[FRIAM] Climate Change

Sat Dec 30 07:27:24 EST 2017

Glen,

I'd like to comment on your comment a few posts earlier:

*"*That* is why I think focusing on the workflows (modeling) is important.
Those of us who distrust the experts bear the burden of proof.  Hence, we
have to really dig in and find the flaw in the experts' thinking.  To do
otherwise is irrational.Those of us who can delegate and tend to trust
experts only need to dig in when/if a skeptic produces a defensible
counter-argument.  If all a skeptic has to offer are blanket
generalizations about human error or whatnot, then it seems rational to
ignore that doubt and go with the conclusions of the experts.If Pieter
knows of a specific flaw in the way the experts do their work, then it
would be a valuable contribution."*

My first reply is that I consider evidence to be much more valuable than
expert's opinions. The IPCC is rich in expert's opinions and very light on
evidence.

The second reply is that I certainly do not claim any explicit fraud in
climate science. But there is evidence of bias in climate science and "soft
punishment" of scientists who disagree with the main narrative. For
example, refer to Judith Curry's experience when she started to challenge
the main climate science narrative. She is a former Chair of the School of
Earth and Atmospheric Sciences at Georgia Tech and blogs at
www.judithcurry.com.
My point is that although there is no evidence of explicit fraud, there is
evidence of an environment that promotes groupthink.

Combining the two points, with evidence of less temperature increase than
what the models predict and evidence of an environment in climate science
promoting "fitting in" and the absence of healthy challenging of climate
science, my conclusion is to be skeptical towards main climate science and
the IPCC's conclusions.

On 30 December 2017 at 10:30, Pieter Steenekamp <pieters at randcontrols.co.za>
wrote:

> I'm also a big fan of James Lovelock. Interesting that he changed his
> views on climate change dramatically. I refer to an interview The Guardian
> newspaper had with him recently (www.theguardian.com/
> environment/2016/sep/30/james-lovelock-interview-by-end-of-
> century-robots-will-have-taken-over). I quote:
> "What has changed dramatically, however, is his position on climate
> change. He now says: “Anyone who tries to predict more than five to 10
> years is a bit of an idiot, because so many things can change
> unexpectedly.” "
>
>
> On 30 December 2017 at 07:25, Carl Tollander <carl at plektyx.com> wrote:
>
>> I would rather,
>>  than worry directly about the predictability of the climate models we
>> currently have vs the population/variety/intitial conclusions of
>> researchers from decades ago,
>>  that we instead consider a range of climate risks, their consequences,
>> our responses/adaptations, and their consequences.
>> The latter may prepare us, and it moves that portion of the science along
>> in any case, and may yet eventually show up any deficiencies in the former,
>> but let's get underway.
>>
>> Personally, I'm with Lovelock on the large grain future: the window of
>> action gets progressively smaller the longer we delay, and that the world
>> will likely experience
>> a "massive reduction in carrying capacity" (that's a euphemism) over the
>> next century.    Looking at older cultures and how they survive, mutate,
>> die or flourish in analogous upheavals (e.g. mid-8th-century China or
>> black-death eras in  Europe) might be worthwhile at this point. Start by
>> assuming the fan/speed/blades and what/who hits it; what can/should we DO?
>> We should at least perhaps understand when we are waiting too long to begin
>> adaptations that are cheap, safe, economic or politically acceptable, for
>> Nature bats last.
>>
>> Hope y'all like mosquitoes.
>>
>> カール
>>
>> On Fri, Dec 29, 2017 at 8:59 PM, Marcus Daniels <marcus at snoutfarm.com>
>> wrote:
>>
>>> Nick writes:
>>>
>>>
>>> < IF climate models cannot "predict" past anomalies, why should we trust
>>> them now? >
>>>
>>>
>>> The European weather model assimilates 50+ types of measurements in
>>> space and time, including satellite data.   Obviously, these measurements
>>> were not possible except in the last few decades, never mind in the middle
>>> ages or before humans.   So whether or not there were even particular kinds
>>> of climate anomalies is a subject of some debate.    For example, were
>>> those periods wet or were they warm?  Were they uniform across the global
>>> or localized to certain regions?
>>>
>>>
>>> Marcus
>>> ------------------------------
>>> *From:* Friam <friam-bounces at redfish.com> on behalf of Nick Thompson <
>>> nickthompson at earthlink.net>
>>> *Sent:* Friday, December 29, 2017 8:27:21 PM
>>> *To:* 'The Friday Morning Applied Complexity Coffee Group'
>>>
>>> *Subject:* Re: [FRIAM] Climate Change
>>>
>>> I dunno, I thought Pietr's point was kind of interesting.  IF (and I
>>> don't know if the condition is met) ... IF climate models cannot "predict"
>>> past anomalies, why should we trust them now?   Or did somebody already
>>> answer that.
>>>
>>>
>>>
>>> Nicholas S. Thompson
>>> Emeritus Professor of Psychology and Biology
>>> Clark University
>>> http://home.earthlink.net/~nickthompson/naturaldesigns/
>>>
>>> -----Original Message-----
>>> From: Friam [mailto:friam-bounces at redfish.com
>>> <friam-bounces at redfish.com>] On Behalf Of u?l? ?
>>> Sent: Friday, December 29, 2017 5:40 PM
>>> To: FriAM <friam at redfish.com>
>>> Subject: Re: [FRIAM] Climate Change
>>>
>>> Well, I mean "models" writ large.  Even when gathering and reducing
>>> observational data, there's a workflow for doing that. That workflow relies
>>> on a model of a sort.  And integrating different data sets so that they're
>>> commensurate also requires models.  E.g. correlating tree ring based with
>>> other climate data.
>>>
>>> But you're ultimately right.  It's not so much about the models as it is
>>> the whole inferential apparatus one *might* use to drive policy decisions,
>>> including huge populations of expert climatologists.  There's probably a
>>> correlation to be drawn between people who distrust government and those
>>> who distrust the "scientific establishment" and/or the "deep state".
>>> People tend to obey/trust whoever they regard as authority figures (e.g.
>>> greater shocks to another if a person in a lab coat tells you to do it).
>>> Those of us who inherently distrust authority figures have a particular
>>> psychological bent and our impulse can go the other way.  It could be
>>> because we know how groups can succumb to bias, or how errors get
>>> propagated (e.g. peer review), or whatever.
>>>
>>> *That* is why I think focusing on the workflows (modeling) is
>>> important.  Those of us who distrust the experts bear the burden of proof.
>>> Hence, we have to really dig in and find the flaw in the experts'
>>> thinking.  To do otherwise is irrational.
>>>
>>> Those of us who can delegate and tend to trust experts only need to dig
>>> in when/if a skeptic produces a defensible counter-argument.  If all a
>>> skeptic has to offer are blanket generalizations about human error or
>>> whatnot, then it seems rational to ignore that doubt and go with the
>>> conclusions of the experts.
>>>
>>> If Pieter knows of a specific flaw in the way the experts do their work,
>>> then it would be a valuable contribution.
>>>
>>> On 12/29/2017 12:41 PM, Jochen Fromm wrote:
>>> > IMO it is not about models. Models are complicated and controversial.
>>> Climate change in the artic is a fact, melting arctic ice is a fact,
>>> melting glaciers is a fact. In the arctic regions we can oberve the rising
>>> temperatures most clearly.
>>>
>>>
>>> --
>>> ☣ uǝlƃ
>>>
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>>>
>>
>>
>> ============================================================
>> FRIAM Applied Complexity Group listserv
>> Meets Fridays 9a-11:30 at cafe at St. John's College
>> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
>> FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove
>>
>
>
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