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Je me lance dans cette enquête journalistique sur les réseaux sociaux que l'on m'a fortement recommandé.

"The good ol' days..."

[Please boost] My son's best friend, a 16-year-old called Spencer, needs some help.

Spencer and his sister, Lilla, lost their mother a few years back. Then their dad, Doug, who was a friend of mine, suddenly passed away at 52, leaving both kids orphans.

At the moment these two wonderful kids can't even afford a funeral for their dad. If you can chip in, you'd be doing a very good thing to help them.

https://gofund.me/525ddf78

L'Ademe a publié un rapport traitant de l'acceptabilité des mesures de réduction de la place de la voiture.

Ce graphique en début du rapport est éloquent. Selon l'étude, élu·es et citoyen·nes sont largement favorables à la réduction de la place de la voiture. Mais les maires pensent que le grand public est défavorable, ce qui est factuellement faux.

#Ademe #voiture #aménagement

https://librairie.ademe.fr/collection/7593-acceptabilite-des-mesures-de-reduction-de-la-place-de-la-voiture.html

J'ai commencé à lire "Comment sommes-nous devenus réacs?" de Dominique Matonti, dans l'idée de trouver des pistes de réflexion sur ce qui m'apparaît comme une forme de droitisation de la gauche dans nos démocraties occidentales, notamment en France, mais pas seulement.

J'ai décidé de reprendre à zéro mes réflexions sur les questions d'épistémologie et donc de repartir à la base. Malheureusement, cet ouvrage, en plus du style assez lourd et ampoulé, ne correspond pas du tout à mes besoins. J'ai donc arrêté de le lire à partir du chapitre 2. J'ai survolé le reste pour me rendre compte que ce n'est vraiment qu'un résumé de connaissances qui sont supposées déjà acquises par l'auteur. Il s'agit plus de fournir des références rapides en cas de "trou de mémoire" que d'introduire les gens à l'épistémologie. Je le reprendrai peut-être plus tard.

This book takes you on a journey through all areas of life and shows how Big Data systems cause harm in all of them. Through the examination of these case studies, it also gets to the fundamental issues with Big Data and proposes ways to change our perspectives on it.

This book is really good. It is clear, understandable for a layperson and very well-rounded. I would give it a 5/5 if there weren't these two points:

• it is completely US-centric. The case studies are all domestic. This weakens its explaining power for the rest of the world, imo. (this isn't to say that it doesn't make sense or that it's wrong for a US citizen to only write about the US)
• it's 8 years old now, and while it's analyses are not at all outdated, the world of Big Data has evolved since 2016. I often wondered what ended up happening to some of the real-world cases discussed in the book. I would be super curious to read a "follow up", maybe a "10 years later" kind of addendum or revision.

O'Neil is an excellent guide to the world of algorithms and how they impact our lives in ways large and small. To me one of the most depressing lessons of the book was that the people creating these systems which analyze data have almost no interest in the knock-on effects that their work has on people's lives. They are so focused on whatever particular goal they have that they have total blinders as to the damaging effects that their work might have. As with any book about technology the companies have changed a bit since O'Neil wrote the book, but the underlying problems have not changed; thus this continues to be a worthy guide to the challenges that our society will face as we continue to be enmeshed in algorithms which may not have our best interests at heart.