.
Wednesday, June 07, 2006
Saturday, June 03, 2006
How many murders go unsolved each year in the United States?
DNA. Carpet fibers. Fingerprints. Given the wealth of forensic information, you'd think police would solve each and every murder. Unfortunately, you'd be wrong. According to the Federal Bureau of Investigation, in 2004, 62.6% of homicides were "cleared," leaving a substantial portion of murder cases unresolved.
The FBI's official site says a crime is cleared when either an arrest is made or "elements beyond the control of law enforcement prevent the agency from arresting and formally charging the offender, by exceptional means." We assume this refers to rare cases when, for example, suspects die before they can be charged.
In 2004, there were 16,137 cases of murder or nonnegligent manslaughter in the United States. Because 37.4% of these cases went uncleared, around 6,035 people "got away with murder" that year. Of course, this assumes each offender murdered only one person, which very likely isn't true, but seeing as the cases are unsolved, this is our best guess. Anyway, while that number is disturbingly high, there is some good news. From 2003 to 2004, the number of murders fell 2.4% and violent crime in general is on a downswing.
So there you have it folks.... Somehow the 2.4% decrease doesn't seem that big, but I suppose it's better than a 2.4% increase.
The FBI's official site says a crime is cleared when either an arrest is made or "elements beyond the control of law enforcement prevent the agency from arresting and formally charging the offender, by exceptional means." We assume this refers to rare cases when, for example, suspects die before they can be charged.
In 2004, there were 16,137 cases of murder or nonnegligent manslaughter in the United States. Because 37.4% of these cases went uncleared, around 6,035 people "got away with murder" that year. Of course, this assumes each offender murdered only one person, which very likely isn't true, but seeing as the cases are unsolved, this is our best guess. Anyway, while that number is disturbingly high, there is some good news. From 2003 to 2004, the number of murders fell 2.4% and violent crime in general is on a downswing.
So there you have it folks.... Somehow the 2.4% decrease doesn't seem that big, but I suppose it's better than a 2.4% increase.
Friday, June 02, 2006
The Drake Equation
The Drake equation (also known as the Green Bank equation or the Sagan equation) is a famous result in the speculative fields of xenobiology, astrosociobiology and the search for extraterrestrial intelligence.
This equation was devised by Dr. Frank Drake (a professor at the University of California, Santa Cruz) in the 1960s in an attempt to estimate the number of extraterrestrial civilizations in our galaxy with which we might come in contact. The main purpose of the equation is to allow scientists to quantify the uncertainty of the factors which determine the number of extraterrestrial civilizations. In recent years, the Rare Earth hypothesis, which posits that conditions for intelligent life are quite rare in the universe has been seen as a possible refutation of the equation.
The Drake equation is closely related to the Fermi paradox. It was cited by Gene Roddenberry as supporting the multiplicity of starfaring civilizations shown in Star Trek, the television show he created.
The Drake equation states that:
N = R^{*} ~ \times ~ f_{p} ~ \times ~ n_{e} ~ \times ~ f_{l} ~ \times ~ f_{i} ~ \times ~ f_{c} ~ \times ~ L
where:
N is the number of civilizations in our galaxy with which we might expect to be able to communicate at any given time
and
R* is the rate of star formation in our galaxy
fp is the fraction of those stars which have planets
ne is average number of planets which can potentially support life per star that has planets
fl is the fraction of the above which actually go on to develop life
fi is the fraction of the above which actually go on to develop intelligent life
fc is the fraction of the above which are willing and able to communicate
L is the expected lifetime of such a civilization
How Stuff Works
This site is pretty amazing. If you have a question about almost anything chances are the answer can be found here.
Thursday, June 01, 2006
Analogies found in High School Students' essays.
1. Her face was a perfect oval, like a circle that had its two sides gently compressed by a Thigh Master.
2. His thoughts tumbled in his head, making and breaking alliances, Like underpants in a dryer without Cling Free.
3. He spoke with the wisdom that can only come from experience, like a guy who went blind because he looked at a solar eclipse without one of those boxes with a pinhole in it and now goes around the country speaking at high schools about the dangers of looking at a solar eclipse without one of those boxes with a pinhole in it.
4. She grew on him like she was a colony of E. Coli, and he was room-temperature Canadian beef.
5. She had a deep, throaty, genuine laugh, like that sound a dog makes just before it throws up.
6. Her vocabulary was as bad as, like, whatever.
7. He was as tall as a six-foot, three-inch tree.
8. The revelation that his marriage of 30 years had disintegrated because of his wife's infidelity came as a rude shock, like a surcharge at a formerly surcharge-free ATM machine.
9. The little boat gently drifted across the pond exactly the way a bowling ball wouldn't.
10. McBride fell 12 stories, hitting the pavement like a Hefty bag filled with vegetable soup.
11. From the attic came an unearthly howl. The whole scene had an eerie, surreal quality, like when you're on vacation in another city and Jeopardy comes on at 7:00 p.m. instead of 7:30.
12. Her hair glistened in the rain like a nose hair after a sneeze.
13. The hailstones leaped from the pavement, just like maggots when you fry them in hot grease.
14. Long separated by cruel fate, the star-crossed lovers raced across the grassy field toward each other like two freight trains, one having left Cleveland at 6:36 p.m., traveling at 55 mph, the other from Topeka at 4:19 p.m. at a speed of 35 mph.
15. They lived in a typical suburban neighborhood with picket fence that resembled Nancy Kerrigan's teeth.
16. John and Mary had never met. They were like two hummingbirds who had also never met.
17. He fell for her like his heart was a mob informant, and she was the East River .
18. Even in his last years, Granddad had a mind like a steel trap, only one that had been left out so long, it had rusted shut.
19. Shots rang out, as shots are wont to do.
20. The plan was simple, like my brother-in-law Phil. But unlike Phil, this plan just might work.
21. The young fighter had a hungry look, the kind you get from not eating for a while.
22. He was as lame as a duck. Not the metaphorical lame duck, either, but a real duck that was actually lame, maybe from stepping on a land mine or something
23. The ballerina rose gracefully en Pointe and extended one slender leg behind her, like a dog at a fire hydrant.
24. It was an American tradition, like fathers chasing kids around with power tools.
25. He was deeply in love. When she spoke, he thought he heard bells, as if she were a garbage truck backing up.
2. His thoughts tumbled in his head, making and breaking alliances, Like underpants in a dryer without Cling Free.
3. He spoke with the wisdom that can only come from experience, like a guy who went blind because he looked at a solar eclipse without one of those boxes with a pinhole in it and now goes around the country speaking at high schools about the dangers of looking at a solar eclipse without one of those boxes with a pinhole in it.
4. She grew on him like she was a colony of E. Coli, and he was room-temperature Canadian beef.
5. She had a deep, throaty, genuine laugh, like that sound a dog makes just before it throws up.
6. Her vocabulary was as bad as, like, whatever.
7. He was as tall as a six-foot, three-inch tree.
8. The revelation that his marriage of 30 years had disintegrated because of his wife's infidelity came as a rude shock, like a surcharge at a formerly surcharge-free ATM machine.
9. The little boat gently drifted across the pond exactly the way a bowling ball wouldn't.
10. McBride fell 12 stories, hitting the pavement like a Hefty bag filled with vegetable soup.
11. From the attic came an unearthly howl. The whole scene had an eerie, surreal quality, like when you're on vacation in another city and Jeopardy comes on at 7:00 p.m. instead of 7:30.
12. Her hair glistened in the rain like a nose hair after a sneeze.
13. The hailstones leaped from the pavement, just like maggots when you fry them in hot grease.
14. Long separated by cruel fate, the star-crossed lovers raced across the grassy field toward each other like two freight trains, one having left Cleveland at 6:36 p.m., traveling at 55 mph, the other from Topeka at 4:19 p.m. at a speed of 35 mph.
15. They lived in a typical suburban neighborhood with picket fence that resembled Nancy Kerrigan's teeth.
16. John and Mary had never met. They were like two hummingbirds who had also never met.
17. He fell for her like his heart was a mob informant, and she was the East River .
18. Even in his last years, Granddad had a mind like a steel trap, only one that had been left out so long, it had rusted shut.
19. Shots rang out, as shots are wont to do.
20. The plan was simple, like my brother-in-law Phil. But unlike Phil, this plan just might work.
21. The young fighter had a hungry look, the kind you get from not eating for a while.
22. He was as lame as a duck. Not the metaphorical lame duck, either, but a real duck that was actually lame, maybe from stepping on a land mine or something
23. The ballerina rose gracefully en Pointe and extended one slender leg behind her, like a dog at a fire hydrant.
24. It was an American tradition, like fathers chasing kids around with power tools.
25. He was deeply in love. When she spoke, he thought he heard bells, as if she were a garbage truck backing up.
Subscribe to:
Posts (Atom)