La fagIAnata is an online road cycling magazine, a project of Tinke<\/a>, the Reggio Emilia company that builds artificial intelligence systems (SMART – Strategy Marketing Technology S.r.l.).<\/p>\n\n\n\n From the official UCI results, the organizers, open archives and weather models; the rest we calculate ourselves. Photos always carry their author and licence.<\/p>\n\n\n\n It helps us sort the data, do the maths, follow live races, translate, and write race news with Mnemosyne<\/a>. A piece goes out only if it passes our checks. It doesn’t invent quotes, doesn’t generate photos that look real and stays away from gossip and suspicion.<\/p>\n\n\n\n Every estimate comes with its range: not \u201c6.12 W\/kg\u201d but \u201cbetween 5.8 and 6.4\u201d. Estimates made during live races are marked with \u201cabout\u201d.<\/p>\n\n\n\n The fagIAno is our artificial intelligence model for races: it gives every starter a probability of winning, making the podium, finishing in the top ten. We build it ourselves and use it only if it predicts better than the benchmarks. Before the start we freeze its probabilities with a digital fingerprint and never touch them again; after the finish we publish the receipt, even when we got it wrong. The running total is in the fagIAno record<\/a>.<\/p>\n\n\n\n You can talk to the fagIAno through the bubble at the bottom right: it answers with our data, thanks to Mimir<\/a>. What happens to your messages is explained in the privacy policy<\/a>.<\/p>\n\n\n\n At the end of race news: average speed, weather at the finish, how much the race split up, and climbing watts. An item appears only if the data exists.<\/p>\n\n\n\n In the analyses, climb by climb: time, speed, VAM (metres of climbing per hour) and watts per kilo, estimated with a physical model and always with a range. The same model powers the Climb timer<\/a>.<\/p>\n\n\n\n After a finish that matters, sometimes, a single figure from the archive of official results, with its scope: \u201cthe youngest since at least 2009\u201d means we don’t know about before.<\/p>\n\n\n\n In the Stories<\/a> we go back to the cycling of the past, with sources. The results of yesterday teach us to read today’s races; and history reminds us that this is a sport made of passion.<\/p>\n\n\n\n Found a mistake? Tell us<\/a>. We fix it with a dated note at the end of the piece and list it on the Corrections<\/a> page.<\/p>\n\n","protected":false},"excerpt":{"rendered":" Who publishes, where the numbers come from, what artificial intelligence does and how we correct mistakes.<\/p>\n","protected":false},"author":0,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_fagianata_traduzione":0,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/types\/page"}],"replies":[{"embeddable":true,"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":10,"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":3668,"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/pages\/6\/revisions\/3668"}],"wp:attachment":[{"href":"https:\/\/lafagianata.it\/en\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Where the numbers come from<\/h2>\n\n\n\n
Artificial intelligence<\/h2>\n\n\n\n
Numbers with a range<\/h2>\n\n\n\n
The fagIAno<\/h2>\n\n\n\n
The fagIAno has a voice<\/h2>\n\n\n\n
Race numbers<\/h2>\n\n\n\n
The climbs, measured<\/h2>\n\n\n\n
The Number<\/h2>\n\n\n\n
History<\/h2>\n\n\n\n
Mistakes and corrections<\/h2>\n\n\n\n