CA
Sep 8, 2016 - 08:58am PT
Interesting to identify the problems, but practical solutions seem buried in the details of improving the math models. Giving up math is not the right approach- it would drive up costs to the point where the infrastructure couldn't bear it to have humans spending more time for each field where the math models are used.

Another challenge is that models may be unfair for individuals, not capture the nuances of a situation, but when applied across a population they are effective in representing overall outcomes. Maybe the real challenge here is about how math should be applied, how to formulate the right questions, and how to interpret statistical results.

Very few people can do his effectively, and it is a failing of college-level humanities programs, let along high school education. Heck, probably many people with a B.S. degree in science or engineering still have problems with this.
StahlBro

Trad climber
San Diego, CA
Sep 8, 2016 - 09:12am PT
Algorithms are only as good as the people who write them. There is a lot of bias built in. I would not call that a "math" problem, I'd call it a people problem.
Ward Trotter

Trad climber
Sep 8, 2016 - 09:13am PT
in conjunction with work she was doing with Occupy Wall Street

All you need to know here.

This is an example of what is often referred to as " the totalitarian mentality" in which all of social existence, the totalality of life, is subsumed by political considerations. Even the way you eat, brush your teeth, or flush the commode can be deliberately construed to contain elements of class warfare and oppression directed towards others.

Sorry for that bit of " micro-agression" on my part.

A re-education camp is certainly somewhere in my future.
Will they have math classes there?

We now know who will teach those classes.
NutAgain!

Trad climber
South Pasadena, CA
Sep 8, 2016 - 09:17am PT
Some people like to receive input, look for parts of it that apply to reality, and use that to make their model of reality more accurate.

Others like to receive input, look for a way to discredit it, and hold on to their existing view of reality.
Reilly

Mountain climber
The Other Monrovia- CA
Sep 8, 2016 - 09:32am PT
I'm gonna show this to my black friend who grew up on a share crop farm in Alabama. He
might not have time to read it given the stack of medical journals he has to wade through.
Maybe my Indian friend who grew up in a house with dirt floors and never used a telephone
until he was 16 might be able to relate. I know he didn't have a lot of time to feel oppressed
and 'inequal' while he was getting his MD and PhDs.
NutAgain!

Trad climber
South Pasadena, CA
Sep 8, 2016 - 09:43am PT
Now Reilly you're abusing the opposite extreme- citing individual anomalies to make your point rather than relying on population averages.

Somewhere in the middle there is a way to understand general trends and *correlations* (which may or may not have causal relationships) and use that as a background for incorporating individual case information to make more targeted decisions.

Even as I write that I am in doubt though... Using the correlations as background info is what happens with racial profiling by law enforcement and it is widely discredited by lovers of human rights.

Not an easy problem to solve.

One good place to start would be to focus more on causative factors rather than correlative factors. But determining causal relationships that accurately predict individual human behavior is not practical, given free will and an infinite set of confounding variables.
JLP

Social climber
The internet
Sep 8, 2016 - 10:19am PT
What a dumb loser. Everyone gets a trophy. The use of statistics and algorithms to distribute wealth and opportunity goes all the way to the top of society and big business - it doesn't just effect the poor.
Flip Flop

climber
Earth Planet, Universe
Sep 8, 2016 - 10:38am PT
Your Mom is racist and driving miss Daisy.


MikeL

Social climber
Southern Arizona
Sep 8, 2016 - 10:53am PT
Every model / concept presents a bias.

On the other hand, algorithms are codified learning from experience.
jogill

climber
Colorado
Sep 8, 2016 - 11:00am PT
"It's not the math, it's the person using it"

NMA
mouse from merced

Trad climber
The finger of fate, my friends, is fickle.
Sep 8, 2016 - 11:23am PT
"Ganas is all you need. Ganas in my language means desire, but really it means more than that," Escalante said. "Ganas is commitment to success." He assured the crowd that all students can be successful if their teachers do their part to demand and encourage more from their students.

"A teacher must have the tenacity to persevere, the wisdom of Solomon, and the understanding of a saint. Above all, a teacher must have patience," Escalante said.

http://www.utpa.edu/news/2002/10/hestec-opens-with-1000-participants-on-math-and-educator-day.htm
Gorgeous George

Trad climber
Los Angeles, California
Sep 8, 2016 - 11:36am PT
Nut - I would posit a third interpretation, which is that MOST people look at data and reject that which conflicts with their beliefs, and remember ONLY the data that supports their beliefs.
Ed Hartouni

Trad climber
Livermore, CA
Sep 8, 2016 - 07:29pm PT
Crimpergirl might have something substantive to add here.

I read the NYTimes magazine article on recidivism and thought that the argument brought up, that the algorithms used resulted in biased sentencing, to be credible.

Because we do not have a quantitative fundamental model of human behavior there is not way to check if these (or any other) models correctly predict the behavior of the individuals involved. We rely, instead, on a sort of "empirical" model based on supposed observed behavior, this is the basis of "big data" where looking for trends in all the information available is supposed to overcome the need for a "fundamental theory."

The problem is that there is no way to check what is causing the trends. For instance, the trends in the pre-great-recession mortgage boom were explained away, in spite of the fact that it was obviously not sustainable. Yet people who should have known way better discounted their "fundamental knowledge" and went with the trend. The result was this huge economic calamity, the result of using the "empirical data" without understanding it.

In the case of various algorithms meant to "predict" human behavior, for instance the risk a lender takes in offering a loan to some person, or that an insurance company takes in providing insurance as some rate, are built not on some fundamental theory but on historic trends.

If the historic trend is determined by data, and that data is biased, the resulting algorithms will be biased.

Scientists have the same problems, but is is common to publish both the algorithms and the data used in developing the algorithms, and reaching the conclusions. In this way other scientists can check, in detail, how a calculation is done and how well the algorithms predict, independently.

Oddly, the social algorithms in question are not available to the wider public, so it is difficult to assess how well they do. This is very unfortunate for those that are affected by the results of those algorithms, but perhaps in some cases they can resort to a discovery process that has been opened up by recent legislation.

Interestingly, many companies object to the scientific findings of the government. A Congress sympathetic to these complaints has required that the scientific data, and the algorithms, and essentially everything else that is used in scientific finding pertinent to making regulations, be made publicly available within the constraints of law (e.g. personal information has to preserve the confidentiality, say in medical trials patient records can't be associated with the actual person).

For algorithms used by the government, it must be possible for some plaintiff to insist on access to not only the result of the algorithms, but the actual algorithms and the data that were used to produce them. It would seem to be common sense that this information be available, but it seems that the information enjoys some privileged position of not being revealed for review, especially as it pertains to the judicial system. One has only to look at the forensic science laboratory debacle to see that results provided as "science" on the basis of authority only can fall far short of the standard practice of "science." In many of those cases, the results that were provided fully supported the prosecutors, and had no science behind them at all, or at least none that stood up to scientific scrutiny.

In the case of the "private" sector, algorithms used by banks, insurance companies, etc.. should be subject of laws created to insure full disclosure of the development of those practices. The government has an interest in not only insuring "fair play" but also in making sure that these algorithms do not lead the economy down the garden path to more calamity. The private sector will, no doubt, object, but since they have just been so generously bailed out by that same government, it would seem their objection is very weak.

The use of math, that is making the problem "quantitative" and then using that to predict outcomes, is not in question here, but the methodology of how those predictions are made is very relevant. If you put garbage in, you'll get garbage out... unfortunately this has real consequences to people.
Mungeclimber

Trad climber
Nothing creative to say
Sep 8, 2016 - 09:01pm PT
Ed,

I'm going to verbatim that post to my insurance agency, my health care provider, my LEO issuing my tickets, and my co-workers (but not my spouse :)).

Seriously tho, as usual, well said.

thx,
M
Tom

Big Wall climber
San Luis Obispo CA
Sep 8, 2016 - 09:30pm PT




Flip Flop

climber
Earth Planet, Universe
Sep 8, 2016 - 10:24pm PT
Inputs parameters interpretation something something. You could just ask. Fukin Engineers!
jgill

Boulder climber
The high prairie of southern Colorado
Sep 8, 2016 - 10:34pm PT
Can you see in that physics equation a similarity to continuous compounding?
Ed Hartouni

Trad climber
Livermore, CA
Sep 9, 2016 - 12:51am PT
it depends on the the ket, which is usually complex, but can be real... in which case you have the diffusion equation... a negative diffusion constant gets you compounding! (a positive one exponential decay).

mcreel

climber
Barcelona
Sep 9, 2016 - 01:38am PT
The title WMD is unfortunate in that it suggests that math is a problem, and not the way certain people are using it. Science is already morally questionable to a large group of the population, let's hope math is not next on the list. What will they end up teaching in schools if this trend goes on?

Let's Make America Illiterate Again!

By the way, mathematical models can take into account cooperation and altruism. For examples, search for "cooperative game theory".
jonnyrig

climber
Sep 9, 2016 - 07:05am PT
Wait...




Are we saying that math and science are not altruistic after all? I mean, that whole global warming thing for instance.... or guns....
clinker

Trad climber
Santa Cruz, California
Topic Author's Reply - Sep 9, 2016 - 07:21am PT
71 DMT, isn't your number more in the 59 range?

If you put garbage in, you'll get garbage out... unfortunately this has real consequences to people.

Real consequences are finally biting back at Wells Fargo. My wife went to work at Wells about 9 years ago. She is a people person and was outstanding for this area in reviews and surveys of costumer experience. Then everything changed. Sales of new accounts, services and credit cards were pushed on employees.

She started seeing older, decades long loyal customers coming in with fees showing up for various "new accounts". Many of these people had their life savings invested at Wells Fargo. The sales pressure on the tellers was so intense, unethical methods of opening these accounts grew, particularly among the young tellers.

My wife told it like it was to the sales gurus and was told in return that she was not a "team player". Wells decided that the sales were more important than the customers. A major misinterpretation of the numbers.

She quit. If you bank at Wells, find another bank.

5,300 Wells Fargo employees fired over 2 million phony accounts
by Matt Egan @mattmegan5
September 9, 2016: 8:08 AM ET

Wells Fargo fires 5,300 for creating phony accounts
Everyone hates paying bank fees. But imagine paying fees on a ghost account you didn't even sign up for.
That's exactly what happened to Wells Fargo customers nationwide.
On Thursday, federal regulators said Wells Fargo (WFC) employees secretly created millions of unauthorized bank and credit card accounts -- without their customers knowing it -- since 2011.
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The phony accounts earned the bank unwarranted fees and allowed Wells Fargo employees to boost their sales figures and make more money.
"Wells Fargo employees secretly opened unauthorized accounts to hit sales targets and receive bonuses," Richard Cordray, director of the Consumer Financial Protection Bureau, said in a statement.
Wells Fargo confirmed to CNNMoney that it had fired 5,300 employees over the last few years related to the shady behavior. Employees went so far as to create phony PIN numbers and fake email addresses to enroll customers in online banking services, the CFPB said.
Related: Who owns Wells Fargo? You, me and Warren Buffett
The scope of the scandal is shocking. An analysis conducted by a consulting firm hired by Wells Fargo concluded that bank employees opened over 1.5 million deposit accounts that may not have been authorized.
The way it worked was that employees moved funds from customers' existing accounts into newly-created ones without their knowledge or consent, regulators say. The CFPB described this practice as "widespread." Customers were being charged for insufficient funds or overdraft fees -- because there wasn't enough money in their original accounts.
Additionally, Wells Fargo employees also submitted applications for 565,443 credit card accounts without their customers' knowledge or consent. Roughly 14,000 of those accounts incurred over $400,000 in fees, including annual fees, interest charges and overdraft-protection fees.
The CFPB said Wells Fargo will pay "full restitutions to all victims."
Related: ATM and overdraft fees top $6 billion at the big 3 banks
Wells Fargo is being slapped with the largest penalty since the CFPB was founded in 2011. The bank agreed to pay $185 million in fines, along with $5 million to refund customers.
"We regret and take responsibility for any instances where customers may have received a product that they did not request," Wells Fargo said in a statement.
Wells Fargo has the highest market valuation among any bank in America, worth just north of $250 billion. Berkshire Hathaway (BRKA), the investment firm run legendary investor Warren Buffett, is the company's biggest shareholder.
Of the total fines, $100 million will go toward the CFPB's Civil Penalty Fund, $35 million will go to the Office of the Comptroller of the Currency, and another $50 million will be paid to the City and County of Los Angeles.
"One wonders whether (the CFPB) penalty of $100 million is enough," said David Vladeck, a Georgetown University law professor and former director of the Federal Trade Commission's Bureau of Consumer Protection. "It sounds like a big number, but for a bank the size of Wells Fargo, it isn't really."
Wells Fargo confirmed to CNNMoney that the 5,300 firings took place over several years. The bank listed 265,000 employees as of the end of 2015.
Related: Barclays fined $109 million for trying to hide a deal with rich clients
"At Wells Fargo, when we make mistakes, we are open about it, we take responsibility, and we take action," the bank said in a memo to employees on Thursday.
The CFPB declined to comment on when the investigation began and what sparked it, citing agency policy. "We don't comment on how we uncover these matters," a spokesman said.
As part of the settlement, Wells Fargo needs to make changes to its sales practices and internal oversight.
Customers are fuming. Brian Kennedy, a Maryland retiree, told CNNMoney he detected an unauthorized Wells Fargo account had been created in his name about a year ago. He asked Wells Fargo about it and the bank closed it, he said.
"I didn't sign up for any bloody checking account," Kennedy, who is 57 years old, told CNNMoney. "They lost me as a banking customer and I have warned family and friends."
"Consumers must be able to trust their banks," said Mike Feuer, the Los Angeles City Attorney who joined the settlement.
Feuer's office sued Wells Fargo in May 2015 over allegations of unauthorized accounts. After filing the suit, his office received more than 1,000 calls and emails from customers as well as current and former Wells Fargo employees about the allegations.
Wells Fargo declined to say when it hired a consulting firm to investigate the allegations. However, a person familiar with the matter told CNNMoney the bank launched the review after the L.A. lawsuit was filed.
Even though the Wells Fargo scandal took place nationally, the settlement with L.A. requires the bank to specifically alert all its California customers to review their accounts and shut down ones they don't recognize or want.
"How does a bank that is supposed to have robust internal controls permit the creation of over a half-million dummy accounts?" asked Vladeck. "If I were a Wells Fargo customer, and fortunately I am not, I'd think seriously about finding a new bank."

clinker

Trad climber
Santa Cruz, California
Topic Author's Reply - Sep 9, 2016 - 07:33am PT

Who owns Wells Fargo?


Who owns Wells Fargo anyway? You, me and Warren Buffett
by Matt Egan @mattmegan5
September 8, 2016: 6:23 PM ET


Wells Fargo fires 5,300 for creating phony accounts
Wells Fargo -- which was slapped with a $185 million fine for creating millions of fake accounts, and charging its customers fees for years -- is also America's most valuable bank.
It is one of the nation's most widely-held stocks.
The bank is even backed by America's most beloved investor, Warren Buffett. The legendary billionaire owns $100 million of Wells Fargo (WFC) stock in his personal account, according to FactSet. His firm Berkshire Hathaway (BRKA) is the bank's biggest shareholder, holding nearly 10% of the stock.
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It's ironic, given the shocking revelations, that the key driver for Buffett's investment in Wells Fargo is the bank's reputation for not being one of Wall Street's bad guys.
"Wells Fargo behaves better than the average big bank. But nobody's perfect," Charlie Munger, Berkshire's vice chairman and Buffett's right-hand man, told CNNMoney last year.
Buffett has himself weighed in, saying, according to the Motley Fool, "What Wells Fargo didn't do is what defines their greatness."
Berkshire first bought Wells Fargo stock in 1989, and has since added more.
Related: 5,300 Wells Fargo employees fired over 2 million phony accounts
Today, Wells Fargo is worth $250 billion -- the most valuable bank in the U.S. by market value. To put that in context, Bank of America (BAC) is valued at $160 billion and JPMorgan Chase (JPM) is worth $243 billion.
Many everyday Americans own shares of Wells Fargo in their retirement accounts. Popular mutual fund managers such as Vanguard, BlackRock (BLK) and Fidelity are the bank's top investors, after Berkshire.
And due to Wells Fargo's size, the bank is a staple of most bank ETFs, the popular form of investing in a basket of stocks.

CHASE on the other hand figured out that alerting their costumers immediately to being overdrawn and allowing them to make a deposit by the end of the day to avoid fees was a good thing. How novel.
HighDesertDJ

Trad climber
Sep 9, 2016 - 07:47am PT
Ed- Thank you for such an informed and thorough post. Really appreciate your perspective.
zBrown

Ice climber
Sep 9, 2016 - 08:01pm PT
Kinda makes you wonder where those 5300 Wells Fargo employees are now.

Did they sign non-disclosures?

How much did they get?

Are they exponentially decaying?

clinker

Trad climber
Santa Cruz, California
Topic Author's Reply - Sep 9, 2016 - 09:36pm PT

Kinda makes you wonder where those 5300 Wells Fargo employees are now.



Here are a few.



Workers tell Wells Fargo horror stories
by Matt Egan @mattmegan5
September 9, 2016: 4:24 PM ET

Wells Fargo fires 5,300 for creating phony accounts
Relentless pressure. Wildly unrealistic sales targets. Employees leaning on family members and friends to open unnecessary bank accounts.
That's how more than a dozen former Wells Fargo employees described the bank's culture to CNNMoney.
Wells Fargo (WFC)has been accused by federal regulators of illegal activity on a stunning level. Authorities say employees at the bank secretly created millions of unauthorized bank and credit card accounts between 2011 and July 2015, allowing the bank to make more money in fees and meet internal sales targets.
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Wells Fargo agreed to pay penalties of $185 million and fired 5,300 employees over the last few years related to this illegal activity. The news is rocking the industry and rippling across Wells Fargo's millions of customers nationwide.
Former employees tell CNNMoney that they felt incredible demands from managers to meet sales quotas. The same managers turned a blind eye when ethical and even legal lines were crossed.
"I had managers in my face yelling at me," Sabrina Bertrand, who worked as a licensed personal banker for Wells Fargo in Houston in 2013, told CNNMoney. "They wanted you to open up dual checking accounts for people that couldn't even manage their original checking account."
Currently a middle school teacher, Bertrand said she believes the sales targets were set by managers who were higher up: "The sales pressure from management was unbearable."
The pressure cooker environment is also described in a lawsuit filed by Los Angeles against Wells Fargo in May 2015. The lawsuit says that Wells Fargo's district managers discussed daily sales for each branch and employee "four times a day, at 11 am, 1 pm, 3 pm and 5 pm."
It all stems from Wells Fargo's internal goal of selling at least eight financial products per customer. It's what Wells Fargo calls the "Gr-eight initiative." Currently, Wells Fargo boasts an average of about six financial products per customer.
In pursuit of this goal, Wells Fargo employees engaged in all kinds of sordid practices. One of them was internally called "pinning," where the bank issued ATM cards and assigned PIN numbers without customer authorization.
The bankers would impersonate their customers and "input false generic email addresses such as 1234@wellsfargo.com, noname@wellsfargo.com, or none@wellsfargo.com to ensure the transaction is completed," the lawsuit said. The customer, meanwhile, remained completely unaware of the unauthorized activity.
Related: Do more heads need to roll at Wells Fargo?
wells fargo fake account employee
Anthony Try, who worked at Wells Fargo's branches in San Francisco and San Diego as a personal banker and sales representative, told CNNMoney that he believes "management was fully aware of this," but his bosses deliberately "turned a blind eye."
Try, who quit in 2013 because he no longer believed in what he was doing, thinks the illegal activity was systemic.
"It was ingrained in the culture for a long time," he said.
Try, currently a musician and manager, said he did not open unauthorized accounts. However, he did open accounts for friends and family -- with their permission -- in order to meet the incredible demands from managers.
"There would be days where we would open five checking accounts for friends and family just to go home early," he said.
Related: 5,300 Wells Fargo employees fired over 2 million phony accounts
The California lawsuit supports these claims. Wells Fargo paid $50 million to the City and County of Los Angeles to settle the suit as part of the broader $185 million in fines announced on Thursday.
Employees who failed to meet their daily goals were "reprimanded and told to do whatever it takes to meet individual sales quotas," the California lawsuit alleges.
Management even encouraged employees to "achieve 'solutions' through family members," the suit says.
Some Wells Fargo employees say they have "tapped out every family member and friend for accounts," while others say they "spend holiday dinners trying to convince" them to sign up, the lawsuit said.
Employees and the California lawsuit both allege that higher-ups at Wells Fargo also share in the blame for the fraud.
Wells Fargo has "known about and encouraged these practices for years," the California lawsuit said. "Wells Fargo has engineered a virtual fee-generating machine, through which its customers are harmed, its employees take the blame, and Wells Fargo reaps the profits."
"The culprit in this case in not just the individuals involved, but the corporate culture itself," said Julie Ragatz, director of the Center for Ethics in Financial Services at the American College of Financial Services.
In response to CNNMoney's reporting, a Wells Fargo spokeswoman said the "majority of our team members do work hard to do what's in customers' best interest."
Wells Fargo also said it made a number of "fundamental changes to help ensure our team members are not being pressured to sell products."
Those changes include enhanced training that values ethics and how to report concerns, increased risk management professionals at branches and additional mystery shoppers.
Related: Who owns Wells Fargo anyway? You, me and Warren Buffett
One former Wells Fargo employee, who requested his name not be used so he doesn't hurt his career in banking, said he experienced this firsthand. He said managers told him to open unauthorized accounts and, when customers called, to apologize and say it was a mistake.
"This was not done by employees trying to hit their sales numbers, it was more of threats from upper management," he said, adding that workers feared they would lose their job.
According to the California lawsuit, Wells Fargo employees for years engaged in practices known as "gaming." One of them was "sandbagging," which occurred when bankers refused to open accounts requested by customers until the next reporting period to boost their sales quotas, the lawsuit claimed.
A former longtime Wells Fargo consumer bank employee in the Minneapolis region, who also spoke on the condition of anonymity, described a "cutthroat" environment that caused employees to fear for their job and make "bad ethical choices."
"It was a real s**t show over there," he said.

Do the math, heads gotta roll.
rgold

Trad climber
Poughkeepsie, NY
Sep 10, 2016 - 10:04am PT
Ed's discussion is a model for what intelligent discourse ought to look like, which means, in today's superheated post-factual politicized environment, that only an insignificant minority will actually pay attention.

Dr. Rawlins certainly doesn't help by using a preposterous claim as her title. Math is no more or less racist than string beans; the adjective simply can't be applied to such antecedents, and Dr. Rawlins is as well-qualified as anyone to know that. The title only helps to energize a group of radical know-nothings (both the left and the right have growing contingents of such people) who will be happy to parrot the fact that a Harvard-educated mathematician claims that math is racist, without attending to any of the far more intelligent details of Dr. Rawlins' arguments. Sure as shootin' some benighted school board somewhere will try to reduce the math requirements for students with Dr. Rawlins as a reference.

A flaw in Dr. Rawlins' approach is that the proposition that data science is racist cannot be confirmed or disconfirmed by using results of data science. But without appropriate statistics, she has no argument. If math is truly racist (which she doesn't actually believe for even a second), then it would be the height of both hypocrisy and logical invalidity to employ a discredited tool to advance her own position.

Don't get me wrong, there can be major problems in trying to use the past to predict the future, and the interest of medical, commercial, and governmental organizations in statistical outcomes takes probabilistic reasoning for groups and applies it to individuals in ways that can easily be unjust.

So I'm not questioning some of Dr. Rawlins' conclusions, just her use of absurd attention-getting headlines. Joining the sensationalists might get your blog more eyeballs, but in my opinion your integrity takes a hit for that.
rbord

Boulder climber
atlanta
Sep 10, 2016 - 01:41pm PT
Thanks Ed. Nicely said.

If you train a system using racist data, you're going to get a racist system. Like the one we've been trained for.

I think the thinking mistake we make is to believe that what we do in our heads - our thinking - is objective. We believe that what we're doing in our heads is just math, when I think really what we're doing is survivor-biased math. Our belief creation processes evolved (i.e. have been trained) to work to our advantage, not (necessarily) to work to the advantage of objective mathematical thinking.
Bad Climber

Trad climber
The Lawless Border Regions
Sep 10, 2016 - 02:29pm PT
Good pts., Rgold. I was aching for some stats of any kind as support. Like you, I'm not saying she's wrong, but evidence is nice. For example, with the algorithm for recidivism, was there any positive outcome? How does sentencing influence recidivism anyway? Can we see a before/after comparison with the algorithm?

BAd
Ed Hartouni

Trad climber
Livermore, CA
Sep 10, 2016 - 02:47pm PT
http://fivethirtyeight.com/features/prison-reform-risk-assessment/
JEleazarian

Trad climber
Fresno CA
Sep 19, 2016 - 12:50pm PT
So I'm not questioning some of Dr. Rawlins' conclusions, just her use of absurd attention-getting headlines. Joining the sensationalists might get your blog more eyeballs, but in my opinion your integrity takes a hit for that.

Exactly. There's an additional problem, to which Ed refers, and in which I've spent a considerable portion of my adult life. Classical statistical theory assumes that we properly identified the components of the model. We may then use the normal statitical tools (e.g. run regressions) to determine the values of the parameters and their statistics of fit.

Statistical models used for the soical sciences, however, and where I live in economics in particular, usually involve attempting to make statistical inferences with non-experimental data. Among other things, we attempt to prove not only the value of model parameters, but whether a putative explanatory variable even belongs in the model. Classical statistical theory will overestimate the importance and the statistical significance of some variables in that situation, and does a much poorer jub than Bayesian theory in that regard.

The Bayesians recognized that people have prior opinions, and that additional data will cause people to modify those opinions, but not necessarily to jettison them. Of course, since Bayesian results depend on the prior distribution employed, they don't provide as certain a result. I find that increased uncertainty, however, a much more honest evaluation of what we know.

So back to the original post. Math (really statistical analysis) has no more racism than gravity. Its users, however, have biases that their results reflect.

John
Tom Turrentine

Trad climber
Santa Cruz
Sep 19, 2016 - 02:33pm PT
I'm not a statistician, but work around a lot of statistical modelers in transport research. Seems the models work pretty well as long as nothing is changing, but change technology for example, and their ability to predicts drop. Radical changes in automobile-networks etc.. technology is making prediction less reliable.

I like the book by Nate Silver, the Signal and the Noise. What I learned from that was as long as he had 100 years of data, like baseball, he could make some pretty good predictions for example about left handed pitchers who throw sidearm, but if he only had a few years of data, no way.

jgill

Boulder climber
The high prairie of southern Colorado
Sep 19, 2016 - 03:15pm PT
Nice post, John E. My father was a Bayesian in the areas of business and economics.
aspendougy

Trad climber
Los Angeles, CA
Sep 19, 2016 - 04:03pm PT
http://www.theroot.com/articles/culture/2011/01/jbhe_africanamerican_phds_grossly_underrepresented_in_the_sciences/

In 2009, there were 25 blacks who earned Ph.D's in mathematics, and this article points out that it represents only 1.6% of the total for that year. Part of it is cultural. Asians parents expect their kids to be doctors & scientists, but black parents less so.
ontheedgeandscaredtodeath

Social climber
SLO, Ca
Sep 19, 2016 - 05:31pm PT
I heard an interview with the author. She obviously is not arguing that math itself has a bias. Rather it is various anylitical systems that are used to make important decisions are not validated and may have no real scientific grounding.
clinker

Trad climber
Santa Cruz, California
Topic Author's Reply - Sep 19, 2016 - 06:03pm PT
JEleazarian, But if you are obese because of racism, you will have to deal with gravity's effect more so than a lighter(skinned?) person.
So back to the original post. Math (really statistical analysis) has no more racism than gravity.

I heard last week on the news radio that 7-11 is bringing in better food options in some Bay area locations to address this problem.


by KATHERINE TIMPF September 8, 2014 5:58 PM @KATTIMPF Are racial microaggressions making you fat? One professor at an N.J. public university thinks so. A study by Rutgers University – Newark claims that minorities are obese because racial microaggressions cause them to eat fast food and avoid exercise. “When you are exposed to negative stereotypes, you may gravitate more toward unhealthy foods as opposed to healthy foods,” said Luis Rivera, the experimental social psychologist who conducted the study. “You may have a less positive attitude toward watching your carbs or cutting back on fast food, and toward working out and exercising,” he explained. Rivera said Hispanics who believed negative stereotypes about themselves were three times more likely to be overweight or obese — evidence that the obesity comes from believing the stereotypes. He said that these stereotypes were spread not only through the mass media, but also subconsciously through seemingly harmless social interactions, including so-called microaggressions. “There are more subtle ways in conversations and interactions with others,” he said. “Although people don’t say explicitly ‘you are A, you are B,’ there are ways in which those messages are communicated,. It could be teachers. It could be your parents. It could be your friends.” Rivera’s study appears in this summer’s edition of the Journal of Social Issues.

Read more at: http://www.nationalreview.com/article/387408/psychologist-minorities-are-obese-because-racism-katherine-timpf[/quote]
Chaz

Trad climber
greater Boss Angeles area
Sep 19, 2016 - 06:10pm PT
7-11 is bringing in better food options because the government wants places that accept public assistance for payment to stock something a little healthier than chips and Slim Jims.
JEleazarian

Trad climber
Fresno CA
Sep 20, 2016 - 11:47am PT
Part of it is cultural. Asians parents expect their kids to be doctors & scientists, but black parents less so.

It's not just east Asian parents. My sister and I were both math majors as undergrads (well, I was a math/econ double major), and my concentration in grad school was in econometrics. We both got seduced by the Dark Side, however, and became lawyers.

One day, we were both visiting our mother when one of her friends from Beirut was also visiting. After we left, her friend told my mother, "They're both smart. They could have been engineers."

John

P.S., John G., I developed my appreciation for Bayesian statistical analysis during graduate study of econometrics, coupled with working as an economic forecaster, so your father and I must have had a similar background.
i-b-goB

Social climber
Wise Acres
Oct 2, 2016 - 03:16pm PT

...who you gonna call?
jgill

Boulder climber
The high prairie of southern Colorado
Oct 2, 2016 - 04:07pm PT
John E., my dad got an MA in math and worked as a statistician for both the Dallas Fed Reserve and the War Assets Adm in Houston after WWII, then got his terminal degree under Zimmerman at the U of Texas and thereafter enjoyed an academic career. He tried to get me to go into Bus Adm saying there was more $ there, but I didn't take the bait!
hobo_dan

Social climber
Minnesota
Oct 2, 2016 - 04:27pm PT
for sure 2+2--it's not black and white
ms55401

Trad climber
minneapolis, mn
Dec 31, 2016 - 09:09am PT
can any propeller-heads recommend some good advanced -- but not too advanced -- math classics to work through? I was thinking something along the lines of Walter Rudin, Principles of Mathematical Analysis

kind of interested in calculus/analysis and topology
Reilly

Mountain climber
The Other Monrovia- CA
Dec 31, 2016 - 09:43am PT
ms5541, aren't there still some opportunities in set theory?
AP

Trad climber
Calgary
Dec 31, 2016 - 03:00pm PT
Use of big data could become a real issue if it isn't already.
Probably one of those things where we look back and think "Holy Sh#t this has been going on for how long? And it has had these effects? And we didn't see the bad stuff coming down the road?"
jgill

Boulder climber
The high prairie of southern Colorado
Dec 31, 2016 - 04:12pm PT
ms55, I was a college math professor and occasional researcher for many years and the very best book I ever had or used, especially as an intro to analysis & topology, is "Introduction to Topology and Modern Analysis" by George F. Simmons, a late Colorado College professor. It's in the International Series in Pure and Applied Mathematics by McGraw-Hill. The original publication date is 1963. This book is easy to read, interesting, and touches on a large number of modern topics. It is superb.

It begins at the beginning with set theory and ends with commutative Banach algebras (I never got that far!).

Here it is
EdBannister

Mountain climber
13,000 feet
Dec 31, 2016 - 04:22pm PT
yup there is a math problem

1950 US black single parent households 4.8 %

enter Lyndon Baines Johnson's Great Society

2000 US black single parent households 83%

Those numbers are for the status of the household at the time of birth.
rgold

Trad climber
Poughkeepsie, NY
Dec 31, 2016 - 04:27pm PT
can any propeller-heads recommend some good advanced -- but not too advanced -- math classics to work through? I was thinking something along the lines of Walter Rudin, Principles of Mathematical Analysis

If you liked Rudin, go on to read his graduate text Real and Complex Analysis.

If you are interested in complex analysis read Visual Complex Analysis by Needham---a fantastic book that lays out many of the usually hidden geometric underpinnings of the subject.

For undergraduate advanced calculus, the book Advanced Calculus by Buck is a classic.

You didn't mention anything involving algebra. Abstract Algebra by Dummit and Foote is one of the best general texts out there; particularly strong on examples. Don't anticipate getting through more than a fraction of what's there.

For linear algebra, Finite-Dimensional Vector Spaces by Halmos is certainly the classic reference.

Topology is a problem. If you are interested in general topology and operator theory, then I think there is a clear winner: Introduction to Topology and Modern Analysis by Simmons. [Edit: Professor Gill has already recommended this book.] If a gentle introduction to knots appeals, then The Knot Book by Adams is a good bet. Nowadays, the standard introduction to general topology, covering spaces, and the fundamental group seems to be Topology by Munkres. An elementary introduction to manifolds is The Shape of Space by Weeks.

This is off the top of my head; I'm sure I've forgotten many worthy texts. And whole subjects are missing (combinatorics, differential geometry, differential equations and dynamical systems, number theory,...)
AP

Trad climber
Calgary
Jan 1, 2017 - 05:47am PT
Definition of a statistician:
Someone who can drown in an average of 6 inches of water
Ed Hartouni

Trad climber
Livermore, CA
Jan 2, 2017 - 10:12am PT
kind of interested in calculus/analysis and topology

the math profs have weighed in and given some good references... from a "practical mathematician's" (e.g. a physicist's) point-of-view I usually learn new mathematics from the standpoint of solving a problem I'm interested in... often I don't solve the problem so much as learn some new mathematics... but I find this a much more effective way, for me, to learn that new mathematics.

Not being mathematically inclined, at least not in the way of a mathematician (or at least the way I think of "doing" mathematics), I am usually content with the rather limited knowledge I gain, and depart the study long before all of its elegance is revealed to me...

what are you "kind of interested" in that leads you to your question?
Spiny Norman

Social climber
Boring, Oregon
Jan 2, 2017 - 10:52am PT
Ed Bannister: you need to think harder — a lot harder — about the difference between correlation and causality.
rbord

Boulder climber
atlanta
Jan 2, 2017 - 11:18am PT
enter Lyndon Baines Johnson's Great Society

The law of small numbers is a judgmental bias which occurs when it is assumed that the characteristics of a sample population can be estimated from a small number of observations or data points.

Humans are really good at it, in the same way that we're good at confirmation bias, and survivor bias. How much time do we have to think about it and how big is our processor?

There's other stuff to spend our brainpower on, and if it helps to believe one data point explains a million others ... more time/processing power to plan our escape when the zombie apocalypse comes.

Great society and zombie apocalypse - what more do we really need to know?
jgill

Boulder climber
The high prairie of southern Colorado
Jan 7, 2017 - 10:04pm PT
I have to bring this Time cover back to page one - it's priceless!
Reilly

Mountain climber
The Other Monrovia- CA
Jan 7, 2017 - 10:20pm PT
Look, it's the Sharia Tower!
yanqui

climber
Balcarce, Argentina
Jan 9, 2017 - 09:35am PT
One of my old roommates from when I was in graduate school posted an interesting talk by Francis Su about the meaning of teaching and learning mathematics. I'll link it down below

The article referenced in the OP is about using mathematics. In our specialized society it may be true that mathematics is an activity practised by a small group of experts and understood by few, then used by technocrats to conveniently (and unjustly) categorize people for a more efficient management. Taking a totally different point of view, Su considers the teaching of mathematics on a more universal level. He considers the possible benefits of doing mathematics and seems to think of it as an activity that, to some extent, can be learned and shared by anyone. Imagine a mathematics that is more analogous to a shared language: something that is learned and understood by everyone. Perhaps overly idealistic, but IMO Su offers some interesting ideas about what teaching and learning mathematics can mean.

https://mathyawp.wordpress.com/2017/01/08/mathematics-for-human-flourishing/
jgill

Boulder climber
The high prairie of southern Colorado
Jan 9, 2017 - 02:21pm PT
From Yanqui's link:

And yet he wrote me a letter after 7 years in prison. He said: “I’ve always had a proclivity for mathematics, but being in a very early stage of youth and also living in some adverse circumstances, I never came to understand the true meaning and benefit of pursuing an education… over the last 3 years I have purchased and studied a multitude of books to give me a profound and concrete understanding of Algebra I, Algebra II, College Algebra, Geometry, Trigonometry, Calculus I and Calculus II.”

And from the autobiography of the famous gunslinger, John Wesley Hardin, a comment about his time in prison before receiving a pardon:

"I managed my work so as to make it very light, and took up arithmetic and mathematics as a study. I went through Stoddard's arithmetic and Davies' algebra & geometry"
Reilly

Mountain climber
The Other Monrovia- CA
Jan 9, 2017 - 04:52pm PT
Convicted murderers improving their minds is so touching. Where's my kleenex?
jgill

Boulder climber
The high prairie of southern Colorado
Jan 9, 2017 - 07:52pm PT
I forgot to mention that John Wesley Hardin became a successful lawyer after his release.
Reilly

Mountain climber
The Other Monrovia- CA
Jan 9, 2017 - 07:55pm PT
So he continued his life of crime?
thebravecowboy

climber
The Good Places
Jan 9, 2017 - 07:58pm PT
In a world where a bunch of old comfortable white guys can tease out the intricacies of race and inequality in America, anything is possible. Keep up the good work fellows.
ms55401

Trad climber
minneapolis, mn
Jan 23, 2017 - 05:12pm PT
when would be a good age for my niece, now 8, to learn calculus? I'm thinking 15. I'd teach her in the summer between 9th and 10th grade.

she's in a hoity-toity school but unfortunately one that's a bit long on affirmation and a bit short on math and science
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