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This is a seriously good summarisation prompt: 1.) Analyse the input text and generate 5 essential questions that, when answered, capture the main points and core meaning of the text. 2.) When formulating your questions: a. Address the central theme or argument b. Identify key supporting ideas c. Highlight important facts or evidence d. Reveal the author's purpose or perspective e. Explore any significant implications or conclusions. 3.) Answer all of your generated questions one-by-one in detail. < input text >

Must read paper :Contextual effects: how to, and how not to, quantify them Great paper to understand contextual effects 👌 https://lnkd.in/gjrT9K_Y

We don't have a good intuition when it comes to statistics... One of the many cognitive biases we experience as humans. I have been illustrating the book of Rolf Dobelli "The Art of Thinking Clearly", which covers 99 of our biases. n25 - Neglect of Probabililty We struggle to understand probability intuitively, often focusing more on the potential impact of an event rather than its actual chances. n26 - Scarcity error: When an option is taken away or scarce, we often find it more appealing. n27 - Base-Rate Neglect We tend to ignore the overall frequency or probability of an event when making judgments or decisions. Instead, we often focus too much on specific information or characteristics, such as individual cases or anecdotal evidence. This can lead to errors in judgment. For example in the illustration, we may assume James to be more likely to be a professor as he likes reading, while there are much more Truck Drivers that likes to read, than literature professors. ------------------------------------------------------------------------ You can find the previous drawings by scrolling through my posts and looking for the "yellow bar" type of posts or using #cognitivebiasillustrated I have also collected them in larger posts on my Substack, "The Visual Drawer". I have just released part 3; you can find the link in my profile, or the comment section.

answer to the following question in your own opinion in 1-2 pages on how analyzi

A quick process for discovering what you really want to write about https://lnkd.in/ebdXq-ha

Using the attached case study answer the following: As of 2016, how well had

"pudding.cool" In the search for data science-based unique websites, I came across this one 'pudding.cool'. I went in awe finding how creatively they've built this site and how sensibly they are presenting data from around the world. Even they have given the resources and videos on how they've created this site!!! Plus an impressive UI adds to the glamor! 😍 Check out the finely curated, data-driven186 stories at https://pudding.cool/ #datascience #dataanalytics #bigdata #data_visualization #pudding #datadriven

Please look at the analysis of the questions you got wrong and summarize the con

💡Great write up in the Point of View! 📰 Full article here: https://lnkd.in/e_r5yxYB

Purpose: What problem(s) is each document discussing and what work does the prop