This is a really important number & I haven't seen it mentioned anywhere
FEMA estimates that in 2021 we should expect $141B is catastrophe losses in the US, based on current exposure, historical event frequency & loss ratios
The FEMA loss estimation CANNOT be compared to the spectacularly awful NOAA billion dollar losses
For weather losses, FEMA uses data processed by ASU/SHELDUS off of NOAA Storm Data, as below
NOAA Storm Data uses a bespoke special sauce to gin up losses (read on...)
NOAA's billion $ loss database mixes together direct and indirect losses (like business interruption & commodity markets) as well as non-event costs (e.g., "disaster restoration and wildfire restoration")
They also "scale up" insured loss data, which guarantees double counting
NOAA also includes improperly a 10-15% scale-up of losses putatively based on Smith and Katz 2013 (side note: Rick Katz had the office next to mine at NCAR for 8 years)
This is not what their paper says to do - as it is a function of insurance participation rates
Whatevs
If NOAA were to take Smith and Katz seriously they would
(a) Not use crop losses
If NOAA were to take Smith and Katz 2013 seriously they would
(b) Not use just CPI-adjusted data
(In other words .. NOAA shouldn't be doing what they are doing!)
All that said
Understand that FEMA's expected annual loss estimates are serious - $141B/yr
NOAA's billion dollar disasters is bad science at best & political propaganda at worst
Don't confuse the two
What is a more accurate representation of US* weather disaster losses over time?
Here you go, enjoy!
Note: FEMA's $141B in 2021 equates to ~0.6% of GDP
*North America, but almost all are US
Interestingly, median North American weather losses 2010-2020 in Swiss Re dataset are $140B, while FEMA total expected losses for 2021 are $141B (not just weather)
This suggests to me that FEMA is low
Expected losses should be higher than 10-yr median due to growth alone
/END
PS. Just for fun I have graphed below NOAA Billion$ disaster losses as a % of Swiss Re total NA weather losses
2017 is ... interesting
Pop quiz: Over time, why might we see a greater proportion of total losses coming from billion$+ events? Is there an economist in the house?
• • •
Missing some Tweet in this thread? You can try to
force a refresh
🧵
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
The US National Academy of Sciences has a new study committee on Extreme Event Attribution
Among its sponsors are the Bezos Earth Fund and Robert Litterman
Who are they? . . .
The Bezos Earth Fund sponsors World Weather Attribution, an advocacy group promoting the connection of weather events w/ fossil fuels in support of press coverage & lawsuits
Robert Litterman is on the board of Climate Central which founded WWA & collaborates on climate advocacy
The fact that a NAS committee is funded by political advocates is crazy enough
But that is not all
On the committee itself are individuals from two climate advocacy groups
One . . . the Union of Concerned Scientists which is working to use attribution to support lawsuits . . .