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Cognitive Biases: Bias Blind Spot

Cognitive Biases: Bias Blind Spot

Introduction to the topic of cognitive bias, particularly our own blind spot to this phenomenon.

At conferences we like to introduce my topics with a short story, usually involving this little character. He's a pipeline operator and he's had a number of pipeline problems over the last few years. Fortunately, we always solve his latest problem by the end of my 20 minute presentation. 

To make up for his distinct lack of facial features, we do occasionally give him some props. At IPC 2016, for example, he was lying in his bed worrying about pipelines. Then two years later at IPC 2018 he was standing by his desk – still worrying about pipelines. IPC 2020 is still some way off, but I plan to give him a new desk to stand by while he worries about pipelines. 

So which one do you prefer? The long, thin desk A, or the shorter, fatter desk B?



Well… it may surprise you to hear that both of these tabletops are drawn exactly the same size. If you do not believe me, grab a ruler and measure the sides.

This little trick is known as the "Shepard Tables" illusion, and it is a good example of cognitive bias – a systematic error in judgement that arises in human cognition. Cognitive biases can make you see, hear, think or feel things that are not quite right. That can result in bad decisions.

Perhaps the most alarming trait of cognitive biases is that you cannot shake the faulty perception, even when you know that you are wrong. The bias is a built in feature of your brain.

More specifically, the tables illusion is a side effect of your three dimensional perception. When we are moving through the three dimensional world around us (like when we are driving a car or running away from a bear), this quick visual processing system is immensely useful.

The only problem is that the system can be tricked, even by something very simple like a two dimensional drawing of a three dimensional object. You cannot "unlearn" the way you see the world (unless you're happy to crash your car or get mauled by the bear), so you just have to live with the possibility of being tricked.



Great question.

The pipeline industry, like many others, is undergoing a digital transformation. That means we are transitioning towards an era in which digital technologies will underpin all of our business activities. Whether it is data analysis or engineering, recruitment or marketing, more and more of what we do is facilitated by machines.

And is it any surprise? Today's commercial computers operate at processing speeds in the GHz range. That means billions of operations every second, without getting bored, tired or asking for money. You cannot compete with that.

To rub even more salt into the wound, computers do not have cognitive biases. So when a well programmed machine observes the Shepard Tables, it sees two identical parallelograms – and thinks you are stupid.

In conclusion, we should all be replaced by machines. Right?



Wrong.

Humans have plenty of qualities that today's machines cannot reproduce: individual and collective experience, ethics, intuition, and an empathic understanding of human behavior, to name a few. We are also the ones that think creatively, design the hardware, write the algorithms and keep everything running smoothly.

So let us not give up just yet.

What I would say is that the onus is on the human workforce to maintain its relevance. That means developing competency with computing, data and statistics. But it also means fighting our cognitive biases.



OK…

To start off the proceedings, here is a quick fire questionnaire. For each question you answer with a "yes," you score 1 point. If the answer is "no," you score 0 points. Answer as honestly as you can.

  • Do you pay more attention to evidence that confirms your preconceptions rather than evidence against your argument?
  • Do you see patterns in data where there are none and try to make coherent stories out of small or random datasets?
  • Do you give too much weight to your most recent memories and experiences?
  • Do you rely too heavily on a single source of information (often the first one you look at)?
  • Do you find it difficult to accept information that predicts an impending disaster?


If, like our faceless friend, you scored 0 out of 5 (or indeed anything below 5), you may be suffering from "bias blind spot." This is the cognitive bias of underestimating the extent of your own cognitive biases! Overcoming this is the first step on the road to recovery.



Meet the experts

Michael Smith Principal Engineer, ROSEN Group

Michael Smith is a chartered Chemical Engineer and Data Scientist with a Master's degree in Chemical Engineering from the University of Cambridge. Within ROSEN he leads the development of new asset integrity technologies, with a specific focus on 'Integrity Analytics' – the use of data analytics to support integrity management decisions.


This post is part of a series. Check out the other related posts...

Series: Cognitive Bias

Understand the range of cognitive biases and how this phenomenon links with pipeline engineering.Posts in this series... Cognitive Biases: Bias Blind Spot Introduction to the topic of cognitive bias, particularly ...
https://rosengroup.tovuti.io/my-resources/series-cognitive-bias


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