My focus is on the provision of robust science advice to policy makers on climate & evidence that scientific integrity has suffered in key ways
But first, lest there be any confusion. . .
1⃣ Those who are familiar with my views will know the below
2⃣ Scientific integrity would seem to a a topic that both Democrats and Republicans should be able to agree on
The US government generally (but definitely not always!) does an excellent job in soliciting and securing robust expert advice
Climate should be no different
3⃣ Anyone following me knows climate science currently has some serious issues with the ubiquity of out-of-date scenarios
This is not simply an academic issue
Out-of-date scenarios can be found in scenarios used in important policy setting (eg, in regulation, by central banks)
Policymakers & the public are routinely provided misinformation by NOAA (one of my favorite science agencies!) w/ the count of so-called "billion dollar disasters"
The dataset is poor economics & inappropriate for measuring climate trends
It's clickbait, apparently irresistible
In reality the US & world economies hv become more resilient & less vulnerable to extremes
eg, flood damage as a % of US GDP has dropped by 70% since 1940 - this is not a small decrease
Normalized hurricane & tornadoes losses below also
It is good news & we want it to continue
Can you believe that the 2017 and 2018 US National Climate Assessment did not include a graph showing a timeseries of US hurricane landfalls?
Hurricanes by far have the greatest economic damage of extreme weather
And yet the NCA didn't share with policy makers a timeseries?
🤷♂️
4⃣ Here are two examples where flawed science advice has real-world policy consequences: central bank climate stress testing & estimates of the "social cost of carbon" for regulatory policies
Both based on wildly out-of-date scenarios which project implausible futures (below)
And rather than use existing science advisory mechanisms on climate, Congress is considering creating more such mechanisms, which would risk a confusing landscape of committees and create more opportunities for "policy based evidence" by mandating the substance of its advice
5⃣ Congress has the ability to require that the US NCA up its game & provide robust science advice (and just just that which advances the administration's policy agenda)
I recommend three actions to improve the role of the NCA in supporting Congress and the federal agencies
The bottom line?
At present there are troubling signs that Congress and the federal agencies are not receiving the high-quality advice necessary to inform decision making on climate mitigation and adaptation policies
Climate is too important for bad advice
/END
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The idea it was perfect under Democrats, as @afreedma & other advocacy journos suggest, is simply wrong
The most recent NCA was totally capture by interest groups and companies that would benefit from the report - UCS, TNC, EDF, CAP, Stripe etc
Below just a few of its authors
@afreedma The head of the NCA5 stated publicly that she would never cite our work in the assessment, even though our work is by far the most cited research on economic losses in the US associated with floods, hurricanes, tornadoes
🧵Let's take a quick look at the implications of the regulations that have followed from the 2009 EPA endangerment finding
According to @C2ES_org the 2021 GHG standards for light vehicles would reduce projected CO2 emissions by a cumulative 3.1 billion tons to 2050 c2es.org/content/regula…
Over the next 25 years the world would emit 925 gigatons of CO2 assuming constant 2025 emissions and ~690Gt assuming emissions are cut in half by 2050
That means that the projected impact of the regulations would reduce global emissions by 0.0003% (constant) & 0.0004% (halved)
The idea that CO2 can be regulated out of the economy is flawed
If the purpose of CO2 regulation is to create a shadow carbon tax, then it is a horribly inefficent way to do that
Once again, all this leads us back to Congress and the need for smart energy & climate policy
🧵
The percentage of a percentage trick is increasingly common & leads to massive confusion
Here a undetectable difference of 0.01 events per year per decade is presented as the difference between a 31% and 66.4% increase (in the *likelihood* of the event, not the event itself)
The resulting confusion is perfectly predictable
Here is a reporter (NPR) explaining completely incorrectly:
"The phenomenon has grown up to 66% since the mid-20th century"
False
Also, the numbers in the text and figure do not appear to match up
I asked Swain about this over at BlooSkeye
A Frankenstein dataset results from splicing together two time series found online
Below is an example for US hurricane damage 1900-2017
Data for 1980-2017 was replaced with a different time series in the green box
Upwards trend results (red ---)
Claim: Due to climate change!
The errors here are so obvious and consequential that it is baffling that the community does not quickly correct course
The IPCC AR6 cited a paper misusing the Frankenstein hurricane loss dataset to suggest that NOAA's gold standard hurricane "best track" dataset may be flawed
JFC - Using flawed economic loss data to suggest that direct measurements of hurricanes are in error!
We’ve reached the point where an IPCC author is openly rejecting the conclusions of the IPCC out of concern over how their political opposition is correctly interpreting the AR6
The integrity of the IPCC on extreme events is now under attack
The IPCC explains that a trend in a particular variable is DETECTED if it is outside internal variability and judged with >90% likelihood
For most (not all) metrics of extreme weather detection has not been achieved
That’s not me saying that, but IPCC AR6
The IPCC also assesses that for most (but not all) metrics of extreme weather the signal of a change in climate will not emerge from internal variability with high confidence (ie, >90%) by 2050 or 2100, even assuming the most extreme changes under RCP8.5