>> <http://www.alertnet.org/thenews/newsdesk/L25725707.htm>:
>> "According to latest statistics from the state-run National Aids
[quoted text clipped - 11 lines]
>> Oh, and we all know how UNAIDS over-estimate their HIV and AIDS
>> figures. Inflating estimates by 100% is their way of doing things.
>There is no disagreement here. The data have the same original
>source.
>UNAIDS estimated 6.1 prevalence [in adults aged 15-49].
>I suggest the reuters report you are reading neglected to mention that
>the 6.1% figure only represented young adults and not all Kenyans.
Erm, so which is it? Is there "no disagreement" or is the report
wrong?
The article specifically mentions "5.9 percent of the east African
nation's 35 million people."
It's all very well for you to sweep this inconsistency under the
carpet, however it demonstrates one of the problems with the HIV
theory: bad theories and bad data based on other bad theories and bad
data.
>But if it suits you to jump in and shout "LIES!", then I guess no one
>can stop you.
That's your word, not mine.

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Death - 28 Jun 2007 15:45 GMT
"Martin" <martin@hiv-poz.co.uk> wrote in message
> >> Oh, and we all know how UNAIDS over-estimate their HIV and AIDS
> >> figures. Inflating estimates by 100% is their way of doing things.
I have been noticing a change in the way stats are being reported.
It is no longer (this) percentage has been infected.
It now comes in a break-down of age, sex, risk group and nationality.
The more numbers you have chasing the greased pig, the more
confusing the numbers become.
DavidT - 28 Jun 2007 17:23 GMT
> Erm, so which is it? Is there "no disagreement" or is the report
> wrong?
> The article specifically mentions "5.9 percent of the east African
> nation's 35 million people."
I am saying that this has been reported wrongly. The UNAIDS data
confirm that the 6.1% figure represents only young adults. If you wish
to believe second hand quotes on a news agency site rather than the
original data, be my guest. Just don't get upset when others say: "X
must be true, because I heard it on Oprah"
> It's all very well for you to sweep this inconsistency under the
> carpet, however it demonstrates one of the problems with the HIV
> theory: bad theories and bad data based on other bad theories and >bad data.
It demonstrates the problem with reporting of statistics, not with the
theory of causation of AIDS. Like yourself, I deplore
misrepresentation on this issue and I agree that the area of
predicting HIV estimates leaves a lot to be desired.
> >But if it suits you to jump in and shout "LIES!", then I guess no one
> >can stop you.
>
> That's your word, not mine.
Funny that, I thought this thread was titled "HIV statistic LIES from
Kenya". You did write that, didn't you?.
If you can't even understand what you wrote (and read) a few days ago
then no wonder you struggle with a UNAIDS report.
Martin - 28 Jun 2007 19:02 GMT
>I am saying that this has been reported wrongly.
>It demonstrates the problem with reporting of statistics, not with the
>theory of causation of AIDS. Like yourself, I deplore
>misrepresentation on this issue and I agree that the area of
>predicting HIV estimates leaves a lot to be desired.
>> >But if it suits you to jump in and shout "LIES!", then I guess no one
>> >can stop you.
>>
>> That's your word, not mine.
>Funny that, I thought this thread was titled "HIV statistic LIES from
>Kenya". You did write that, didn't you?.
Oh yes, so I did. Well, you've already described it as "reported
wrongly" and "misrepresentation."

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