[robson]

Good summary. Regarding #1, it will be very interesting to see what factors ultimately “force” the gov to do this. Needless to say, if it is presumed that this must happen at some point, then the conditions that would warrant this (national economy, home prices, stock market levels) would be a bit worse than they are today.

Regarding #3, are you simply tracking NODs as a signal of future foreclosures, or employing some other method? At what level of foreclosures would you consider a bottom?

[robson]

Good summary. Regarding #1, it will be very interesting to see what factors ultimately “force” the gov to do this. Needless to say, if it is presumed that this must happen at some point, then the conditions that would warrant this (national economy, home prices, stock market levels) would be a bit worse than they are today.

Regarding #3, are you simply tracking NODs as a signal of future foreclosures, or employing some other method? At what level of foreclosures would you consider a bottom?

[robson]

Good summary. Regarding #1, it will be very interesting to see what factors ultimately “force” the gov to do this. Needless to say, if it is presumed that this must happen at some point, then the conditions that would warrant this (national economy, home prices, stock market levels) would be a bit worse than they are today.

Regarding #3, are you simply tracking NODs as a signal of future foreclosures, or employing some other method? At what level of foreclosures would you consider a bottom?

[robson]

Good summary. Regarding #1, it will be very interesting to see what factors ultimately “force” the gov to do this. Needless to say, if it is presumed that this must happen at some point, then the conditions that would warrant this (national economy, home prices, stock market levels) would be a bit worse than they are today.

Regarding #3, are you simply tracking NODs as a signal of future foreclosures, or employing some other method? At what level of foreclosures would you consider a bottom?

[robson]

Good summary. Regarding #1, it will be very interesting to see what factors ultimately “force” the gov to do this. Needless to say, if it is presumed that this must happen at some point, then the conditions that would warrant this (national economy, home prices, stock market levels) would be a bit worse than they are today.

Regarding #3, are you simply tracking NODs as a signal of future foreclosures, or employing some other method? At what level of foreclosures would you consider a bottom?

[robson]

I will concede that my post was assuming that some fraction of the 1500 Kcal expenditure was devoted to the working of muscle. Most people walk, which uses a certain amount of muscle.
Any amount of muscle use would make the statement true. Changing the action from walking to strength training simply amplifies the effect. I completely agree that strength training is an excellent idea for everyone, even/especially little old ladies.

[robson]

I will concede that my post was assuming that some fraction of the 1500 Kcal expenditure was devoted to the working of muscle. Most people walk, which uses a certain amount of muscle.
Any amount of muscle use would make the statement true. Changing the action from walking to strength training simply amplifies the effect. I completely agree that strength training is an excellent idea for everyone, even/especially little old ladies.

[robson]

I will concede that my post was assuming that some fraction of the 1500 Kcal expenditure was devoted to the working of muscle. Most people walk, which uses a certain amount of muscle.
Any amount of muscle use would make the statement true. Changing the action from walking to strength training simply amplifies the effect. I completely agree that strength training is an excellent idea for everyone, even/especially little old ladies.

[robson]

I will concede that my post was assuming that some fraction of the 1500 Kcal expenditure was devoted to the working of muscle. Most people walk, which uses a certain amount of muscle.
Any amount of muscle use would make the statement true. Changing the action from walking to strength training simply amplifies the effect. I completely agree that strength training is an excellent idea for everyone, even/especially little old ladies.

[robson]

I will concede that my post was assuming that some fraction of the 1500 Kcal expenditure was devoted to the working of muscle. Most people walk, which uses a certain amount of muscle.
Any amount of muscle use would make the statement true. Changing the action from walking to strength training simply amplifies the effect. I completely agree that strength training is an excellent idea for everyone, even/especially little old ladies.

[robson]

Median time spent commuting to work increased from 24.4 minutes in 2000 to 25.0 minutes in 2006, for the nation. You might guess SD is different but it is not. In 2006 the median commute time was 24.9 minutes.
http://factfinder.census.gov
It’s true that weight gain/loss is completely dependent on the difference of calories in vs. out. I would add though, that what type of calories your “in” consists of will partly determine whether it is muscle or fat you will lose/gain. If you ate 1000 calories of lard a day while burning 1500, you would be more likely to lose muscle than fat. If you ate 1000 calories of tuna while burning 1500, you’d be more likely to lose fat.

[robson]

Median time spent commuting to work increased from 24.4 minutes in 2000 to 25.0 minutes in 2006, for the nation. You might guess SD is different but it is not. In 2006 the median commute time was 24.9 minutes.
http://factfinder.census.gov
It’s true that weight gain/loss is completely dependent on the difference of calories in vs. out. I would add though, that what type of calories your “in” consists of will partly determine whether it is muscle or fat you will lose/gain. If you ate 1000 calories of lard a day while burning 1500, you would be more likely to lose muscle than fat. If you ate 1000 calories of tuna while burning 1500, you’d be more likely to lose fat.

[robson]

Median time spent commuting to work increased from 24.4 minutes in 2000 to 25.0 minutes in 2006, for the nation. You might guess SD is different but it is not. In 2006 the median commute time was 24.9 minutes.
http://factfinder.census.gov
It’s true that weight gain/loss is completely dependent on the difference of calories in vs. out. I would add though, that what type of calories your “in” consists of will partly determine whether it is muscle or fat you will lose/gain. If you ate 1000 calories of lard a day while burning 1500, you would be more likely to lose muscle than fat. If you ate 1000 calories of tuna while burning 1500, you’d be more likely to lose fat.

[robson]

Median time spent commuting to work increased from 24.4 minutes in 2000 to 25.0 minutes in 2006, for the nation. You might guess SD is different but it is not. In 2006 the median commute time was 24.9 minutes.
http://factfinder.census.gov
It’s true that weight gain/loss is completely dependent on the difference of calories in vs. out. I would add though, that what type of calories your “in” consists of will partly determine whether it is muscle or fat you will lose/gain. If you ate 1000 calories of lard a day while burning 1500, you would be more likely to lose muscle than fat. If you ate 1000 calories of tuna while burning 1500, you’d be more likely to lose fat.

[robson]

Median time spent commuting to work increased from 24.4 minutes in 2000 to 25.0 minutes in 2006, for the nation. You might guess SD is different but it is not. In 2006 the median commute time was 24.9 minutes.
http://factfinder.census.gov
It’s true that weight gain/loss is completely dependent on the difference of calories in vs. out. I would add though, that what type of calories your “in” consists of will partly determine whether it is muscle or fat you will lose/gain. If you ate 1000 calories of lard a day while burning 1500, you would be more likely to lose muscle than fat. If you ate 1000 calories of tuna while burning 1500, you’d be more likely to lose fat.

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