Never Beyond Bias

I have always been preoccupied by bias, but last year I spent a lot more time trying to understand what drives and enables it. Bias is important – no amount of data leads to a good decision if either the data or the decision-making logic is biased. If you appreciate that, you understand why bias is the greatest opponent to robust risk management, and why what seems like good risk management may be utterly flawed. The financial collapse is an excellent and relevant example. Bias is insidious; it often works beyond the limits of our comprehension. Its subtleties lie so deep they may be invisible even to scientists, the group in society that struggles to eliminate bias more than any other. A recent article in The New Yorker beautifully explains how endemic bias plagues the scientific community, even though scientists are not conscious of it. You can read it here. If we can understand why science fails to eliminate bias, leading to expensive and mistaken decisions, we can better understand how all-pervasive bias is a constant challenge to risk management.

Eric Priezkalns
Eric Priezkalns
Eric is the Editor of Commsrisk. Look here for more about the history of Commsrisk and the role played by Eric.

Eric is also the Chief Executive of the Risk & Assurance Group (RAG), a global association of professionals working in risk management and business assurance for communications providers.

Previously Eric was Director of Risk Management for Qatar Telecom and he has worked with Cable & Wireless, T‑Mobile, Sky, Worldcom and other telcos. He was lead author of Revenue Assurance: Expert Opinions for Communications Providers, published by CRC Press. He is a qualified chartered accountant, with degrees in information systems, and in mathematics and philosophy.