WhoWhatWhereWhenHowY t1_jeeq466 wrote

They say more than half came from households with more than $200,000 in interest and dividend income. I would then assume that the other half came from those with less than $200,000 in interest/dividend income. That's where my problem would be with it.

I don't think full repeal is the best option here but I do think someone retiring expecting 40k a year from investments shouldn't need to pay additional tax.


WhoWhatWhereWhenHowY t1_jam50en wrote

It's not that hard to imagine. Obese can be a 30lb difference from a healthy weight. That's basically some people's pack weight on extended trips. I have done the 48 and the AT. And it's not about strength and energy like obese is an option, good is delicious and generally it's more of a time issue.


WhoWhatWhereWhenHowY t1_j7fews0 wrote

Was this an investment property you purchased or a primary residence?

If it was purely for investment that market is very hot and I could see the argument that an ETF would be a better route but you need a place to stay and by purchasing a home you are locking in your "rent" price long term. Also real estate isn't like stock. You don't get a ticker update every 15 minutes with an approximate market price.


WhoWhatWhereWhenHowY t1_j72l009 wrote

That is very interesting. I have to say one thing that has always blown my mind with meteorology is how much air doesn't like to mix and can have huge velocity gradients that I wouldn't expect from fluids. How a tornado holds itself together is just magic to me.


WhoWhatWhereWhenHowY t1_izelwfy wrote

Good ol' supply demand. Based off census data in1970 Berlin had a population of 15000. Today it's 10000. That means a whole lot of surplus housing.

The hard part is when housing demand drops like that, in order to maintain the same services the tax rate goes up as property values drop.

Cheap property also means not many want to drop 50k on renovations when they may only add 25k worth of value. This leads to things beginning to look a bit old.

I grew up in Coos. I loved it up there but it is remote. And cold. Very cold.

If you enjoy the area and want to buy be VERY cautious about renting. You can easily get burned by a tenant and they can just move on to the next landlord because housing is a lot more plentiful.

If you like cheap housing though and can work remote then it's not a bad option. Just do some due diligence and you will be good.


WhoWhatWhereWhenHowY t1_ivqx5na wrote

That's where polling ahead of time/exit polling is likely used. In our governor race Sununu had such a large lead in the polls that in reality even waiting for 1 percent is kind of a formality. Again, polls can be incorrect but the likelihood of them being wrong by 10+ percent is unlikely.

This is also why different organizations call things at different times; they each have different standards to when they feel confident enough to call the election.


WhoWhatWhereWhenHowY t1_ivn1l2i wrote

It's an estimate. There is a statistical chance they are wrong. Each network/organization likely has an error they are willing to tolerate when they make a call. Say 95 percent certainty.

Now let's pretend we live in a fictitious nation composed of two states. This country also has the same two parties we have. Let's call the first state Texas. 80 percent of the people there have historically voted Republican. 20 percent Democrat. State two is just the opposite. We can call state 2 California where 80 percent vote D and 20 percent R.

Now after ballots are cast California votes start to get counted and with only 50 percent of the California vote (25 percent of nation vote) counted, an upset has occurred and all 40 percent have voted Republican. Now without even 1 single vote counted in Texas you can feel comfortable with calling the election for the Republicans because you know it is unlikely Texas would swing.

Now substitute states for towns, add in a lot more towns and various other certainties, tweak models and BAM. You can statistically predict the outcome of an election with very limited data.