SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.
Politics : Formerly About Advanced Micro Devices -- Ignore unavailable to you. Want to Upgrade?


To: Wharf Rat who wrote (851289)4/20/2015 11:40:32 PM
From: i-node  Read Replies (1) | Respond to of 1579075
 
>> Before they started talking about how to treat it, 97% agreed that untreated breast cancer is deadly.

The point is, THEY WERE WRONG. Dead wrong. With insane risks they jumped to the conclusion that the best treatment for breast cancer was to cut deep. And the deeper, the better. Before long, they were leaving nothing but the rib cage.

And it made perfect sense if you looked at it with the conclusion already drawn, just as has been done with GW. Cancer specialists, the most informed people in the world -- places like Johns Hopkins and University of Pittsburgh, got it wrong. Because someone reasoned incorrectly that cancer cells spread differently from how they reasoned.

It was an honest mistake. But like GW and Obamacare, a mistake isn't harmless. These are very costly, sometimes people's lives depend on them, and you can't be an ignoramus or arrogant. You have to follow the statistics, not lead them. And the GW crowd are leading the statistics.

We don't know what is correct. But it is premature to conclude that man is causing GW, and even if he is, that it is a real problem, and even if it might ultimately become a real problem, whether progress in other fuel methods might alleviate it without spending money that we need for more pressing matters.

You have to open your mind like the cancer specialists eventually did. Now, they understand the misery they can cause if they lead the statistical analyses with their personal feelings.