I came across an article on whether or not closing credit card accounts lowers your credit score, which included this bizarre observation:

The addition of new credit card debt also increases your credit utilization, or debt-to-credit limit ratio, on revolving accounts such as credit cards. For FICO scores, this ratio is part of a factor worth 30 percent of your score.

You've paid off your store card debt, which should help to lower your utilization. According to Barry Paperno, consumer affairs manager for FICO, "in addition to making payments on time each month, the No. 1 concern for people with several new store cards should be ensuring that the amounts owed on these cards are as low as possible."

He says the best-case scenario is for store cardholders to pay off their balances quickly to reduce their utilization, which is figured for each card and across all of their cards.

Now, if this were really true -- that is to say, that the marginal utilization of each new card constitutes such a major piece of your credit score that a department store account could hurt you -- then, conversely, you must be able to raise your credit score by opening as many cards as possible and not charging anything to them! These new cards would have utilization scores of zero, presumably moving your credit score as far up as the department store cards drag it down. I think we all know that isn't the case -- though it may have more to do with other variables besides utilization than some nonlinear utilization relationship.

The article isn't completely wrong, however, because the department store cards it refers to 1) typically have an immediate balance and 2) have low credit limits, resulting in high instantaneous utilization. The smart credit card arbitrageur will pay it off the next day in full, capturing the discount and (if you believe it exists) the low-utilization credit bonus.

The most important thing to remember is that missing a payment wrecks your score. Anything else that could potentially lower it, like opening 100 department store cards, has a negligible impact by comparison. Do not go into default and your score will be fine.

This post is not meant to be financial advice. It is, however, common sense.

{ 0 comments }

High tech's hottest calling

January 26, 2012 in Data,Math

The NYT's Bits blog has a new post on "high tech’s hottest calling:" statistical analysis. The article isn't just about the jobs market, focusing as well on students' increased demand for statistics classes at top universities.

The opening anecdote will be familiar to anyone in the field:

“Most of my life I went to parties and heard a little groan when people heard what I did,” says Robert Tibshirani, a statistics professor at Stanford University. “Now they’re all excited to meet me.”

But the observation that follows it is quite serious:

Computing has become cheap and available enough to process any number of formulas.... What no one has are enough people to figure out the valuable patterns that lie inside the data.

{ 0 comments }

Mashable has a new standard for fact-checking rumors:

...While you should look at all of this information with a skeptical eye, a raised eyebrow and folded arms, the rumor sounds slightly more credible than the junk typically spewed out from Taiwan industry pub DigiTimes. For starters, reviewing various prototypes before deciding on the final production model is a standard practice in manufacturing, unlike many rumors that imply certainty about what something will look like.

Also, the overall vagueness of the rumor (no precise screen measurement, no photos, nothing about the insides) at least gives an appearance of authenticity. After all, if you were just going to make something up, why not be more detailed? There’s certainly no shortage of potential features to choose from.

To answer that last question: it's because desperate sites will apparently publish it anyway.

(via L)

{ 0 comments }

"Big Data" is meaningless

January 20, 2012 in Data

Roger Ehrenberg gets it:

Every so often a term becomes so beloved by media that it moves from “instructive” to “hackneyed” to “worthless,” and Big Data is one of those terms....

Every business generates data, but it is a far smaller number that view data as a strategic asset that is actively managed for the benefit of their customers and the bottom line....

Whether the data is big, small, fast, slow, structured or unstructured, everything that is going on now is attempting to do one thing: making data smart and actionable.

[Emphasis his.]

{ 0 comments }

The Internet is on strike

January 18, 2012 in Internet

I'm very impressed by the broad reach of today's internet blackout. For those living under a rock, the logo above belongs to Google; the search giant probably reasoned that a full-scale shut down a la Wikipedia or Reddit (which got the blackout ball rolling in the first place) would be too disruptive. Just think how all the kids with research papers due tomorrow must feel!

(For future visitors: read about the SOPA/PIPA strike here.)

{ 0 comments }

Here's a fascinating essay by Mike Kaplan, who oversaw marketing for the movies 2001 and A Clockwork Orange, which explains how Stanley Kubrick became one of the first commercial data scientists. In 1971, as Kaplan and Kubrick were trying to determine which theaters should show the new movie, they realized that Variety published box office totals for individual cinemas in every city. The data would potentially reveal people's preferences for different theaters, if only the two men could come up with a way to access it. In the days of manual databases, that meant spending six weeks collecting volumes of carefully curated notebooks to tally 18 months of back data. The payoff, however, was enormous: the studio was able to show the new film exclusively in theaters with the perfect mix of margins and demographics.

Rumors even presaged today's computer-driven industry:

Word quickly spread that Stanley had a computerized system to track theaters and grosses based on technical information he had acquired while developing HAL 9000, the all-knowing computer in 2001. For months these stories persisted in the trades as the roster of Clockwork cinemas was refined. They were neither confirmed nor denied.

(via Daring Fireball)

{ 0 comments }

Have your math and eat it, too

January 11, 2012 in Math

Here are two of my favorite things, unexpectedly combined:

This is from the slideshow accompanying a brief NYT article on an unusual book called Pasta by Design. The book is about, yes, modeling pasta in Mathematica.

(via FlowingData)

{ 0 comments }

Call 'em like you see 'em

January 5, 2012 in Data

Anderson Cooper, on air, referring to CNN's nonsensical "Social Media Screen":

The social media screen, again with the social media screen. My Lord. This is the third hit, I still don't understand what the hell this thing shows!

It's a shame that it takes a 3am broadcast for someone to let the emperor know his clothes are missing.

(via The Huffington Post)

{ 0 comments }

...and not a drop of value

January 5, 2012 in Data

Bryce Roberts gets it:

Here’s the thing. Data, big, medium or small, has no value in and of itself. The value of data is unlocked through context and presentation.

{ 0 comments }

Fun with servers

December 5, 2011 in General

I apologize to all my readers for the outage we experienced this weekend. I had to do some server surgery including a very frightening "erase everything" operation that I hoped -- but couldn't be entirely sure -- would be reversed with a TGR backup. This was all compounded by a bit of travelling that left me unable to address the issues until this morning.

The good news is, we seem to be up and running again. I'm sorry again for the inconvenience.

{ 0 comments }