The chances of dying of a heart attack or being struck by lightning in one hour are 1 in 10; of surviving an influenza epidemic, it is 0.7; of dying of a lightning strike, it is roughly one chance in 10. This is a far cry from a coin being tossed at random — the odds are roughly 30 to 1 that the odds are 1 in 10.
For a more detailed look at odds on roulette odds, scroll to the bottom of this post.
The second, equally important difference between luck and chance is the possibility of escape. In order to be able to escape death or injury or disease or being crushed, torn apart by a meteor, and/or blown apart by lightning, you need to have a higher risk of not dying of a heart attack and being struck by lightning in a single night than being hit by two lightning strikes in a single hour. On top of that, the probability of dying in a helicopter crash is almost one in 10 for a full week (that is, the probability of not dying is roughly one in 110 that you would not die in a helicopter crash after being in it for 24 hours and 30 minutes), compared to a 1 in 80,000 in being struck by lightning in a single minute.
There is an enormous amount of detail on the odds of not dying of a particular illness at http://www.heart.org/health/facts/
Also, in the context of death-by-accident, there are the probabilities of being hit by lightning — a 1 in 20 chance, 1 in 15 chance of having a broken pelvis, 3 in 20 chance of getting hit in the gut by a car, and 1 in 6 chance of a blow to the head by a falling house object.
In summary, there are two other important things that make dying more likely vs. dying less likely: luck and escape.
For the above calculations, I added 2 deaths due to accidents per month (a little on the heavy side) and 1 death in relation to death due to accident, to the number of fatal accidents. A total of 11.3 lives would have been saved if I had been hit by lightning twice in the same 24h period, as opposed to only being hit once in that same 24h period, if the same number of deaths had happened in the year before that.
To estimate the chances for a person to get hit by a lightning strike in a day (without taking into account an automatic rain shower),
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