Stories
Slash Boxes
Comments

SoylentNews is people

Another Climate Data Scandal

posted by martyb on Monday February 09 2015, @09:45PM   Printer-friendly
from the heated-discussion dept.

BK writes:

The Telegraph reports "The fiddling with temperature data is the biggest science scandal ever"

From the article:

"When future generations look back on the global-warming scare of the past 30 years, nothing will shock them more than the extent to which the official temperature records – on which the entire panic ultimately rested – were systematically “adjusted” to show the Earth as having warmed much more than the actual data justified."

It seems that the norm in science may well be to cherry pick the results, but the story points to evidence that some climate data may have been falsified to fit the theory.

Sure, it's clickbait, but we've recently discussed cases where science and scientific consensus has gotten it so very wrong. Can we trust the science if we can't trust the data?

 
This discussion has been archived. No new comments can be posted.
Another Climate Data Scandal | Log In/Create an Account | Top | 79 comments | Search Discussion
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.

  • (Score: 2, Informative) by Anonymous Coward on Monday February 09 2015, @10:14PM

    by Anonymous Coward on Monday February 09 2015, @10:14PM (#142875)

    See, the way this works is you take all the data, discard the outliers, and average the rest. I'm halfway through a stat course at community college so I know what I'm talking about. Science just works, bitches.

    Starting Score:    0  points
    Moderation   +2  
       Offtopic=1, Informative=2, Underrated=1, Total=4
    Extra 'Informative' Modifier   0  
    Total Score:   2  

  • (Score: 1) by zugedneb on Tuesday February 10 2015, @01:17AM

    by zugedneb (4556) on Tuesday February 10 2015, @01:17AM (#142952)

    though you will probably get modded troll, there is a big grain of truth in this: statistics is a seriously hard subject, and scientist =/= statistician.
    Just take averaging/smoothing data: there are a number of window types to use, and they all have different properties with respect to Bias and Variance...
    If you "want" to, there will always be a reason to disagree with the method used to work with some time series...

    --
    old saying: "a troll is a window into the soul of humanity" + also: https://en.wikipedia.org/wiki/Operation_Ajax