Selected Workers' Books｜Should I queue for this 200-person crispy chicken queue? —"Able People Use Statistical Thinking and Judgment"

Selected Workers' Books｜Should I queue for this 200-person crispy chicken queue? —"Able People Use Statistical Thinking and Judgment"

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Take you through reading, exchange ideas with the author, and internalize your insights!

【Foreword】

Good day, my friend, I am Brother Stone - your career mentor . Brother Stone has been tumbling in the academic and technology industry workplaces for more than 25 years by relying on "statistics", all the way from the grassroots to the top. Today, what Shishi wants to share with you is a very simple statistical book: "Competent People Use Statistical Thinking and Judgment". It only has 35 course concepts. It teaches you to use "statistical thinking" to see through rumors and help you make more correct decisions in daily life and even career planning.

♟ Recommended source: from ReadMoo;
♟Recommended book: "Able People Use Statistics to Think and Judge" , Author: Takuya Shinohara, Publisher: Shang Zhou Publishing ♟ Reading object: Statistics is not so difficult, dedicated to those who want to read a little bit of statistics, but are afraid of being bitten by statistics people.

[After the essence of things has been sorted out, it will not affect your judgment]

1. What can you learn?
You and I have been crammed in education since childhood and rarely taught you to think, but when you enter the workplace, especially as a small supervisor in the technology industry, companies come to you to solve problems, while subordinates are waiting for you Instruct and seek your answers, let the whole team achieve or even exceed KPIs, and move towards the big goals of the enterprise.

And simple statistics can really help you reduce unnecessary time waste and focus on important matters. This book compiles the author's knowledge and insights, through daily life cases, takes you through statistical thinking, and learns the four aspects of being a supervisor. ability:

✅1. Inference power: allows you to judge the information in time "is it true?" "is it false?"
✅2. Decision-making power: think with "hypotheses" and make correct decisions in a timely manner.
✅3. See through the essential power: this choice "earned?" or "lost?"
✅4. Simple thinking: should you "avoid" or "take" risks

2. Knowing it instantly, and then queuing up, "how many minutes will you have to wait"?
Question: Should I queue? Or give up?

It's like the crispy chicken that is very popular on the Internet recently.
The long queue also stretches for several stores. If you happen to buy two movie tickets today, you are going to take your baby to enjoy it in an hour, but your baby loves the crispy chicken in this store. Seeing this long The long queue really makes you wonder if you should queue up? Or give up the queue?

Countermeasure: Super simple ✅Step 1. Visually measure the number of people in front (assuming 200 people;
✅Step 2. Get in line, time for one minute, and see how many people are in the back line (assuming 8 people);
✅Step 3. Divide Step 1 by Step 2, which is your waiting time in line.

The obvious answer is 200/8 = 25 minutes. In other words, your movie is still an hour away, you have enough time to line up to get your little one's favorite crispy chicken, and there are more than 35 minutes left!

Statistical principles: Little's law
Little's law was introduced in 1961 by John Sloan, a professor at the Massachusetts Institute of Technology Sloan School of Business. Little (John Little), proposed and tested laws. This rule is also very practical in the technology industry, learn it!

【in conclusion】

You are the CEO of your career. Isn't the case mentioned above by Brother Stone very simple, obvious and easy to understand? If you don't believe it, you can also try the experiment on weekends and holidays! This is a very interesting and meaningful daily case of this book, which makes it super simple and practical for you to learn. It is recommended for those who want to use statistical thinking and break rumors. I believe that one day in the future, these knowledge can be internalized as Insights you use!

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