Information overload – some personal actions

I attended a conference, Overloaded 2012, last week in San Francisco. Here’s a summary from one of the directors of the Information Overload Research Group (IORG). IORG is small, but addressing deep issues of how constant information deluges flows affect our working and thinking.
My “immediate action” conclusion was to start using #hashtags in my email. Examples: #invite, #meet #teach (for messages to colleagues about teaching). Also to provide longer subject lines in my emails – “6 words” is one suggestion.
And, I’ll take a look at a book by Jonathan Spira, an IORG director, who I’ve talked with but never met. Overload! book by Jonathan Spira

Why LightSquared failed: It was science, not politics

Why LightSquared failed: It was science, not politics.

Good summary of the battle between LightSquared, and GPS users/makers. On the political/interest group side, it shows that established industries have ability to protect their regulatory interests, even against a well-financed lobbying campaign. (LightSquared) Perhaps it also shows that the FCC is also able to make technically appropriate decisions, at least when the two sides are approximately balanced in political power.

 
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Roger Bohn – Google Scholar Citations

Roger Bohn – Google Scholar Citations.

Google does its usual amazing job of organizing information. They have a “scholar” page for every academic, with their best guess of all the papers written, and how many times they were cited. In some cases, they found web-accessible versions of academic articles  that I was not aware of.

Rather than trying to keep my own list up to date, I may come to rely on Google to do it for me.

Classic definition of recession no longer useful

We now need 2 separate concepts of recession. Time for employment to return to pre-recession

“Total GDP recession” is the conventional one. “Actual people recession” is the one that matters to almost everyone. The rationale is that all of the “growth” after the 2001 recession, and this one as well, is in the upper few percent of the income distribution, or in corporate profits. Median income, for example, has been approximately stagnant or declining for a decade. Much more important to “the 99%” is what happens to their share of national income – which is much slower to recover. (If you adjust for increasing health care costs, then median income is doing even worse – but that’s another story.) 

(This interpretation is my own. I got the graph link from Andy McAfee

 

Fiscal FactCheck: payroll tax = income tax!

Fiscal FactCheck.

Astonishing fact is buried here: Payroll taxes (social security, medicare etc) have almost caught up with federal income tax. Payroll taxes are 40% of federal receipts in 2010, while personal income tax was 41.5%.

Payroll taxes tend to be quite regressive — they start at about 10% of ALL payroll income for your first dollar, and fall to about 2.3% above $100,000 or so. So this means we have a bizarre combination of progressive and regressive tax rates. And it’s more evidence of how high health care costs are dragging everything down (in this case, via Medicare costs).

By the way, many “conservatives” have suggested a “flat income tax”  e.g. 17%. As far as I can tell, this does NOT include payroll taxes. So it would not be flat at all – it would be highly regressive. Another factor is that richer people earn more from capital gains and other sources not counted as income. I’d love to see someone lay out the numbers carefully on this. Some information is in this report by Congressional Research Services. 

Short-attention spans; does anyone still THINK?

I spoke yesterday at The Economist conference, Information: Making Sense of the Deluge. Very interesting speakers, I was excited to go. The stated and sincere intent was to get a  discussion going, including the audience. But the format was like watching TV news (and I don’t mean PBS): toss someone on stage, let them roll a 6 minute video, answer a few questions, and on to the next. This format was good for Twitter-bytes, but not for thinking or reflecting or building ideas.

One of the topics was Nick Carr on how “pseudo-multitasking” is hurting our brains. The conference itself seemed to follow the same format. This morning, for example, the schedule for the first 50 minutes has 7 different people on stage, in four sessions:

Act II:   Bottom up: Information for people
8.35 am
Flash of genius: How to translate the internet
Luis von Ahn, A. Nico Habermann, Associate Professor, Carnegie Mellon University
8.45 am
Flash of genius: Turning information into knowledge
Amit Singhal, Engineer, Google
8.55 am
Data exhaust
The intersection of search and big data
Luc Barthelet, Executive Director, Wolfram Alpha
Arkady Borkovsky, Chief Technology Officer, Yandex Labs
Moderator: Kenneth Cukier, Business Correspondent, The Economist
9.15 am
Flash of genius: The information entrepreneur
Scott Yara,Vice-president, Products and Co-founder, Greenplum
The audience is finding plenty to Twitter about. But 10 minutes is only time for a sales pitch; it is not enough time to discuss the weaknesses as well as the strengths of an idea.
On the plus side, this means there’s still a need for academics who can sit in an empty room and work on one thing for an hour. Of course to accomplish that I have to discipline myself not to check email…..
A  friend who was there told me he “never follows Twitter.” It turns out that  he means  he keeps a Twitter feed in the corner of his screen 100% of the time; he just does not explicitly devote time to reading it! Talk about distractions…