![]() Importantly, a category is NOT a purpose, e.g., the purpose of a birthday party is NOT “ to celebrate my birthday.“ A better but bland purpose would be “ to mark the year,” and even better purposes could be along the lines of “ to surround myself with the people who bring out the best in me,” “ to set some goals for the year ahead with people who will help me stay accountable,” “to take a personal risk/do something that scares me.”Ģ/ Gathering that please everyone are rarely exciting – great gatherings are not afraid of alienating, which is not the same as being alienating. ![]() Hence only a 3-star rating on plot & style.ġ/ Figuring out the real reason that matters is halfway towards a successful gathering. For this reason, I find myself flipping through some chapters where I feel I have captured the main points, yet the examples shared are too detailed for my taste. What I don’t enjoy as much is the narration style – some examples shared in the book feels a bit too wordy and could be slimmed down.This book reads like a combo of instructional manual + philosophy – that’s worth a 4 stars on educational value. Instead, Priya Parker tells us how to re-imagine our roles as a host and the meanings of a gathering. This is not the typical logistical advice you would expect (e.g., how to arrange seats or dinner recipes). What I like is the insights on gatherings – the book is less about what to do at gatherings (though there is a fair share of that) and more about how to think about gatherings (a mindset shift).The learnings from the book will become especially handy when we resume normal social activities (and fingers crossed the situation would improve soon).īefore digging into the key takeaways, general comments on the book – I gave this book 3.5 stars out of 5: :)” Fair point – this may not be a good time to host a gathering, nevertheless it doesn’t hurt to think about how to become a better host. Response: “I like how you are reading about gatherings when we can’t have gatherings during social distancing. Me: “I am reading a book called The Art of Gathering – it’s about tips on how to be a better host of gatherings.” Suitable for: anyone interested in how to host better gatherings, be it a birthday party, a family dinner, or a business meeting The Cohen’s d effect size takes the difference in the average of two groups (x1 – x2) and divides it by the standard deviation (s): The odds ratio = odds of recovering from the drug ÷ odds of recovering on one’s own = (3/2) ÷ (3/7) = 3.5. Likewise, the odds from recovering on your own in the control group = 300 ÷ (1000 – 300) = 3/7. The odds from recovering from the drug in the experimental group = probability of recovering ÷ probability of not recovering = 600 ÷ (1000 – 600) = 3/2. The relative risk of recovery from the drug = probability of recovering from the drug in the experimental group ÷ probability of recovering on one’s own in the control group = (600 / 1000) ÷ (300 / 1000) = 60% ÷ 30% = 2.0. In your experimental group of 1000 patients (where you give them the drug), 600 get better. ![]() In your control group of 1000 patients, 300 get better on their own. Let’s take an example, borrowed from Scott Alexander: The odds are that most people don’t understand the numbers related to the odds – and misinterpret how big the odds really are. Just because these terms are commonly-heard does not mean they are commonly-understood. The goal of this post is to explain the meanings of (commonly-heard) metrics that indicate the “odds” of something (either directly or indirectly). The title of this post is inspired by Scott Alexander’s Never Tell Me The Odds (Ratio). ![]()
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