El Cuchitril

El Teorema del salario de Dilbert establece que:

Los Ingenieros y los Científicos, nunca pueden ganar tanto como los Ejecutivos y los Comerciantes.
Se lo demuestra matemáticamente a partir de los siguientes dos postulados que son del dominio popular:

– Postulado Numero.1: Knowledge is Power (el Conocimiento es Poder)
– Postulado Numero.2: Time is money (el Tiempo es Dinero)

Todos conocemos el siguiente principio de la física: Power= Work/Time
(Potencia es = Trabajo/Tiempo)

– Pero considerando que Knowledge es = Power
– Tenemos que: Knowledge = Work/Time (Conocimiento es = Trabajo/Tiempo)

Y como Time es = Money
Tenemos que: Conocimiento (Knowledge) es = Trabajo (Work) / Dinero (Money)

Ahora, si en ésta ecuación, despejamos la variable «Dinero»

Obtenemos que:

Dinero es = Trabajo / Conocimiento

Así se demuestra que, cuando Conocimiento se aproxima a cero (0), el dinero tiende a infinito, independientemente de la cantidad de trabajo realizado. Con lo que queda demostrado que: CUANTO MENOS SEPAS;
MAS GANARAS.

Nota: Si no has entendido la demostración de este Teorema, no te preocupes seguramente estarás gozando de un jugoso sueldo.

La wikipedia tiene una entrada interesante sobre este teorema

Originally Posted to Gleason Sackman’s Net-Happenings

Date: Wed, 5 Apr 1995 07:07:16 -0600
From: Mike Gurstein
To: Multiple recipients of list
Subject: Fwd: Life cycle of Lists (fwd)
———————
Forwarded message:
From: mforster@findhorn.org (Michael Forster)
To: communitarians@civic.net
Date: 95-03-31 07:57:23 EST

This seemed like a good time to post this item from the Humor List.
Michael Forster

THE NATURAL LIFE CYCLE OF MAILING LISTS

Every list seems to go through the same cycle:

1. Initial enthusiasm (people introduce themselves, and gush a lot about how wonderful it is to find kindred souls).

2. Evangelism (people moan about how few folks are posting to the list, and brainstorm recruitment strategies).

3. Growth (more and more people join, more and more lengthy threads develop, occasional off-topic threads pop up)

4. Community (lots of threads, some more relevant than others; lots of information and advice is exchanged; experts help other experts as well as less experienced colleagues; friendships develop; people tease each other; newcomers are welcomed with generosity and patience; everyone—newbie and expert alike—feels comfortable asking questions, suggesting answers, and sharing opinions)

5. Discomfort with diversity (the number of messages increases dramatically; not every thread is fascinating to every reader; people start complaining about the signal-to-noise ratio; person 1 threatens to quit if *other* people don’t limit discussion to person 1’s pet topic; person 2 agrees with person 1; person 3 tells 1 & 2 to lighten up; more bandwidth is wasted complaining about off-topic threads than is used for the threads themselves; everyone gets annoyed)

6a. Smug complacency and stagnation (the purists flame everyone who asks an ‘old’ question or responds with humor to a serious post; newbies are rebuffed; traffic drops to a doze-producing level of a few minor issues; all interesting discussions happen by private email and are limited to a few participants; the purists spend lots of time self-righteously congratulating each other on keeping off-topic threads off the list)

OR

6b. Maturity (a few people quit in a huff; the rest of the participants stay near stage 4, with stage 5 popping up briefly every few weeks; many people wear out their second or third ‘delete’ key, but the list lives contentedly ever after)

—-

From time to time I use more or less this very good summary of the list/forum/community to explain to more than one newcomer why there is a hype about something a very good time and then the abandon of it the best source that preserves it’s probably the first hit on google searching for list lifecycle I originally read it on a book about managing lists with majordomo around 2000 lots of things had happened but the majority of the reflexion keeps working, even when in their time was a humor post.

Si, gracias a que a la basura tiraron un montón de hardware, hoy dos computadoras tienen 1GB de RAM y otras dos tienen 512MB y todavía me sobraron 256MB en 2 SDRAM PC133 de 128 cada uno además de otros dos DIMM de 128 PC3100(266mhz). El día anterior debí haber hecho una revisión rápida de cuando tiraron el bonche mas grande