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: Why count on the brain for truth?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Why count on the brain for truth?
Uncategorized

Why count on the brain for truth?

StephenBaker1
StephenBaker1
2 Min Read
Why count on the brain for truth?
Photo by Pavel Danilyuk on Pexels (https://www.pexels.com/photo/man-sitting-at-the-desk-and-counting-money-while-using-a-calculator-7654190/)
SHARE

Try this. Hold your thumb as far away as you can from your eye. That represents about one percent of your field of vision. When we see things, that’s about the extent of our focus. The rest of the picture is supplied by schema that we fill in from our memory.

I was discussing this yesterday with Rich Carlson, a psychology professor at Penn State. He said that we have limited capacity for new sensory input. And much like a computer on narrow-band, we store a lot of cached information to round out the meager flows we process. That’s why people often experience what they believe, instead of what they actually see or hear. And it’s why when their brains are busy watching a basketball game and counting the passes between the players, they miss other phenomena.

These things have been known for a while. But now, increasingly, we have sensors to back us up: security cameras, digital recorders. And as those machines take over the monitoring and measuring of physical reality, our own views and testimony will be discounted. Referees in professional sports are already experiencing this. The testimony of eye-witnesses in court, I’m sure, will also be taken ever more lightly as digital evidence piles up.

My question: Is this progress? Will the brain simply be regarded as an instrument of art, feelings and communication, and an unreliable witness or judge of what’s happening in the world? Is this a good thing?

More Read

Who Wants Yesterday’s Papers?
Who Wants Yesterday’s Papers?
First Look: IBM Decision Optimization Cloud
Fixmo Secures Strategic Investment from Samsung Ventures
Data Breach Lawsuits Revived: Court Turns in Favor of Consumers
Most Swans are White: Living in a Predictive Society
(embeded object)
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data
Flat editorial illustration: The article explains how one KYC upload becomes separate records held by a verification vendor and a
What Happens to My KYC Data Behind the Approval Screen?
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Pragmatic Enterprise 2.0
Uncategorized

Pragmatic Enterprise 2.0

5 Min Read
Why Do Once Successful Companies Fail?
Uncategorized

Why Do Once Successful Companies Fail?

7 Min Read
Value Your Customer Data as a Business Asset
Uncategorized

Value Your Customer Data as a Business Asset

8 Min Read
Twitter, What We Have Done; What is Possible?
Uncategorized

Twitter, What We Have Done; What is Possible?

5 Min Read

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

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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?