About Emily Holbrook

Emily Holbrook is a former editor of the Risk Management Monitor and Risk Management magazine. You can read more of her writing at EmilyHolbrook.com.
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$75 Million Pill Heist at Eli Lilly

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It seems like something out of an action movie starring Steven Segal or Jackie Chan or Bruce Willis or all of the above. This was real life, however, and probably a more interesting story line than any Segal, Chan or Willis flick.

Before dawn on Sunday, thieves scaled the enormous brick building in Enfield, Connecticut where Eli Lilly stores its massive supply of prescription drugs. They cut a hole in the roof and rappelled inside, where they stole approximately $75 million worth of antidepressants and prescription drugs — enough to fill a tractor-trailer. Prescription drugs are a hot target for thieves because of the black market demand for them.

Other pharmaceutical warehouses have been hit with similar burglaries in recent years, but experts said the value of the Eli Lilly heist far eclipses any other prescription-drug thefts they have tracked.

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The thieves could easily net $20 million to $25 million, Gordon said.

Edward Sagebiel, a spokesman for Indianapolis-based Eli Lilly, put the wholesale value of the drugs at million and said they included the antidepressants Prozac and Cymbalta and the anti-psychotic Zyprexa.

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No narcotics or other painkillers were in the warehouse, he said.

Other pharmaceutical warehouses have been hit with similar burglaries in recent years, but experts said the value of the Eli Lilly heist far eclipses any other prescription-drug thefts they have tracked. The thieves could easily net $20 million to $25 million, Gordon said.

The FBI was called in to investigate what will most likely become the biggest pharmaceutical heist in history. What strikes me as strange is that the local police would not confirm whether there are security cameras at the industrial park where the warehouse is located. Considering the fact that, in 2009, thieves stole pharmaceuticals from storage facilities in Virginia, Tennessee and Mississippi, one would think, with this information at hand, pharmaceutical companies would implement better risk management and security measures.

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Insured Losses from Chilean Earthquake: Update

Last Wednesday I blogged about the Chilean earthquake costing insurers up to $8 billion. That number has since been revised by Swiss Re — the world’s second largest reinsurer claims the impact on the sector would be between $4 and $7 billion.

Swiss Re says “it’s own losses from last month’s 8.8 magnitude earthquake would total about $500 million.” Germany’s Munich Re has said it expects to lose about $543 million from the Chilean disaster.

Analysts said that while the losses were large, they were probably not sufficient to reverse recent falls in the prices reinsurance companies charge insurance firms to cover natural disasters such as earthquakes or hurricanes. “Although it will almost certainly lead to a change in reinsurance prices for business in that region, it is not an industry-changing event on its own,” said Helvea analyst Tim Dawson.

Economic recovery from an earthquake is easier when the affected area’s economy is a strong one. Chile’s successful copper production industry was unaffected by the quake. And even though it’s wine, fish and paper pulp industry took a small hit, it’s overall economic outlook remains strong. That economy is now in the hands of incoming President Sebastian Pinera who takes office today. The billionaire conservative businessman and Harvard-trained economist has a tough job ahead of him but many feel he is well-equipped.

The earthquake that struck Chile on February 27 was not the biggest natural disaster the country has faced. Below is a video of the record-breaking 1960 earthquake that registered 9.5 on the Richter scale, the largest recorded earthquake in history — killing approximately 1,655 and causing $550 million in damage. The ravaging tsunamis that followed caused 61 deaths and $75 million worth of damage in Hawaii. Damage was reported in Japan and the U.S. as well. It is the only earthquake known as an “international disaster.”

Optimism in Retirement Savings?

It sounds like a joke in this economy, but it’s true. According to the Employee Benefit Research Institute, U.S. workers are more confident about having enough savings for retirement even after the percentage of savers declined.

It states that the 2010 Retirement Confidence Survey finds that the “record low confidence levels measured during the past two years of economic decline appear to have bottomed out.

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The percentage of workers very confident about having enough money for comfortable retirement has stabilized at 16%,” which is compared to the 20-year low of 13% measured in 2009.

This is odd if you take into account the fact that the survey finds that more respondents’ retirement preparations are still eroding, more have no savings at all and are clueless about savings goals, and more Americans are expected to work longer.

Could all this confidence in retirement savings be the cause of extreme denial or, possibly, just arrogant naivety?

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In other retirement savings news, the United States Department of Labor proposed a new rule that aims to protect and increase retirement savings.

As The New York Times reported:

“These rules will strengthen America’s private retirement system by ensuring workers get good, objective information,” Seth Harris, deputy labor secretary, said in a statement. “When that happens, workers make the kind of decisions that are good for their families and the nation as the whole.”

Could the proposed rule and the confidence level be related?

Risk Management Lessons from the Olympics

This came to my inbox Friday and I found it entertaining and insightful. Written by Donald Mango, chief actuary at Guy Carpenter, this fun read explores the risk management lessons from the recent winter Olympics.

We were all thrilled with the spectacle of the just-completed 2010 Olympic Winter Games from Vancouver. Winter sports are known for their inherent high levels of riskiness, so it should not be too surprising that some valuable lessons related to “personal risk management behavior” can be drawn from the way the athletes make decisions and how the competitions are conducted and judged. As risk professionals, when we watch the action on the snowy mountains and icy rinks, we can get another view on the choices made in the taking of risk or in mitigating risk. Here are just a few lessons that offer additional insights:

  • Risk reward tradeoff in men’s figure skating. The most notable example being the quadruple jump. The new scoring system provides more points for a successful quadruple jump than, for example, a triple axel. The number of additional points, however, is marginal. Most skaters felt the additional reward did not match the increased risk of failing to execute the more difficult jump. Gold medalist Evan Lysacek opted not to do it, much to the chagrin of silver medalist Evgeni Plushenko, who did put in a quad. The lesson here: the scoring system drives behavior.
  • Peer pressure leading to excessive risk taking in freestyle ski moguls and downhill ski. In order to contend for a medal in moguls, skiers needed to balance high speeds, precise turns and spectacular jumps. One skier’s results could lead subsequent skiers to modify jump choices or speed based on what they perceived to be necessary to win a medal. We also saw this in the women’s downhill, where eventual gold medalist Lindsey Vonn’s impressive time had two knock-on effects. First, many of the skiers who followed her crashed in their effort to match her time. Then the final skier, Maria Riesch of Germany, a gold medal favorite, was so intimidated by the crashes that she skied tentatively to an eighth place finish. The lesson: peer behavior can lead to excessive risk taking.
  • Judging risk-based performance in freestyle ski moguls. Judges need to essentially quantify the qualitative. Judgment decisions are based on a combination of speed measurement (objective), turning quality (subjective), and aerials (subjective and objective).
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    Assessment of aerials is based on the execution of the chosen trick. Each trick has an assigned degree of difficulty, and the overall weighting among the three categories is set beforehand. This provides a good framework for making risk preference / appetite decisions. Choose a set of independent factors, measure what can be measured (speed) or adopt a scale. For scaled factors, use multiple assessments (judges) and hedge against outliers (average the scores of multiple judges). Also, regularly review the scoring to ensure appropriateness and get feedback.

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    The lesson: we CAN develop a scientific system for making decisions using expert judgment.

Sports provide us with benchmarks, analogues and evidence to illuminate the way the human mind deals with risk and reward. Applying this understanding to the rationale for companies’ risk decisions demonstrates that some actions may not be in the companies’ best interests. They may be driven by pressures to “perform” and to “follow the pack.

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” We were all thrilled with the spectacle of the just-completed 2010 Olympic Winter Games from Vancouver.

Risk reward tradeoff in men’s figure skating.  The most notable example being the quadruple jump.  The new scoring system provides more points for a successful quadruple jump than, for example, a triple axel. The number of additional points, however, is marginal.  Most skaters felt the additional reward did not match the increased risk of failing to execute the more difficult jump.  Gold medalist Evan Lysacek opted not to do it, much to the chagrin of silver medalist Evgeni Plushenko, who did put in a quad.  The lesson here: the scoring system drives behavior.
Peer pressure leading to excessive risk taking in freestyle ski moguls and downhill ski.     In order to contend for a medal in moguls, skiers needed to balance high speeds, precise turns and spectacular jumps.  One skier’s results could lead subsequent skiers to modify jump choices or speed based on what they perceived to be necessary to win a medal.  We also saw this in the women’s downhill, where eventual gold medalist Lindsey Vonn’s impressive time had two knock-on effects.  First, many of the skiers who followed her crashed in their effort to match her time.  Then the final skier, Maria Riesch of Germany, a gold medal favorite, was so intimidated by the crashes that she skied tentatively to an eighth place finish.  The lesson: peer behavior can lead to excessive risk taking.
Judging risk-based performance in freestyle ski moguls.  Judges need to essentially quantify the qualitative.  Judgment decisions are based on a combination of speed measurement (objective), turning quality (subjective), and aerials (subjective and objective).  Assessment of aerials is based on the execution of the chosen trick.  Each trick has an assigned degree of difficulty, and the overall weighting among the three categories is set beforehand.  This provides a good framework for making risk preference / appetite decisions.  Choose a set of independent factors, measure what can be measured (speed) or adopt a scale.  For scaled factors, use multiple assessments (judges) and hedge against outliers (average the scores of multiple judges).  Also, regularly review the scoring to ensure appropriateness and get feedback.  The lesson: we CAN develop a scientific system for making decisions using expert judgment.
Sports provide us with benchmarks, analogues and evidence to illuminate the way the human mind deals with risk and reward.  Applying this understanding to the rationale for companies’ risk decisions demonstrates that some actions may not be in the companies’ best interests.  They may be driven by pressures to “perform” and to “follow the pack.”

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