Is Vampirism a Virus that Mutates the Body and Explains Mythological Beliefs?

[xwolfenx]

couldn't vampirism be a virus that puts the body in a suspended animation in which it can mutate the body ie giving it advanced senses the blood would regenerate the body the organs except the heart and brain becoming useless explaining why myth says dismemberment and ripping the heart out would kill it

 

[Jonathan]

I doubt it, but what's your point? The only things being exsanguinated are farm animals, and every one nows the aliens do that.

 

[xwolfenx]

my point is I am trying to see if anyone is and is willing to comment

 

[Jonathan]

Sorry, don't mean to make you mad. But supposedly, vampires live till someone forcably kills them, so you'd think that a disease causing vampirism would be spreading like wildfire, since ther is no limit on the number of people even one could infect.

 

[xwolfenx]

well since the society we have today they can get blood packets and it could be a weak virus that the imune system can fight off so maybe the only way infection can happen is if the individual is near death or has a imune deficiency

 

[Jonathan]

Then you'd think that Africa would be full of vampirism because of AIDS. Though that would explain why AIDS is spreading like wildfire there, maybe there's a connection...

 

[xwolfenx]

vampires wouldn't be killing machines more like us with the need to eat we eat but we won't go around eating everything same with vampires they want to stay hidden so they dun go on killing sprees they buy there blood

 

[Sting]

There is a condition that starts with the letter "p" (it escapes my mind at the moment). This condition pulls back the gums of a corpse, giving the appearance that fangs are protruding. It also has other conditions that give the appearance that the victim is a "vampire."

 

[xwolfenx]

thankyou for the mental image but I am talking about living people thankyou

 

[Jonathan]

This is just speculation Sting. Where do the African vampires buy their blood?

 

[Sting]

This is just speculation Sting

I thought they had determined that the condition (the p word) actually occurs?

 

[russ_watters]

Originally posted by Jonathan
Then you'd think that Africa would be full of vampirism because of AIDS. Though that would explain why AIDS is spreading like wildfire there, maybe there's a connection...

Actually, the reason is pretty simple: bad medical practices and LOTS of unprotected sex.

 

[Sting]

If you really wanted to determine an association between vampirism in Africa and AIDS in Africa, you would have to take a statistical sample (I would recommend a LARGE sample).

Determine you null hypothesis and alternative hypothesis:

Null hypothesis H0: vampirism and AIDS are not associated.
Alternative hypothesis Ha: vampirism and AIDS are associated


Compose a contingency table that divides your sample of (for example) say 1020 into AIDS-infected/not AIDS affected and vampirism/no vampirism. For example, AIDS-infected is the left column, Not AIDS-infected is the right column, vampirism is the top row and no vampirism is the bottom row.

In doing so we assume two assumptions: 1. all expected frequencies are 1 or greater and 2. At most, 20% of the expected frequencies are less than 5.

Let R denote the row total and C denote the column total.

The expected frequency, E, is defined as:

E = (R * C)/n, where n is the sample size.

Find the expected frequency for each of the four categories (vampirism and AIDS, vampirism and No Aids, No vampirism and AIDS, and no vampirism and no AIDS).

If the assumptions mentioned are not met, you should reject this procedure, if not, then continue.

Decide on a significance level (alpha) and compute the value of the test statistic:

X^2 = [sum][(O - E)^2/E]

where O amd E represent observed and expected frequencies.

The critical value will be X^2 at your stated significance level with degrees of freedom (df) = (r - 1)(c - 1) where r is the number of rows (2 in this case) and c is the number of columns (2 in this case). In this case, df = (2 - 1)(2 - 1) = (1)(1) = 1

You can use a table in any Statistics book to determine the critical value. If the test statistic falls in the rejection region (greater than X^2 at alpha) reject H0. If it doesn't fall in the rejection region, do not reject H0.

Okay, I've shown you how to do it. You gather the data.