Sixth Circuit Affirms EEOC Credit-Check Case Dismissal

Less than three weeks after oral argument, the Sixth Circuit affirmed a lower court order granting summary judgment in favor of Kaplan in one of the EEOC’s most high profile cases – EEOC v. Kaplan Higher Education Corp.

The EEOC brought suit against Kaplan for using credit-checks in its hiring process – “the same type of background check that the EEOC itself uses” the Sixth Circuit pointed out – claiming that the practice had a disparate impact on African Americans.

On Jan. 28, 2013, Judge Patricia A. Gaughan of the U.S. District Court for the Northern District of Ohio granted summary judgment in favor of Kaplan, finding that the EEOC’s statistical evidence of disparate impact was not reliable and not representative of Kaplan’s applicant pool as a whole. (Read more about that ruling here.)

The Sixth Circuit found no abuse of discretion. The EEOC’s “homemade” methodology for determining race – by asking its “race raters” to label photographs – was, in the Sixth Circuit’s words, “crafted by a witness with no particular expertise to craft it, administered by persons with no particular expertise to administer it, tested by no one, and accepted only by the witness himself.”

Background

The EEOC filed suit against Kaplan alleging that Kaplan’s use of credit-checks causes it to screen out more African-American applicants than white applicants, creating a disparate impact in violation of Title VII.

In support of its allegations, the EEOC relied on statistical data compiled by Kevin Murphy.  Because Kaplan’s credit check process was race-blind, the EEOC subpoenaed records regarding Kaplan’s applicants from state departments of motor vehicles. Thirty-six states and the District of Columbia provided color copies of approximately 900 drivers’ license photos.

Murphy assembled a team of five “race raters” and directed them to review the photos and classify them as “African-American,” “Asian,” “Hispanic,” “White,” or “Other.” Murphy also provided the raters with applicant names.

Based on the results of this “race rating,” Murphy opined that, in a sample of 1,090 (out of 4,670 applicants), the percentage of black applicants who were flagged for review based upon their credit histories was higher than the percentage of white applicants who were flagged.

The district court excluded Murphy’s testimony as unreliable for two reasons. First, the EEOC presented “no evidence” that Murphy’s methodology satisfied any of the factors that courts typically consider in determining reliability under Federal Rule of Evidence 702; and second, as Murphy himself admitted, his sample was not representative of Kaplan’s applicant pool as a whole. The district court granted summary judgment in favor of Kaplan, and the EEOC appealed.

The Sixth Circuit’s Opinion

The Sixth Circuit affirmed. The Sixth Circuit noted that, as the proponent of expert testimony, the EEOC bears the burden of proving its admissibility. It determined that the district court did not abuse its discretion in finding that the EEOC failed to make such a showing.

The EEOC argued that the district court erred in finding that it had “wholly fail[ed]” to provide evidence that its technique had been tested or had any “known or potential rate of error.” The EEOC contended that it provided such support in the form of “anecdotal corroboration.” That is, as to 57 applicants, Murphy cross-checked his raters’ classifications with racial identifications provided by a DMV or Kaplan.

The Sixth Circuit noted that the EEOC’s cross-check yielded an 80% match – “an unimpressive correlation in case where a few percentage points (in credit-check fail rates for blacks and whites) might make the difference between significant liability and none.” In any event, as Murphy himself conceded, a mere 57 instances of anecdotal corroboration is “not enough” to establish the reliability of his photo rating methodology.

As the Sixth Circuit found, “[t]he EEOC’s case goes downhill from there.” The EEOC failed to present evidence that its technique was subjected to peer-review or publication, failed to show that Murphy employed standards to control “the technique’s operation,” and presented no evidence that Murphy’s race-rating methodology was “generally accepted in the scientific community.” The raters themselves “had no particular standard in classifying each applicant; instead, they just eyeballed the DMV photos.”

Finally, as an independent ground for excluding Murphy’s testimony, the district court found “no indication” that Murphy’s group of 1,090 applicants was representative of the applicant pool as a whole. The Sixth Circuit noted that, “[i]nstead there is a strong indication to the contrary: Murphy’s group had a fail rate of 23.8%, whereas the GIS applicant pool had a fail rate of only 13.3%.” It held that an unrepresentative sample “by definition” might skew the respective fail rates of black and white applicants in the larger pool – “and thus is not a reliable means to demonstrate disparate impact.”

Implications

In its opinion, the Sixth Circuit staunchly critiqued the EEOC’s “do as I say, not as I do” litigation tactics. It noted (in the first line of its opinion) that the EEOC “sued the defendants for using the same type of background check that the EEOC itself uses.” It also noted, as the district court observed, that “the EEOC itself discourages employers from visually identifying an individual by race and indicates that visual identification is appropriate ‘only if an employee refuses to self-identify.’”

This blog was previously published by Seyfarth Shaw LLP.

Ernst & Young CRO Survey Highlights Expanding Authority, Top Challenges for 2014

Ernst & Young has released its new 2014 insurance CRO survey, “Increasing authority and higher organizational profiles,” highlighting top trends and challenges reported by chief risk officers and senior risk executives from more than 20 top American insurance companies. Top themes in this year’s results were the expansion of CRO authority, the challenge of managing the “tsunamis” of effects stemming from new domestic and international regulation, and shifts in CRO focus from survival to effectiveness. Those surveyed also reported that they are spending more time with the board and senior business leaders, and that they are becoming involved in more types of business issues. ERM was also a top accomplishment and key priority for risk managers looking ahead to 2014 challenges.

Some particularly interesting responses to the new study include:

What was your most important accomplishment over the past year?

EY Question 1 Graph

To which will you devote significantly more attention in the next 12 months, compared with the last 12?

EY Question 2

How do you know your risk function is creating value?

EY Question 4

Other than the four main risk categories (credit, market, insurance and operational risks), what risk management areas are you responsible for?

EY Question 10

What is your access to the board?

EY Question 11

Click here for the full report.

Ensuring Food Safety with Monte Carlo Simulation

If you have ever purchased a hot dog from a street vendor, you have probably wondered (most likely after the first bite), “Is this going to make me sick?” But thanks to a number of new advances, from genome sequencing to data analysis of supply chains, food safety agencies around the world are developing more accurate methods for lowering the risk factors in the foods we eat. Another method that is gaining popularity is the use of Monte Carlo simulation (MCS), a computerized mathematical technique that accounts for risk in quantitative analysis and decision making.

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By inputting risk factors and running thousands of simulations, a realistic portrait of risk factors and the probabilities that those risks may occur can be developed, decreasing the likelihood of food-borne illnesses.

For example, to combat the seemingly endless risks in the “farm-to-table” pathway, the U.S. Food and Drug Administration launched an interactive web-based tool called iRISK. The tool, which is free to use, utilizes Monte Carlo simulation to analyze potential food contamination risk based on a number of factors:

  • Type of food(s)
  • Hazard(s)
  • Demographic of concern
  • Production/processing system of food
  • Consumption patterns
  • Dose response
  • How health impact is to be calculated

Food industry risk analysts can simulate real-life scenarios by inputting multiple food types and potential hazards in a single assessment. Additionally, hazards can be ranked by level of risk.

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After providing the appropriate data, iRISK quickly generates reports that offer estimated risks from multiple microbial or chemical food safety hazards and estimates how scenario alterations can increase or lower contamination risk. Since its launch, iRisk has attracted more than 500 registered users.

In China, the Shanghai Food and Drug Administration also relies on Monte Carlo simulation to assess food safety, and one of its most notable uses of the technology occurred in the months prior to Shanghai’s hosting of the 41st World Expo in May 2010. Organizers wanted to be certain that food distributed to foreign visitors was safe, so it initiated a quantitative analysis of nitrite contamination in cooked meat. The Shanghai FDA conducted 370 random checks of meat products in the city and found four percent of samples exceeded nitrite standards.

On the basis of this initial data, the organization commissioned a report to determine the probability of consuming nitrites in excess of established standards in normal consumption habits. Then, using MCS, the researchers simulated the sample 10,000 times, multiplying variables to fit possible real-life situations. The findings indicated that the possibility of passing the threshold for acute nitrite poisoning indeed existed, as well as the possibility for exceeding the allowable daily intake of nitrite. Based on the results, the Shanghai FDA proposed that businesses in the food service industry be forbidden from using nitrite, which eliminated the possibility of nitrite poisoning at its root.

It is interesting—if not a little disconcerting—to consider the guesswork previously employed in food safety prior to technological advances such as Monte Carlo simulation. While risk can never be completely eliminated, we can at least dine with less concern when analysts are armed with solutions that dramatically lower risk.

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Grant to Fund Risk Management Course Development

The first Risk Management Curriculum Development Grant was awarded to St. Francis College in Brooklyn, N.Y. by the Spencer Educational Foundation earlier this week. The ,000 grant was presented to the college for development of risk management modules for their management courses.

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“In the past, all major institutions had training programs for new hires that covered important issues like risk management,” said St. Francis College President Brendan J. Dugan. “But now, students need to come to the recruiters with all of these skills under their belt.

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This grant will help us prepare them.”

Through the grant, St. Francis College’s School of Business plans to create eight risk management modules. The first four modules, targeted for the school’s entry-level management program, are designed to:

• Introduce the concept of insurance and risk management and its importance to an enterprise

• Deal with sophisticated concepts regarding types of insurance, providers and regulation

• Discuss how the financial performance of insurers is measured and the scope of insurance operations including marketing, underwriting and claims

• Highlight careers in the industry

“Over the summer, we will be developing the first set of modules,” said Allen Burdowski, Ph. D., dean for academic programs and development. “These will be introduced in the fall 2014 semester to our entry-level management majors. The second set of four modules will be offered the following year.”

The latter set will target upper level management and finance courses and focus on insurance contracts and loss exposures, advanced risk management, an introduction to life and personal lines insurance and an introduction to commercial insurance.

Spencer Educational Foundation Chairwoman Peggy Accordino noted, “Today, we take the next step to increase the knowledge and information available about our industry. We look forward to working with St.

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Francis College and congratulate them on being awarded this grant.”

Pictured above: Angela Sabatino, programs director, Spencer Educational Foundation (left of check) and Foundation Chairwoman Peggy Accordino (right of check).  Representing the college are (L to R) Thomas Flood, vice president of development; Edward Stewart, grants manager; John Dilyard, management professor; Brendan J. Dugan, president; Allen Burdowski, dean for academic programs and development; James Fazio, management professor; and Dennis Anderson, chair of management and IT.