Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Of Black Swans and Taking Showers
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Risk Management > Of Black Swans and Taking Showers
Risk Management

Of Black Swans and Taking Showers

paulbarsch
paulbarsch
4 Min Read
SHARE

Those pesky “Black Swans” – extremely low probability events with a large impact have been burned into the lexicon of just about every MBA.  With “Black Swan awareness” in mind, executives are counseled to be on the prowl for unlikely events that could potentially wipe out their headquarters, disrupt supply chains, bankrupt the company, or even lead to employee deaths. And while Black Swans are definitely reasons to seek safer ground, it’s inevitable the biggest risk is right under your nose!

Those pesky “Black Swans” – extremely low probability events with a large impact have been burned into the lexicon of just about every MBA.  With “Black Swan awareness” in mind, executives are counseled to be on the prowl for unlikely events that could potentially wipe out their headquarters, disrupt supply chains, bankrupt the company, or even lead to employee deaths. And while Black Swans are definitely reasons to seek safer ground, it’s inevitable the biggest risk is right under your nose!

Author Jared Diamond writes for the Weekend Financial Times about the importance of understanding everyday risks. In studies of New Guineans, he cites how jungle dwellers will refuse to camp out underneath a dead tree. That’s because even though the risk of such a tree falling on you is 1 in 1000; if one does enough camping under dead trees eventually it will lead to an untimely death. Diamond writes; “New Guineans have learnt from experience which are the real dangers in their lifestyle and they remain constantly alert to those dangers.”

Speaking of daily dangers, Diamond mentions for older adults, it’s more likely you’ll die slipping and falling in the shower, than in any horrific event your mind can conjure.

More Read

INSA Report: Cloud Computing: Risks, Benefits, and Mission Enhancement for the Intelligence Community
BYOD: Reducing the Risk with Mobile App Management
Be Wary of the Science of Hiring
Data Loss: Hazards, Risks and Strategies for Prevention
The FedCyber.com Cyber Security Summit

I blame the media for this over-estimation of extreme events. Simply open a newspaper and you’ll think the world is coming to an end. Fires, earthquakes, wars, pestilence and central bankers (yes, the inclusion of central bankers in “disasters” is intentional) are prominent.  With evidence of just your local paper or watching one hour of CNN, it’s easy to believe the world is filled with one extreme disaster after another.

And while Black Swans are definitely something to prepare for in terms of creating more robust or anti-fragile structures, it’s often daily events that are more likely to hurt us. Case in point, while dying in an airplane crash is a horrific way to check out (1:250,000 probability of death in a given year), it’s much more statistically likely that you’ll meet your maker traveling in a car to your local grocery store (1:5000).

So, yes, prepare as much as you can for extreme events.  Identify the “known knowns” for which you have probability theory to assist, the “known unknowns” where Bayes might help, and try to build robustness for the very infrequent Black Swan type “unknown unknowns”.  

But in all this, please pay attention to the risks closer to home, those dangers you might face every day. And watch out when taking a shower. That first step in, could be quite a doozy.

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive
street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Predictive Analytics Spotlight from IBM

5 Min Read

How They Fit Together: Bell Curves, Bayesian Inference and Black Swans

5 Min Read
Image
AnalyticsBest PracticesCommentaryExclusiveKnowledge ManagementRisk ManagementSoftware

Technology Training Needs a Hands-On Approach

5 Min Read

Data Controls and Customer Loyalty: How Big Companies Keep Clients

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?