We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: When Crisis Hits, Technology is Dumped, and Lizard Brains Take Over
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > When Crisis Hits, Technology is Dumped, and Lizard Brains Take Over
AnalyticsCloud ComputingCommentaryExclusiveRisk Management

When Crisis Hits, Technology is Dumped, and Lizard Brains Take Over

paulbarsch
paulbarsch
4 Min Read
When Crisis Hits, Technology is Dumped, and Lizard Brains Take Over
Photo by AS_Photography on Pixabay (https://pixabay.com/photos/digital-marketing-technology-1433427/)
SHARE

Think of technological progress for a minute. Super computers, cloud computing, high speed networks, and advanced algorithms probably come to mind. But when crisis hits, it may surprise you how leading-edge machines, applications and networks are cast off for good old fashioned technologies like the telephone. If people revert “back to basics” in times of crisis—and assuming volatility is the “new normal”—what are the implications for technology adoption and specifically analytics?

Since the year 2000, global markets have dealt with Y2K, tech bubble (2001), subprime loan crisis (2008), and the global debt crisis (2010). That’s four crises in ten years, and it’s doubtful the world economy is out of the woods quite yet. However, something interesting happens in crisis when fear, turmoil and panic reign. All this new fangled technology gets dropped like a hot potato in favor of old and trusted communication mechanisms.

For example, in the August 12, 2011 edition of the Financial Times, writer Gillian Tett relays a story of stock traders going back to basics during the bankruptcy of Lehman Brothers. On that fateful day September 15, 2008, Tett writes; “Suddenly traders started placing orders by telephone rather than computer, (and) dealing only with people they knew personally. They were also refusing to take long term decisions…mostly the reaction was instinctive.”

In another example of leading edge technologies abandoned when panic hits, see what happened in markets dominated by high frequency traders.  During “normal” times, high frequency traders use super computers to trade equities in narrow bands, sometimes making a mere penny per trade. To make money then, high frequency traders need markets to function rationally and efficiently. However, during times of panic, there is evidence that high frequency traders desert the market in droves, causing stock prices to drop precipitously.  In essence, these companies withdraw their algorithms and super computers to live and fight another day.

More Read

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Design and Delivery Teams – Essential for Enterprise Analytics
Machine Learning Spurs New Era In The Manufacturing Sector
Can Big Data Analytics Make Telemedicine More Functional?
Can Predictive Analytics Prevent DDoS Attacks Against SME Websites?

In “Mean Markets and Lizard Brains” author Terry Burnham says that in chaotic environments, humans rely less on our prefrontal cortex (which provides analytic power) and more on our basal ganglia (lizard brain) which focuses on instinctual behaviors (flight, fight, protection etc). This may explain Gillian Tett’s observations that during the financial crisis of 2008, brokers discarded high powered trading terminals and super computers for phones and traded only with people they knew.

Today’s blogs, articles, whitepapers and more are dominated with topics such as “Big Data”, “Cloud Computing”, and “Business Analytics”, just to name a few. And to be sure, under normal and rational business conditions, these technologies can provide significant benefit.

But what happens when markets spin out of control and everyone activates their impetuous lizard brain? Will individuals have enough composure, courage and prescience to understand these are the times to press for advantage? Or will the lizard brain dominate, leaving advanced projects by the wayside in favor of a back to basics approach?  

TAGGED:big datacloudhigh frequency tradingtechnology adoption
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: A tech-editorial depiction of contextual re-identification risk in linked unstructured support recor
Stripping the Names Isn’t Enough: De-Identifying Unstructured Data
Exclusive Unstructured Data
Flat editorial illustration: The article connects practical management of local data, memory and software environments with direc
How Data Professionals Optimize Devices for AI and ML Projects
Artificial Intelligence Data Science Exclusive Machine Learning
Flat editorial illustration: The article connects verified lease abstraction at signing to accurate property charges and faster m
AI Lease Abstraction and Month-End Close Speed-Up Checklist
Artificial Intelligence Exclusive
Flat editorial illustration: The article explains that file-system choice determines whether Windows, macOS, and Linux can read o
Understanding File System Compatibility Across Windows, macOS, and Linux
Cloud Computing Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

ai for playground safety
Big DataExclusive

Using Data to Plan Safer, More Efficient Public Playgrounds

9 Min Read
Private Clouds Are Here to Stay—Especially for Data Warehousing
AnalyticsCloud ComputingExclusiveLocationRisk Management

Private Clouds Are Here to Stay—Especially for Data Warehousing

6 Min Read
Of Baby Black Swans and the Race to Zero
CommentaryExclusiveRisk Management

Of Baby Black Swans and the Race to Zero

5 Min Read
4 Tools That Leverage Big Data To Track Emails Better Than Ever
Big Data

4 Tools That Leverage Big Data To Track Emails Better Than Ever

7 Min Read

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

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?