
Let's start with an Interesting Research Study !
Course Introduction, and Course Structure
Course Navigation Tips
Introduction, a Puzzle, Optical and Cognitive Illusions !
A Scenario Discussion, something we all have faced !
Scenario Discussion continued ... what happens at the end ?!
The Psychology and Neuroscience behind it
Decision-Making, Energy, and Exhaustion, when NOT to make decisions !
In defense of our Instincts, when to use them and when not to !
Cognitive Biases - Short and Sweet Introduction!
The Bias Blind Spot (our blindness to our own biases), Part 1
The Bias Blind Spot, Part 2
The Availability Heuristic, Part 1
The Availability Heuristic, Part 2
The Availability Heuristic, Part 3
The Importance of Research, and a Disclaimer!
The Status Quo Bias
The Confirmation Bias, Part 1
The Confirmation Bias, Part 2
The Framing Effect and Loss Aversion, Part 1
The Framing Effect and Loss Aversion, Part 2
The Framing Effect, and Loss Aversion, Part 3
An overview of the Halo Effect, The Halo Effect, Part 1
The Halo Effect, Part 2
An Introduction to the Priming Effect and some research on it.
Some more ... on Priming.
The Priming Effect, Part 3
The Anchoring Effect, Part 1
The Anchoring Effect, Part 2
The Anchoring Effect, Part 3
The Anchoring Effect, Part 4
The Fundamental Attribution Error
In the Spotlight!
The Optimism Bias
The Planning Bias, Part 2
The Cost of Irrationality - Part 1
The Cost of Irrationality - Part 2
The Costs of Irrationality - 3
The Costs of Irrationality - 4
The Costs of Irrationality - Conclusion
Some more Irrationality Case Studies
Introduction
Decision-Making Process : ROI of your Decision
De-Biasing Methods Part 1
De-Biasing Methods Part 2
De-Biasing Methods Part 3
De-Biasing Methods Part 4
De-Biasing Methods Part 5
Logical Fallacies, what are they, how do they differ from Biases, and a few common ones!
Some more Logical Fallacies, with examples.
Logical Fallacies, Final Part
A Checklist for Decision Making, and Problem Solving Part 1
A Checklist for Decision Making, and Problem Solving, Part 2
The 10-10-10 Rule !
Sleep on it, or at least, Slow Down !
Noise, An Introduction
Noise : A Research Study
Whats a Noise Audit ?
Techniques to deal with Noise, Part 1
Techniques to deal with Noise, Part 2
A Practice Exercise to help you apply the learnings from the Noise Section
How to download your UDEMY CERTIFICATE, PDF enclosed.
The type of thinking required for Creative Problem Solving - Convergent and Divergent Thinking
Some Evaluations, and Examples, that can be useful
Functional Fixedness
What's great for BOTH Creativity and Rationality ?!
Why do we think the way we do ? Evolutionary Context, Part 1
Why do we think the way we do ? Evolutionary Context, Part 2
Credits and Gratitude !
This course contains very limited use of AI (Artificial Intelligence) tools. To help locate relevant research papers, for slides and infographics, and minor language edits.
Make Better Decisions. Think More Clearly and Critically. Solve Problems More Effectively. Reduce Decision Noise.
Good decision-making is not just about intelligence, experience, or having more information.
Even smart and experienced people can be influenced by cognitive biases, mental shortcuts, logical fallacies, overconfidence, and decision noise. We can miss important evidence, jump to conclusions, frame problems badly, or become too confident in judgments that feel right.
The good news is that we can learn to think more carefully.
This research-based course brings together ideas from psychology, cognitive science, behavioral science, and behavioral economics, to help you strengthen your critical thinking, decision-making, and problem-solving skills.
You will explore how judgments and decisions are actually made, why they sometimes go wrong, and what you can do to improve the process.
You will learn about cognitive biases and heuristics, including when mental shortcuts help us and when they can mislead us.
You will examine logical fallacies, and learn to recognize weak reasoning, questionable arguments, and conclusions that are not fully supported by the evidence.
You will also learn about Decision Noise: unwanted variation in judgments that should ideally be similar. Bias and noise are different problems, and both can reduce the quality and consistency of important decisions.
We will also look at the roots of human decision-making, and why some patterns of thinking may have been useful in one context, but can create problems in another.
Most importantly, you will get several tools and techniques to help you with all these problems.
You will learn practical ways to challenge assumptions, reduce bias, examine evidence more carefully, consider alternative explanations, structure difficult decisions, and approach problems from different angles.
You will also explore practical problem-solving techniques that can help you move beyond obvious answers and think more creatively when the situation calls for it.
Throughout the course, research is connected to practical examples, exercises, and realistic situations so that you can apply what you learn, rather than simply remember a list of theories.
This course is designed for leaders, managers, employees, business and management students, and anyone who wants to become a sharper and more thoughtful decision-maker.
You do not need to become perfectly rational. None of us can.
The aim is much more practical: to notice more, question more, reason more carefully, and make important decisions with greater clarity and confidence.