Najboljše knjige o uporabnosti in tveganjih glede uporabe statistike

Tim Harford, eden najboljših popularnih piscev s področja ekonomije, ki je pisal za The Economist, Financial Times, dela za BBC in je avtor nekaj odličnih knjig (The Undercover Economist, Adapt: Why Success Always Starts with Failure, The Data Detective), je podal spodnjo listo najboljših knjig s področja uporabe statistike v vsakdanjem življenju ter pri poslovnem odločanju. Meni najljubše so seveda The Signal and the Noise, Naked Statistics, Invisible Women in Weapons of Math Destruction. Nekatere med njimi opozarjajo na meje statističnega sklepanja (The Signal and the Noise), na nevarnosti zanašanja na algoritme in statistične metode pri poslovnem odločanju (Weapons of Math Destruction) ter na namerne ali nenamerne zlorabe pri uporabi statističnih podatkov (Bad Science). Knjige, ki so oblikovale tudi moj pogled na moč & nemoč statistike ter potrebno dozo previdnosti. Močno priporočam.

The Art of Statistics by David Spiegelhalter @D_Spiegel is a wide-ranging guide to how statistics work, full of vivid and humane examples by the world’s greatest living statistical communicator.

The Signal and the Noise by @NateSilver538 is a great guide to the power and limits of statistical thinking.

The Biggest Bluff by @MKonnikova is, of course, a brilliant, riveting book about poker rather than statistics. Except that of course, it’s really a book about how to think clearly about statistics.

The Tiger that Isn’t by Andrew Dilnot and Michael Blastland is the closest thing you’ll find to a @BBCMoreOrLess bible. So full of wisdom; hugely recommended.

Naked Statistics by @CharlesWheelan is very clear, fun book about all the important ideas in statistics. A great preparation for any course requiring statistical skills.

Invisible Women by @CCriadoPerez is a truly eye-opening book, exploring the consequences of data-gathering with the assumption that the default human is male. A must read.

Weapons of Math Destruction by Cathy O’Neil (@mathbabedotorg) explains what happens when we place too much in statistical algorithms to make high-stakes decisions.

Innumeracy by @JohnAllenPaulos is a hugely influential exploration of what happens when people (particularly journalists) can’t think statistically.

Bad Science by @BenGoldacre – a hilarious, razor-sharp critique of media foolishness about stats, science and medicine.

And if you’ve made it this far you probably already know about my own book, which is called How To Make The World Add Up in the UK, India, Ireland, Australia, South Africa, New Zealand…

Vir: Tim Harford

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