Here's more on the new mitigation scenario for 1.5C. How does it work? What would society look like? Are we willing to do what's required to stop climate breakdown? See thread.

•a shift from private cars to public transportation
•reduction in flights
•smaller average house size
Meanwhile, consumption in the global South (non-Annex 1 countries) rises to converge.


•Meat consumption in high-income nations falls by about two-thirds (with specific focus on beef).
•Significant reduction in food waste.
•Global transition from industrial farming to regenerative agricultural methods to restore soils and biodiversity.
•Universal public services
•Shorter working hours
•Basic income and maximum wage
•Radical reduction in inequality
These measures ensure that all people have access to the resources they need to live flourishing lives even as aggregate economic output declines.
More from Science
If this is true raises the question of why certain (fringe & unethical) views got access to No.10 while others were ignored... https://t.co/A75HrSEqo4
— Prof. Devi Sridhar (@devisridhar) December 13, 2020
I want to talk about 3 things:
‼️Their fringe views are inhumane, unethical junk science that promotes harm
‼️They complain that they've been marginalized but this is simply untrue
‼️I am sick of people telling me we have to "listen to both sides." There aren't 2 sides here 2/n
These 'dissident' scientists have consistently downplayed COVID-19, urging policymakers not to take aggressive control measures. They claim it is not a serious threat. Gupta even went on TV saying people under 65 shouldn't worry about it!
RECEIPTS
They have consistently argued that policymakers should just let the virus rip, in an attempt to reach herd immunity by natural infection. Kuldorff *continues* to argue for this even now that we have many highly effective, safe vaccines.
Focused Protection: The Middle Ground between Lockdowns and "Let-it-rip". An essay by Jay Bhattacharya (@Stanford), @SunetraGupta (@UniofOxford) and @MartinKulldorff (@Harvard). https://t.co/T8uLxSFwgh
— Martin Kulldorff (@MartinKulldorff) December 11, 2020
We've never controlled a deadly, contagious pandemic before by just letting the virus spread, as this approach kills & disables too many people. In Manaus, Brazil, 66% of the city was infected & an astonishing *1 in 500* people died of COVID-19
😭
The new answer to a 77-year-old problem in data analysis, published today in @naturemethods. Instead of significance tests, use estimation graphics. Our software suite DABEST makes it easy for everyone to visualize effect sizes.https://t.co/UzwXJ7EUC5 pic.twitter.com/VtxyY0xaRM
— Adam Claridge-Chang (@adamcchang) June 19, 2019
https://t.co/hm9NoaU4nr
Open letter to journal editors: dynamite plots must die. Dynamite plots, also known as bar and line graphs, hide important information. Editors should require authors to show readers the data and avoid these plots. https://t.co/0GNKEIUCJL pic.twitter.com/OS9ytEFRZN
— Rafael Irizarry (@rafalab) February 22, 2019
https://t.co/8fKDiKjSWc
Couldn't find D3 code for grouped horisontal box plots that show data points so I made this @mbostock @thisisalfie https://t.co/cQjDPhyZdw pic.twitter.com/y6RNmDB2p3
— Ulrik Lyngs (@ulyngs) June 28, 2017
https://t.co/jkaicC1F2x
made a pkg for pirate plots in ggplot: add any of points/means/bars/CIs/violins \u2013 better than ye olde bar/box plotshttps://t.co/Z2m2kW3hsl pic.twitter.com/npAirPQexM
— Mika Braginsky (@mbraginsky) September 28, 2017
https://t.co/PpxWT4Jef4
See the new #PowerBI visual awesomeness for data points & sources, box-&-whisker plots! https://t.co/dOmgoxWfDE pic.twitter.com/HAUOAMJEJW
— Microsoft Power BI (@MSPowerBI) February 1, 2016
Look like that they got a classical case of PCR Cross-Contamination.
They had 2 fabricated samples (SRX9714436 and SRX9714921) on the same PCR run. Alongside with Lung07. They did not perform metagenomic sequencing on the “feces” and they did not get

A positive oral or anal swab from anywhere in their sampling. Feces came from anus and if these were positive the anal swabs must also be positive. Clearly it got there after the NA have been extracted and were from the very low-level degraded RNA which were mutagenized from
The Taq. https://t.co/yKXCgiT29w to see SRX9714921 and SRX9714436.
Human+Mouse in the positive SRA, human in both of them. Seeing human+mouse in identical proportions across 3 different sequencers (PRJNA573298, A22, SEX9714436) are pretty straight indication that the originals
Were already contaminated with Human and mouse from the very beginning, and that this contamination is due to dishonesty in the sample handling process which prescribe a spiking of samples in ACE2-HEK293T/A549, VERO E6 and Human lung xenograft mouse.
The “lineages” they claimed to have found aren’t mutational lineages at all—all the mutations they see on these sequences were unique to that specific sequence, and are the result of RNA degradation and from the Taq polymerase errors accumulated from the nested PCR process
