My work inbox on 5/24/2013. I have 163 unique rules that sort and prioritize my email for consumption. On average I spend 4-5 hours a day reading, writing, and considering email.  in the last week I’ve received 1,118 emails, with 558 unread. The unread messages are largely reports, research, or news that has been filtered for reading later. The remaining 560 email require action on my part and have been sorted and coded based on priority as defined by my email algorithm. I use lots of criteria in my sorting but the rules are based on my business’ goals; emails about strategic projects get highlighted and surfaced while lesser requests get allocated to times reserved in my day for processing through low-level requests (usually from 9-11pm or 6-9am  2 or 3 times a week depending on social commitments). Even with a comprehensive system that I’m regularly improving, about 25% of my email goes unprocessed due to low-volume senders (people/topics I’ve gotten so few emails about they haven’t warranted a rule), or in other words the long-tail makes up 25% of my work which coincidentally seems like a reasonable allocation of my time.

My work inbox on 5/24/2013. I have 163 unique rules that sort and prioritize my email for consumption. On average I spend 4-5 hours a day reading, writing, and considering email.  in the last week I’ve received 1,118 emails, with 558 unread. The unread messages are largely reports, research, or news that has been filtered for reading later. The remaining 560 email require action on my part and have been sorted and coded based on priority as defined by my email algorithm. I use lots of criteria in my sorting but the rules are based on my business’ goals; emails about strategic projects get highlighted and surfaced while lesser requests get allocated to times reserved in my day for processing through low-level requests (usually from 9-11pm or 6-9am  2 or 3 times a week depending on social commitments). Even with a comprehensive system that I’m regularly improving, about 25% of my email goes unprocessed due to low-volume senders (people/topics I’ve gotten so few emails about they haven’t warranted a rule), or in other words the long-tail makes up 25% of my work which coincidentally seems like a reasonable allocation of my time.

Tags: work

caterpillarcowboy:

parislemon:

Amazon’s new downtown Seattle offices will be biospheres. Awesome. Bio-Dome awesome.

Woah.

Can’t wait.

Bored to Death / white wine and weed (at Saxon + Parole)

Bored to Death / white wine and weed (at Saxon + Parole)

New Yorker

New Yorker

Kevin (at Saxon + Parole)

Kevin (at Saxon + Parole)

Hello Central Park.  (at Le Parker Méridien New York)

Hello Central Park. (at Le Parker Méridien New York)

Celebrating Mallory’s new show.

Celebrating Mallory’s new show.

Ellery and me.

Ellery and me.

Fond memories.  (at Scholastic Inc.)

Fond memories. (at Scholastic Inc.)

New routine: working at the coffee shop before going to work. Somehow I don’t mind.  (at Café Presse)

New routine: working at the coffee shop before going to work. Somehow I don’t mind. (at Café Presse)

Tonight’s Playlist: March 2013

For the last little while I’ve been making playlists each month consisting of the songs that were of the moment. Tonight I’m listening to March 2013 and it’s one of my favorites.

  1. Tennis - It All Feels the Same
  2. Yo La Tengo - Damage
  3. Smokey Robinson - The Tracks of My Tears
  4. Shuggie Otis - Baby, I Needed You
  5. Edward Sharpe - Om Nashi Me
  6. Sam Cooke - Wonderful World
  7. Bob Marley - Three Little Birds
  8. Shuggie Otis - Purple
  9. Mazzy Star - Give You My Lovin
  10. La Sera - It’s Over Now
  11. The Cave Singers - Seeds of Night
  12. Edward Sharpe - Come In Please
  13. Bruce Springsteen - Dancing in the Dark
Tags: music
"Our age elevates the precision-tooled power of the algorithm over flawed human judgment. From web search to marketing and stock-trading, and even education and policing, the power of computers that crunch data according to complex sets of if-then rules is promised to make our lives better in every way. Automated retailers will tell you which book you want to read next; dating websites will compute your perfect life-partner; self-driving cars will reduce accidents; crime will be predicted and prevented algorithmically. If only we minimise the input of messy human minds, we can all have better decisions made for us. So runs the hard sell of our current algorithm fetish."

Steven Poole – On algorithms (via infoneer-pulse)

Amazon had the humans compete against the algorithms for who was better merchandising. The algorithms won. Sorry but not sorry.

(via caterpillarcowboy)

True story.

(via caterpillarcowboy)

How I’ll remember feeling on the trip when it’s just a memory | 2013

Tags: costa rica