Que solución encuentran para los pibes de 18 a 35 que no estudian ni trabajan y cobra un plan? ejército? oficios? trabajo municipal? algo hay que hacer.
Last week there was a flawed (and now deleted) analysis that claimed that Messi was 5.9 sigma above other players. I decided to redo it properly, asking the following questions:
1) what data should we use?
2) what is the relevant population?
3) What distribution does it fit?
I scraped FBref from 1995-96 through 2024-25. I decided to keep only players who are categorized as forward first (position starts with FW). No goalies, no defenders, no midfielders. For the final analysis I used seasons from 2014-15 onward, because FBref’s assist data is incomplete in many older seasons.
The metric I used is non-penalty goals + assists per 90. Penalties are valuable, but penalty-taking is partly a team assignment. Sometimes a defender is in charge of them (Argentines might remember Daniel Passarella, an amazing defender whose left leg fired missiles). The distribution is obviously not normal, so I tried several to see which fits best. Normal, gamma, exponential, weibull, lognormal. Which one do you think works best? It's gamma.
The top aggregate players by non-penalty G+A/90 were:
1. Lionel Messi
2. Kylian Mbappe
3. Luis Suarez
4. Erling Haaland
5. Robert Lewandowski
6. Cristiano Ronaldo (!)
7. Sergio Aguero
The qualified striker-season sample has mean non-penalty G+A/90 of 0.508 and standard deviation of 0.230. Messi’s aggregate rate across his qualified seasons is
1.238.
So if we compare Messi’s sustained career rate to the striker-season distribution:
(1.238 - 0.508) / 0.230 ≈ 3.18
That puts Messi about 3.2 standard deviations above the qualified striker-season mean. Under the fitted Gamma distribution, his aggregate rate is around the 99.31st percentile. This is way more reasonable than the crazy 5.9 standard deviations claim that went viral.
We know that Messi is the GOAT. There hasn't been anyone like him. HOWEVER, he is not a miracle Jesus Christ asteroid-kills-dinosaurs phenomenon. Among long-career qualified forwards, there are 102 players with at least 100 total 90s, after only counting individual striker seasons with at least 20 90s played. Messi is the only one at or above his aggregate rate. If 1/102 were the true base rate (huge assumption) then the chance of seeing at least one Messi-level career among the next 25 comparable careers is about 22%, among the next 100, about 63%. Will that take 25 years? 100 years? I don't know. The young among you will probably see another Messi in their lifetimes, those of us in our 50s might not, and we're lucky to have witnessed him.
If there's interest I'll make a github repo with everything I did (with a ton of help from Codex, of course).
🔹Manejó su Toyota GR Yaris desde Neuquén hasta Texas para ver el Mundial 2026.
🔹Marcos Damián Viesti usa el deportivo japonés como transporte y hogar.
🔹Los videos de su viaje por toda América: https://t.co/rxeXBXzf45
@ElianaCere Yo diria que pongan 100 o 200 empleados por cada intersección a lo largo y ancho de todas las vias del pais, incluso en semaforos para evitar que los hij#s de puta que no respetan nada puedan seguir vivos..
@tobillosdepapel Nada justifica poner en riesgo la vida de 3ros por ser una adicta, inhabilitada para conducir, que no puede esperar 2 minutos. 0 empatía.
@MNPicc Soy vecino de la zona, tenes 1500 alternativas para evitar ser un pelotudo/a irresponsable que pone en riesgo la vida de otros.. indefendible. Desenlace cantado teniendo en cuenta sus públicos antecedentes. Sumado a que aparentemente no estaba apta para conducir.
@mbsfauer No se loco, tenia licencia suspendida, antecedentes de manejar alcoholizada, varios choques, adicciones, cruzo con la barrera baja.. marcó su destino y nos evito un peligro a todos.
@karinarasic@Martulity El Tren de la Costa en esa zona anda perfecto. Baja la barrera con señales de luz y sonido, al toque pasa el tren, y sube la barrera y listo.