Point Being…?

23 08 2016


All of this information and data processing.

Then what?

We’ll have all this new information about matters which:

(1) Many of us are too scared to notice because our natural propensity to do so is turned into a pathology

(2) More and more people don’t care about because it’s fatiguing to do so

(3) We are instructed not to care about

(4) The official gunned-and-badged authorities are being pressured to ignore

Naming the ook would be a lot less convoluted.

ICYMI, I wrote two days go here:

CompStat/SSL [in Chicago] a flop.  I figured it would be.  Let’s say the CPD feeds a bunch of data into a supercomputer programmed with the latest greatest analytics and tells it to spit out the names of those most likely to be involved in “gun violence” either as vics and/or perps (and note the author of this article seems to be surprised that the two groups strongly overlap).  The reason I knew it would amount to nothing is two simple words:  Then What?  CPD gets the list of 426 people most likely to succeed (and that was the precise number).  What are they supposed to do with it?  Arrest them?  If they don’t already have warrants and there’s no probable cause, that’s unconstitutional.  Social services?  What, is Jenny the white liberal do-gooder is going to get down on her knees and beg N’Deshawntavious to behave?  Good luck with that.  The cops will pay them “visits” from time to time?  First off, they’re too scared to do anything close to that, especially now with the world breathing down their necks and the Eye of Sauron/Soros gazing upon them.  But even if they did, what credibility would it have among the 426 individuals?  Even these “visits” were just strongly worded warnings, that’s all they are.

We waste so much time and money to find out things we don’t want to know anyway.


Pay For Play

11 08 2016


When I thought they’d go the other way, the local NAACP sides with Uber in their Battle of the Bulge against the MTC.

Okay, hold the sail foam.  Why do I get the feeling that Uber recently made a sizable contribution the national NAACP?

Minority Report = Reporting Minorities

9 08 2016


Notice the word that isn’t used here.

I’ve been saying here for while that big data and analytics is how we do racial profiling while giving ourselves plausible deniability, for those that think they shouldn’t be engaging in racial profiling.  The problem is that as careful as the authors of these algorithms are not to include any taboo characteristics like race (oops, I gave it away) into it, race still shows up in the results, because MUH DISPUT IMPAK.  The MUH DISPUT IMPAK crowd, so sure of itself that the algorithm writers are somehow secretly inserting code categories for race into their algorithms, are going to demand and get the removal of one category after another after another until the predictive algorithms become totally useless.

Waiting ‘Round the Bend

8 08 2016


Twenty-five years ago Saturday.  This is how it all started. Yes, it’s what the WWW was like before CSS; it’s the internet’s equivalent of a bare butt baby photo.

And it started because:

Primarily a business proposal, Berners-Lee conceived of the web as a way to prevent information loss in businesses and the scientific community.

At the time, he was working as a computer programmer at CERN’s European Organisation for Nuclear Research, where he’d seen countless amounts of data lost because of high staff turnover and poor communication. And he’d looked on as researchers wasted weeks solving problems only to find out it had been tackled years earlier.

“The problems of information loss may be particularly acute at CERN, but in this case, CERN is a model in miniature of the rest of the world in a few years time. CERN meets now some of the problems which the rest of the world will have to face soon,” said Berners-Lee.

What TBL did was pay attention and wait for an opportunity to come to him, and when it did, lots of light bulbs went off.

For almost the entirety of the last month, I think I’ve noticed a solvable problem, and an opportunity may have come to me, and a light bulb is going off in my brain.  I want to keep a lot of things under the vest, because there are a lot of maybes and ifs and hypotheticals involved, and I don’t need anyone who is better placed than myself to see my idea to realization to rip off my idea.  I will say it’s nowhere as profound as the World Wide Web, even though it will be very helpful to a lot of people, albeit people of a certain niche demographic.  And I have dropped hints here in this medium in the very recent past to what it’s all about.  I’ll be at the State Fair from Thursday until the 21st, and when I get back, I’m going to start devoting some real time and brain power into trying to figure out how to turn idea into reality.  Though, again, not to give that much away, I think that my day job, which I’ll largely be doing at the State Fair, has given me just enough of a ‘Dex and networking punch in order to make it happen.  Even though I can easily think of several lines of work that would have been better for me to be in to fit that purpose.

As an aside, the WWW is 25 years old, Countenance Blog is almost 13 years old, so it’s half as old as the internet itself.  If multicellular life on Earth is 500 million years old, it’s the equivalent of a 250 million year old continuously living multicellular organism.


Stereotypes and Stereos

8 08 2016


CIO magazine:

Think older workers struggle with technology? Think again

Conventional thinking assumes that older workers have trouble adapting to new technologies.

That notion is nothing more than a stereotype, but it’s a harmful one that could make life difficult for IT professionals over the age of 50 who are searching for new jobs. And now the results of a new survey suggest that the stereotype might not be accurate after all.

Of course it’s an inaccurate stereotype.  But the purpose of formulating it and peddling it is because there’s another stereotype, a true one, about IT pros or anyone who works for a living over the age of 50:

They expect to be paid more, and their health care costs are higher, not only theirs, but also their dependents.

The 22-year olds fresh out of school aren’t really big health care expenses, don’t have kids, and command lower salaries.

Plain words, the stereotype in question is nothing more than a cheap labor propaganda play.

A Lame Attempt At Unringing a Bell

26 07 2016


All this Democrat talk about “Putin hacked our e-mails in order to help Trump,” aside from the factual dubiousness of it, and aside from the fact that they’re screaming something to keep people from thinking about the content of those e-mails, (though from what I’ve seen, Bern victims are keeping their eyes on the ball), is also risky PR.  The more they keep saying it, the more they are verbally placing their nominee in a position that is hostile to Putin and Russia.  And I don’t think needless hostility to non-threatening foreign powers is a message that this electorate this year wants to hear.  Especially since on the other side of the ballot is someone who openly wants better relations with Putin and Russia.

Misdocumenting Ferguson

25 07 2016



Universities finding new ways to preserve history in the making – like Ferguson

Years from now, when researchers want to look back at what some are calling the modern Civil Rights movement following police killings of black people in Ferguson, Cleveland, Minneapolis and Baton Rouge, La., they could be using a tool developed in part by researchers at Washington University.

Say, for instance, a researcher wanted to study the initial reactions to Michael Brown’s killing on the day it happened. They could search through media archives and find statements from police and politicians.

But what about the people who generally don’t end up in history books — Brown’s neighbors, young people from the neighborhood and bystanders?

And what if the same researcher wanted to collect massive amounts of data — possibly millions of documents.

A simple social media search won’t produce the type of results a serious researcher desires.

Twitter, for example, has emerged as one of the most useful tools for sharing information, but it’s most useful in the present. The company restricts public access to its full services, meaning there are limits on the number and scope of past tweets that can be collected.

At Washington University, the hope is that a new tool currently under development will help researchers curate that kind of data.

The project is called DocNow, short for “Documenting the Now,” a tool that will be used to chronicle historically significant events, while also preserving blog posts, photos, comments and other digital artifacts that are in danger of being lost to history.

“We want something to ensure the voices of young people and the voices of minorities will be heard at the same volume as the police and politicians,” Desiree Jones-Smith said.


Is the NYT’s day after day for months and months obsessive coverage of a faded St. Louis suburb not narrativey enough for you?  Much less the P-D’s itself.

I guess not, such that WU researchers are going to make it easy to read the tweets of black Twitter from the time, because everyone knows black Twitter is where one goes for truth, facts, logic, reason and evidence.

I highly doubt this tool will catalog my coverage or Jim Hoft’s coverage.

Barring all this, Ron Unz commented about two weeks ago at Steve Sailer’s blog which has now been on Unz’s domain for awhile, that our coverage and opining is basically worthless for the purposes of history, because grad students twenty years from now and historians a hundred years from now won’t be searching Countenance Blog, Gateway Pundit, Steve Sailer, posts or comments, for source material.  They’re going to run straight to the “mainstream” narrative peddlers, the P-D, the NYT, and now, ook Twitter.


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