Let's see... apparently, putting in a bunch of tags of things that interest me is going to make it easier for other people who share those interests to run across me.
Alright, then. Let's see...
#literature
#pratchett
#boardgames
#programming
#ai
#sciencefiction
#science
#machinelearning
#fantasy
#mathematics
...that should be enough for the moment, I guess.
re: uspol, election prediction, not positive tho
re: uspol, election prediction, not positive tho
How close a state is to call doesnt really have to do with its voting patterns. We call that a forecast. We determine if a state is close to call or not based on the percentage of votes in, not the tendency for the state to vote one way or the other.
re: uspol, election prediction, not positive tho
Hard to say, only one battleground state has enough in to call. the problem is trump would need to win every battleground state, every state that was called as "likely" for him and take a few likely democrat states as well. However so far of all the states with enough votes in to call it trump hasnt been able to take a single battleground state let alone a democrat state yet.. BUT he is in the lead in many of the states that arent able to be called yet. So he may still pull it off.
uspol, election prediction, not positive tho
As of right now biden is ahead of trump by 91 electoral votes (209 vs 118) yes Trump has a significant lead in popular votes with a lead of 2 million over biden (46 M vs 48 M).
Hard to say how things will wind up, but at the very least this shows it is entirely possible for the democrats to beat out the republicans with the electorate and not the popular. The electoral college does **not** favor republicans, though it will in some elections and not in others.
So. This will be my first mastodon post.
Whatever else I do, this will always be at the top of my timeline. However things change.
I should probably make it somehow interesting, or timelessly relevant.
But there is such a thing as overthinking things. A poor first post is very ignorable, and I don't want analysis paralysis to prevent me from ever posting anything at all.
So... overthought first post done, I guess.
...it's certainly an approach worth looking at.
I've only looked at the overview of the proof, but there is one thing that occurs to me; and tht is that, when using the distance argument (i.e. showing that numbers have a common factor with each other, and that factor is not present in the number sought as a sum) it is *not* required that *all* the terms have the same factor.
To illustrate this, let us assume a set of N numbers, all of which are multiples of three (some may be negative). To this set of numbers, let us add the number 1, which is not a multiple of three. We now have a set of N+1 numbers, all but one of which are multiples of three; and there is no subset of these numbers which can possibly add up to 20. So we can use distance for identification of multiple subset sums even when some elements of the sum do not share a common factor.
If that common factor is 3, then we can have at most one number which does not share the common factor. However, for larger common factors, the number that we can have which do not share that factor becomes larger; with a common factor of 5, we can have at least three numbers in the set which do not share the common factor and yet still leave certain totals impossible to reach.
I'm not entirely sure how this applies to the subset problem in a general sense.
uspol, election prediction, not positive tho
@cwebber Honestly I expect the opposite. So far he has been ahead on the popular vote, but he hasnt flipped a single state that he has needed to win, so will likely still loose the electoral which the dems are ahead on despite the strong dem states not getting called yet.
I do wonder though, the people who are against the electoral college, if trump wins the popular and looses the electorate how many of them do you think will still be against the electoral college if that happens?
@Theverytechnologypony Why would I ask you what your real name is? Dont worry, I wont.
Jeffrey Phillips Freeman
Innovator & Entrepreneur in Machine Learning, Evolutionary Computing & Big Data. Avid SCUBA diver, Open-source developer, HAM radio operator, astrophotographer, and anything nerdy.
Born and raised in Philadelphia, PA, USA, currently living in Utrecht, Netherlands, USA, and Thailand. Was also living in Israel, but left.
Pronouns: Sir / Mister
(Above pronouns are not intended to mock, i will respect any persons pronouns and only wish pronouns to show respect be used with me as well. These are called neopronouns, see an example of the word "frog" used as a neopronoun here: http://tinyurl.com/44hhej89 )
A proud member of the Penobscot Native American tribe, as well as a Mayflower passenger descendant. I sometimes post about my genealogical history.
My stance on various issues:
Education: Free to PhD, tax paid
Abortion: Protected, tax paid, limited time-frame
Welfare: Yes, no one should starve
UBI: No, use welfare
Racism: is real
Guns: Shall not be infringed
LGBT+/minorities: Support
Pronouns: Will respect
Trump: Moron, evil
Biden: Senile, racist
Police: ACAB
Drugs: Fully legal, no prescriptions needed
GPG/PGP Fingerprint: 8B23 64CD 2403 6DCB 7531 01D0 052D DA8E 0506 CBCE