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richtoscano

  1. @indianaexile did you happen to find out whether that zip code data is online? I want to clarify in my blog. thanx.
  2. @indianaexile tho on second thought, print version would be kind of painful to get into a spreadsheet, do y'all update it online anywhere?
  3. @indianaexile excellent...
  4. @indianaexile Don't have the treemeat edition on hand, I'm hoping that expanded table included data for all individual zips? Thx again...
  5. FYI, I can eat my own weight in mashed potatoes.
  6. @indianaexile That would be great, thanks! Data treasure trove in question is found here: http://bit.ly/6IlCsL
  7. @indianaexile But since you no longer publish that data, I guess I'm not a reader any more.
  8. @indianaexile To be accurate, UT's data was key for one particular chart I updated every few months. As I made clear in the article.
  9. Our latest valuation graphs -- after a brief visit to fair value, US stock market comfortably overpriced once again: http://bit.ly/4pHXQp
  10. @ErinCronican Thanks Erin!!!
  11. Is there anyone whose earholes are gaping enough to fit the iPhone earbuds in them?
  12. Monthly San Diego housing data rodeo: http://bit.ly/17t2KB
  13. @rdotinga @drolland Listened to the broadcast; I think she meant "Nobody (among the people working on the forecast)". My take anyway.
  14. @GregorMacdonald What's the thought process behind that timeline?
  15. Historical home sale dollar-volume in San Diego... http://bit.ly/exPYg
  16. @benboychuk @rdotinga yes, what ben said.
  17. @rdotinga That doesn't even really make sense.
  18. Just went indoor rock-climbing for the first time. Unable to type this sentence without assistance.
  19. @indianaexile @vosdscott It's not "more accurate" to use SA stats when the whole point of noting them is to compare them to NSA stats.
  20. @indianaexile @vosdscott Numbers in my story are correct per http://bit.ly/40WR57 -SD #s not seasonally adjusted, comparing w same for US/CA