Skip to main content

statistics and the perception of merit...

Very interesting article, I've noticed the tendency for people to give more relevance to the wrong data points in all sorts of problems I've come across in my life, school and work experience..precisely as described in this writing. It is very interesting how people applying the wrong algorithm of choices to their lives, end up making the wrong choices. It would be interesting if the researchers could apply their "win score" algorithm to other complex relationships and interactions to make predictive projections. Imagine running the algorithm in a hypothetical but possible complex problem space and then letting the predicted win score for a given course of actions in that problem space determine a real world response to the problem should it ever materialize. In computer science research, scientists have been doing something very similar to solve complex problems for years called "genetic algorithms", basically they use stochastic processes on autonomous programs to allow the interactions of these programs over time to "evolve" efficient solutions to a given problem. These algorithms have been put to good use by some investors in the field of quantitative analysis, the brokers that use such tools to buy and sell stocks are called "quants" and have made consistent success using their tools. It would be interesting to see these ideas and algorithms applied to the social domain.


Genetic Algorithms

Quantative Analysis


Popular posts from this blog

On the idea of "world wide mush" resulting from "open" development models

A recent article posted in the Wall Street Journal posits that the collectivization of various types of goods or services created by the internet is long term a damaging trend for human societies.

I think that the author misses truths that have been in place that show that collectivization is not a process that started with the internet but has been with us since we started inventing things.

It seems that Mr. Lanier is not properly defining the contexts under which different problems can benefit or suffer from collectivization. He speaks in general terms of the loss of the potential for creators to extract profit from their work but misses that this is and was true of human civilization since we first picked up a rock to use as a crude hammer. New things make old things obsolete and people MUST adapt to what is displaced (be it a former human performance of that task or use of an older product) so as to main…

Highly targeted Cpg vaccine immunotherapy for a range of cancer


This will surely go down as a seminal advance in cancer therapy. It reads like magic:

So this new approach looks for the specific proteins that are associated with a given tumors resistance to attack by the body's T cells, it then adjusts those T cells to be hyper sensitive to the specific oncogenic proteins targeted. These cells become essentially The Terminator​ T cells in the specific tumor AND have the multiplied effect of traveling along the immune pathway of spreading that the cancer many have metastasized. This is huge squared because it means you can essentially use targeting one tumor to identify and eliminate distal tumors that you many not even realize exist.

This allows the therapy for treating cancer to, for the first time; end the "wack a mole" problem that has frustrated traditional shot gun methods of treatment involving radiation and chemotherapy ...which by their nature unfortunately damage parts of the body that are not cancer laden but …

Engineers versus Programmers

I have found as more non formally trained people enter the coding space, the quality of code that results varies in an interesting way.

The formalities of learning to code in a structured course at University involve often strong focus on "correctness" and efficiency in the form of big O representations for the algorithms created.

Much less focus tends to be placed on what I'll call practical programming, which is the type of code that engineers (note I didn't use "programmers" on purpose) must learn to write.

Programmers are what Universities create, students that can take a defined development environment and within in write an algorithm for computing some sequence or traversing a tree or encoding and decoding a string. Efficiency and invariant rules are guiding development missions. Execution time for creating the solution is often a week or more depending on the professor and their style of teaching code and giving out problems. This type of coding is devo…