Probabilmente il miglior libro di statistica mai scritto: Come battere le probabilità e prendere decisioni migliori

by Haim Shapira

Le statistiche sono nei titoli di giornale, nelle previsioni meteo, nelle pubblicità e nei calcoli che facciamo tutti i giorni senza rendercene conto. Eppure non sempre siamo capaci di comprenderle appieno.
Probabilmente il miglior libro di statistica mai scritto trasforma i numeri in uno strumento per decifrare il mondo, insegna a determinare le opzioni a disposizione e a calcolare probabilità di successo, imparando così a prendere decisioni migliori.
Attraverso esempi che riguardano tutti – dall'analisi delle recensioni di hotel su TripAdvisor alla pandemia di Covid-19, dalla probabilità di vincere alla lotteria alle argomentazioni sulla cospirazione della Terra piatta – Shapira affronta, con chiarezza e umorismo, temi come la probabilità, i bias cognitivi, e persino i dilemmi legati al gioco d’azzardo e agli eventi rari.
Medie, deviazioni standard, percentili, scale logaritmiche e coefficienti di correlazione non avranno più segreti.
Perfetto per chiunque voglia padroneggiare il linguaggio universale dei numeri, questo libro spiega come distinguere dati utili da interpretazioni fuorvianti, mostrando come la statistica non sia solo una scienza, ma una chiave per leggere la realtà.

Genres: Mathematics, Nonfiction, Audiobook

253 pages, Kindle Edition

Published July 22, 2025

About the author

Shapira was born in Vilnius, Lithuania in 1962 and immigrated to Israel in 1977.Haim Shapira holds two PhD's (Theoretical Mathematics and Science Education) , is one of Israel's most popular and in-demand lecturers, an author of seven best-selling books, a pianist and an avid collector of anything beautiful. He teaches mathematics, psychology, philosophy and literature. His book "Gladiators, Pirates and Games of Trust" was named one of the best Game Theory books of all time by BookAuthority.

Reviews

[James Freeman · Rating 4 out of 5]

I currently have 85 friends on here and I was wondering how many people might read this book if I write a review. I considered a few factors:

1. Friend Engagement: Not all of my 85 friends will actively engage with my recommendations. If I assume 50% are active readers, that's about 42 people.

2. Interest Overlap: I believe this is a niche book, so I would expect a smaller subset to be interested in statistics. If, say, 25% of active readers enjoy nonfiction or statistics-related topics, that would be about 10-11 people.

3. Conversion Rate: Even if those 10-11 friends see my recommendation, not all of them will necessarily read it. If we assume a conversion rate of 20%, you're looking at about 2-3 friends potentially reading the book.

So, my probability of getting some friends to read it might be around 2-3 out of 85, or 2.35-3.5%.

However, I suggest that you give it a try anyways, even if you are not those 2-3 people.

[M · Rating 2 out of 5]

Probably not....







Some interesting stories, but generally very unstructured/chaotic.

[Jessica - How Jessica Reads · Rating 4 out of 5]

This was super interesting, and quite approachable for non-statisticians. The last statistics class I took was ... sometime in 2003 or 2004. But I still followed about 90% of the problems he presents in the book. Plus it's written in a conversational, entertaining way.

[Charles Reed · Rating 4 out of 5]

Quirky book. That’s the best word for it. Not polished, not perfect, but it hit me with something I hadn’t nailed down before: the law of large numbers, and what it actually does to probability.

Here’s the part that stuck: I always thought probability was static — you’ve got a number, you’ve got your odds, end of story. Wrong. Shapiro showed me the crack in that. The law of large numbers isn’t just about infinite trials, it’s about the difference between a single finite outcome and what happens when you stretch things toward infinity. That shift changes probability.

The cleanest example is contests. If you’re the underdog, you don’t want a series, you don’t want a fair fight over time. You want best-of-one. Because a single trial invites noise — variance — and that’s your shot. Drag it out to best-of-3 or best-of-7, and suddenly the noise gets crushed. The law of large numbers takes over, and your small odds collapse right back down to what they “should” be.

That was the punch for me. Probability isn’t just some fixed percentage — it’s defined by how you set the event. “One trial” and “majority wins out of five” aren’t the same thing. The numbers warp depending on the structure.

The book itself? Eccentric. Sometimes a little too playful for its own good. But it did something most stats books fail at: it rewired my thinking. I walked away with an actual new tool for how I see randomness.

So yeah, 76%. Not flawless, but it taught me something I didn’t understand before, and that matters more than polish.

[Michael McEwen · Rating 4 out of 5]

I probably was never going to understand 100% of this book, but overall it does a good job of making a complicated subject easier to follow by using words to fully describe the equations. A fine, if nerdy, sense of humor throughout certainly doesn’t hurt.

[John M · Rating 4 out of 5]

This may be the best statistics book, but it is not really a book for general consumption. I am a numbers guy, but I found this book to be too far out there in the numbers realm. I enjoyed the book, but the author did go weigh deeper into his subject matter than most ordinary humans can digest.

[Andrew · Rating 2 out of 5]

Great title and I am a sucker for math books, but this one didn't quite do it for me.

[James Mahoney · Rating 3 out of 5]

what're the odds it's average?

[Kevin Parkin · Rating 4 out of 5]

One of the better books on statistics, it's a difficult subject to make 'entertaining' but Haim manages it. It's quite funny in the early chapters, then gets quite complex in the middle, but then gets back to more simplified examples in the later chapters. I'd recommend this book to anyone wanting to obtain a broad understanding of statistics. It's not too heavy on maths, although there is a bit in the middle, its more logic based.

[Mark Leadbitter · Rating 4 out of 5]

Worst book I've read 4 stars. If you know you know.
Great book a little heavy on the math for my brian but really well done.

[Qinqin · Rating 5 out of 5]

I really liked it. But I realized that how silly I was to check out the audiobooks because, duh, there would be tables and graphs. I will purchase a paper copy.

[James · Rating 5 out of 5]

clever and insightful. easy to read and definitely one for maths geeks, but also an easy one to get into!

[DarkLotus · Rating 5 out of 5]

Muy bien explicado y entretenido en temas que cada vez son mas profundos pero que son interesantes yo lo disfrute mucho