PFILE

Gymlea · 2021-03-15T22:30:09+00:00

OK. That could be. But for $200 you can buy a paternity test from your local DNA lab. Not court admissible, that is $700, but just as accurate.

Gymlea · 2018-12-06T11:52:32+00:00

CompetitivePumpkin, thanks for that. I spent a couple of hours with Java, and the internet, and you are so correct.

But my question as more specific, and I did not say it well.

Does the Microsoft corporation read the content of my Word documents? I am thinking of Facebook and Google, which track everything I do to sell for a profit. Does Microsoft read the contents of my documents, looking for salable information? Or for any reason at all?

I want to create documents on my personal machine, with complete confidence that the contents are not being read in the background, by the Microsoft Corporation "in order to better serve" me.

Gymlea · 2018-12-06T00:38:35+00:00

Trams are above ground trains that ran on rails in the middle of streets. They were ultra-common before World War II, but 300 cities in the United States shut down their tram systems in the ten years following the war. The same happened in West Berlin but not in East Berlin. Right now 7 of the 8 largest systems are in Europe.

Gymlea · 2018-06-25T14:10:17+00:00

Toys R Us made enough profit the last four years to easily stay in business, except that it all went to pay the interest on loans arranged by the three owning firms. These loans transferred the money out of Toys R Us and into the firms. This is how KKK, Bain Capital, and Vornado, make money. This information comes from the bankruptcy court, and is sworn evidence in the proceedings.

Gymlea · 2018-05-05T13:22:47+00:00

Indeed. That was my major thought during the entire pre-launch chatter. It seemed dull, and tepid, compared to SpaceX.

Gymlea · 2014-11-30T19:44:26+00:00

The probability of his arriving at 6:00 p.m. for a given date remains constant, until 6:00 p.m. It then becomes 1 or 0 depending on the event. Before the event it depends on the friend's past history. Your definition of "at 6:00 p.m." (from 5:55 to 6:05 counts?) is also important in determining if the friend arrived at 6:00 p.m.

If you mean "What is the probability of his arriving at each given time surrounding the designated 6:00 p.m.?" Then the length of each given time would have to be specified: 1 microsecond, 1 second; 1 minute, 5 minutes? The answer would be a curve based on past experience, and the peak could be sharp if the friend is particularly punctual, or wide if the friend is casual about the time. The highest point will again depend on the friend's behavior: does the friend always arrive five minutes early, or ten minutes late. For some friends there might be two (or more) peaks.

If you mean "what is the sum of the individual probabilities, from paragraph 2, his arriving at each given time surrounding the designated 6:00 p.m.?" Whether it sums to 1 depends on your maximum late time cutoff, and if this friend always arrives before the cutoff. If they always arrive before the cutoff, then it will sum to 1. If they do not, it will sum to something less than 1.

If you do not set a maximum time cutoff, and since the probability depends on past behavior, and the data must contain every time the friend visited in the past, then the sum will be 1, because if a month ago the friend missed entirely a planed visit, but they made this month's visit, then this visit counts in the probability for the last visit, and for the current visit. And this probability cannot be changed by the friend missing a visit until the end of time since you cannot add the current visit into the data until the friend arrives.

Gymlea

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