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Learning to Think [Cognitive Bias]

34m 54s
English
Paid

Explore how cognitive biases—such as confirmation bias, anchoring effect, and survivorship bias—shape your decisions. This comprehensive course is designed to equip you with essential tools for developing critical thinking, making more balanced decisions, and achieving the clarity necessary for success in both life and work.

Understanding Cognitive Biases

Delve into the intricacies of cognitive biases, exploring how they affect perception and decision-making. By recognizing these biases, you can start to mitigate their impact on your thought processes.

What Are Cognitive Biases?

Cognitive biases are systematic patterns of deviation from norm or rationality in judgment. They often arise from the brain's attempt to simplify information processing.

Common Types of Cognitive Biases

  • Confirmation Bias: The tendency to search for, interpret, favor, and recall information that confirms one's preexisting beliefs.
  • Anchoring Effect: Relying heavily on the first piece of information encountered (the "anchor") when making decisions.
  • Survivorship Bias: Focusing on successful examples rather than considering those that failed, leading to overestimation of probability of success.

Developing Critical Thinking Skills

Enhance your ability to analyze and evaluate an argument by overcoming cognitive biases. This section will guide you through exercises and strategies to improve your critical thinking skills.

Strategies for Improving Critical Thinking

  1. Question Assumptions: Always scrutinize assumptions behind your thoughts and actions.
  2. Consider Alternative Perspectives: Open your mind to different viewpoints to ensure a well-rounded understanding.
  3. Reflect on Your Thought Process: Regular self-reflection can help identify bias in your decision-making.

Achieving Clarity for Success

Learn to achieve mental clarity for more strategic decision-making in life and work. By minimizing biases, you can improve your clarity and focus.

Steps to Achieve Clarity

  • Define Your Goals: Clearly articulate what you want to achieve both professionally and personally.
  • Simplify Complex Problems: Break down complicated issues into manageable parts for better analysis.
  • Maintain a Positive Outlook: A positive mindset can help overcome biases and lead to better outcomes.

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Introduction
All Course Lessons (10)
#Lesson TitleDurationAccess
1
Introduction Demo
04:38
2
Confirmation Bias - Reading the Newspaper
03:10
3
Anchoring Bias - Getting More From Negotiations
03:07
4
Linear Bias - We Will Be Obese! Wait, What?
03:59
5
Survivorship Bias - Mutual Funds Assessment
03:26
6
Selection Bias - Ivy League Effect
02:31
7
Mutual Causality Bias - Police and Crime Rate Case Study
04:33
8
Gambler's Fallacy and Regression to the Mean - The Triumph of Mediocrity
03:47
9
Correlation Is Not Causation
01:50
10
The Baltimore Stockbroker
03:53
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Frequently asked questions

What prerequisites should I have before enrolling in this course?
There are no formal prerequisites for this course. However, a basic understanding of psychology and statistics can help you grasp the concepts of cognitive biases more easily. Familiarity with general decision-making processes will also enhance your learning experience.
What projects or exercises are included in the course?
The course includes practical exercises such as reading the newspaper with a focus on identifying confirmation bias and participating in negotiation scenarios to understand the anchoring effect. These activities are designed to reinforce the theoretical understanding of cognitive biases by applying them to real-world scenarios.
Who is the target audience for this course?
This course is ideal for individuals looking to improve their decision-making skills, professionals in roles that require critical thinking, and anyone interested in psychology and understanding human behavior. Whether you are in business, education, or any field that involves decision-making, the skills learned here are broadly applicable.
How does the depth of this course compare to similar offerings?
The course provides a comprehensive exploration of cognitive biases, covering a range of biases such as confirmation bias, anchoring effect, and survivorship bias. It includes both theoretical insights and practical exercises, making it suitable for learners seeking a balanced approach. While other courses might focus more on either theory or practice, this course integrates both aspects effectively.
Which specific biases and concepts are covered in the lessons?
The course covers various cognitive biases including confirmation bias, anchoring effect, survivorship bias, selection bias, and mutual causality bias. Additionally, it addresses concepts like gambler's fallacy, regression to the mean, and the difference between correlation and causation.
What topics are not covered in this course?
The course does not cover advanced statistical methods or in-depth psychological theories beyond the scope of cognitive biases. It focuses specifically on understanding and mitigating biases rather than exploring broader psychological or statistical frameworks.
What is the estimated time commitment for this course?
The course consists of 10 lessons, each designed to be completed in a manageable timeframe. Although the exact runtime is not specified, students can expect to dedicate a few hours per week to fully engage with the material and complete the exercises. The flexible structure allows learners to progress at their own pace.