A little moisture today, dry for past 40 some days.
Saturday, July 31, 2021
Victoria, BC - 7 Day Forecast - Environment Canada
Victoria, BC - 7 Day Forecast - Environment Canada
Sunday, December 25, 2011
Economic gloom weighs down Harper's holiday cheer
Economic gloom weighs down Harper's holiday cheer
As the world economy is struggling with change, how will Canada change?
As the world economy is struggling with change, how will Canada change?
Monday, October 17, 2011
Sunday, October 9, 2011
Ozone Hole?
http://www.theozonehole.com/nasaarctic.htm What is the connection between climate change and the Ozone hole? Are we in trouble. Check out the above link to find out and educate yourself.
Monday, March 28, 2011
False Positve?
Fire Alarm went off at around 3:30 AM. Is this a false positve? Wiki says, Type I error
Type I error, also known as an "error of the first kind", an α error, or a "false positive": the error of rejecting a null hypothesis when it is actually true. Plainly speaking, it occurs when we are observing a difference when in truth there is none, thus indicating a test of poor specificity. An example of this would be if a test shows that a woman is pregnant when in reality she is not, or telling a patient he is sick when in fact he is not. Type I error can be viewed as the error of excessive credulity[1] or even hallucination. In terms of folk tales, an investigator may be "crying wolf" (setting a false alarm) without knowing it.
In other words, a Type I error means that a positive inference is actually false.
Lots of firemen came to check it out. And an ambulance. A lot of my neighbours came down and waited for the 'all clear'. I went to the all night convenience store and bought breakfast. I talked to a night manager about his job. And I got a power bar and some hot chocolate. Buy this time it was all over and here I am. It is terrible waking up to a 'false alarm'. But I am making the best of it.
Type I error, also known as an "error of the first kind", an α error, or a "false positive": the error of rejecting a null hypothesis when it is actually true. Plainly speaking, it occurs when we are observing a difference when in truth there is none, thus indicating a test of poor specificity. An example of this would be if a test shows that a woman is pregnant when in reality she is not, or telling a patient he is sick when in fact he is not. Type I error can be viewed as the error of excessive credulity[1] or even hallucination. In terms of folk tales, an investigator may be "crying wolf" (setting a false alarm) without knowing it.
In other words, a Type I error means that a positive inference is actually false.
Lots of firemen came to check it out. And an ambulance. A lot of my neighbours came down and waited for the 'all clear'. I went to the all night convenience store and bought breakfast. I talked to a night manager about his job. And I got a power bar and some hot chocolate. Buy this time it was all over and here I am. It is terrible waking up to a 'false alarm'. But I am making the best of it.
Monday, February 7, 2011
Miss Abella Green
I call my Peace Lily Abella. I received her as a gift from my mother. It's kinda fun to talk to her. My mother is not someone to ignore and neither is my plant. I try to water her and keep her happy! Mom's are a little more maintenance. But we all know that. Oh, Abella.
Sunday, September 26, 2010
Opinion: Bill C-32 heads to committee in a volatile political climate | The Wire Report
Opinion: Bill C-32 heads to committee in a volatile political climate | The Wire Report
I'm interested in bill C-32 because it may make computer use more difficult. As a writer, I think ACTA and this bill are connected to issues that may affect my ability to negotiate a best contract for my work. And I like to stay aware of factors that make my work difficult to do.
I'm interested in bill C-32 because it may make computer use more difficult. As a writer, I think ACTA and this bill are connected to issues that may affect my ability to negotiate a best contract for my work. And I like to stay aware of factors that make my work difficult to do.
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