*Originally posted by MOOT*

So what type of convergence is this? convergence in probability, convergence in L_2, convergence in distribution, almost sure convergence?

Stochastic convergence and convergence in probability are the same thing. Please try harder than just googling "convergence" next time.

*Originally posted by aditya-now *

you fell into his trap very nicely, dear Verkiler:

- Allow both drivers to independently setup and develop the cars for an identical period of at least 4 months.

Your statement rather points to the fact that Hamilton indeed profited from Alonso developing his car. Now, with Alonso not developing his car anymore (he and Heikki have to develop now independently) the McLaren is falling behind.

On the contrary, Renault starts catching up. And this is indeed seen in Piquet catching up.

Jamelo did not point to Alonso the driver but Alonso the developer in his theorem...

Good intro for dummies, but The Theorem is very "compact" and there's a lot more than that in it. Bear in mind that it is not impossible that a random driver is as good as Alonso in terms of ability to develop/setup a car...yet the convergence holds for any driver.

The implication is that developing and driving skills are not independent variables, there is a negative correlation. Therefore the better a driver X is developing a car, the slower he will be in terms of raw speed. This has also been proven in a different paper by a team of neurologists and it's related to the effects of ageing and driving experience in these two variables.

The Theorem proves that Alonso is the exception to that rule, hence the assymptotic result relative to

any other driver. He's someone special, perhaps not from this world...but I don't want to digress.

According to the paper published in the

*International Journal of Mathematical Motorsports*:

-Let Kd be a measure of the raw speed of a driver X in a 1-10 scale.

-Let Ks be a measure of the set-up/developing ability of a driver X in a 1-10 scale.

-The sum of this two variables is always 10, i.e. Kd + Ks = 10, for any driver X. Kd and Ks are therefore negatively and perfectly correlated. The higer Kd is, the lower Ks will be and vice versa.

-The sum of this variables for driver Fernando Alonso has to be exactly twice as much, i.e. 20, so Kd = Ks = 10, in order to explain the convergence.

So, although unlikely, a driver can be as good as Alonso in terms of either driving or developing, but not both. However hard he tries, it the conditions of the theorem are met, he will be 3/5 sec slower in the long run.

Last year, Hamilton and Alonso were teammates, as you probably know. The condition of independent development is therefore violated and we shouldn't expect a convergence to 0.6 necessarily. If we assume their raw speed was similar, it means Hamilton's driving is a 10 and his developing skills are zero. So this season he's in trouble. If we think Hamilton was faster, then Alonso was impeded necessarily, as beating Alonso in terms of raw speed throughtout a whole season is a mathematical impossibility.

Fisichella on the other hand was significantly slower than Alonso driving the same car, therefore his developing skills must be quite good, perhaps a 10. So with both drivers being perfect developers it was only natural that Renault got a great car in 2005 and 2006.

The Alonso Theorem is a theory of

everything.