Randomised statistical trials are the norm for scientifically rigorous statistical tests. But what do you do when scientific rigour causes an ethical conflict?
How To Really Choose Between Favourite Experiences And Trying New Ones?
Every day in life, you are faced with situations where you have to choose between favourite experiences and new ones. This essay uses science to solve this!
How To Really Understand The Concept Of An Algorithm?
When you think of the word “algorithm”, you are likely to associate it with computers or computer science. But algorithms go well beyond computers and tech!
How To Really Avoid P-Value Hacking In Statistics?
P-value hacking is a phenomenon that is currently ensuring that most published statistical research findings are false. If you are into science, you need this!
How To Really Understand The Philosophy Of Inferential Statistics?
There is a hole at the heart of inferential statistics! The philosophy of inferential statistics helps you understand so that you need not be oblivious to it!
How To Actually Avoid The Transposed Conditional
The transposed conditional is another one of those subtle but very consequential misunderstandings in the field of statistics. Read the essay to learn more!
Why Is The Hot Hand Fallacy Really A Fallacy?
The hot hand fallacy is one of those phenomena that divided and rocked the scientific world. Check out the essay to learn more about this phenomenon!
How To Really Understand Statistical Significance?
Statistical significance is one of those “scientific” concepts/tools that has steadily been misused over the years. In this essay, we clarify the issues!
How To Perfectly Predict Improbable Events
All you need to perfectly predict improbable events is the power of mathematics. If you find this hard to believe, read the essay. It will change your mind!
How To Really Treat Percentages With Negative Numbers
When do you really need to treat percentages with negative numbers? “Not often. If not, never!” If this is your answer, think again! It's not that simple!