Cognitive distortions, unconscious bias, cognitive bias, implicit bias, logical fallacies: you probably heard most or all of these terms. They can get really confusing if you don’t know the difference ...
Learn how outcome bias affects decision-making by focusing on results over process. Discover examples in investing, gambling, and business to improve financial decisions.
The self-serving bias is defined as people's tendency to attribute positive events to their own character but attribute negative events to external factors. It's a common type of cognitive bias that ...
When you come across articles about human decision-making, whether in the popular press or scientific literature, the probability is high that the expression "cognitive bias" is likely to be used. In ...
Imagine you decide to walk to the park. As you head out the front door, you take a left and walk for about a block. At that point, you realize it would’ve been a faster journey if you would’ve taken a ...
Subconscious biases are common in medicine because doctors and other health staff are humans who are prone to such errors. Cognitive biases are not necessarily caused by negative intentions — they ...
Lawyers strive for fairness and justice in every case they handle. However, the behavioral science research shows that human reasoning in legal contexts is inherently flawed and vulnerable to both ...
Cognitive biases can have a negative impact on an investor’s ability to make rational decisions, potentially derailing their investment goals. These mental shortcuts and distortions that we make ...
The traditional traffic light system used by chief information security officers (CISOs) to report cyber risks to boards is showing signs of strain. After interviewing more than 10 CISOs across Europe ...
Delve into the role of safety technology in tackling cognitive and confirmation biases, uncovering often overlooked workplace risks and fostering a proactive approach to ensuring a safer work ...
Anchoring bias is a form of cognitive bias where people tend to place extra importance on the first piece of information they get on a topic, regardless of the accuracy of that data point. In ...