So lets add storage (50% efficiency). 150 such parks. Makes 150x200=30.000 ha (min). That is the total area of Munich. PVs is trash in 30 years and needs continuous replacement (fresh fossil powered mining + industry) somewhere in the world.
The total primary power need for Germany is 460 GW. You would need 460/1.4*30.000 ha ~ 1.5x Bavaria (1.5 times red here) as PV park surface. Sounds like a plan.
The Great Wall is the largest man-made project in the world. 20,000 km (~2000km2). Germany will beat this by 50x with the Great Solar Park, 100.000km2. 50 times the Great Chinese Wall. Life time 30 year only.
1M km of 100 m PVs. Earth-Moon back twice.
Wir schaffen das 🙂
A NL engineer showed a calculation that NL does not have sufficient area (incl. the complete Dutch North Sea sector) to produce sufficient energy. The RE Amish utopia only works if Randstad emigrates to Africa and only the farmers stay. Without fossils or nuclear, no NL society.
To the moon and back. That will be generation 2 (you need to make one every 30 years) of the Great Solar Wall. Generation 3 will be on the moon (problem: night is 15 days long there).
The Tower of Babel (to reach the god of the sun) project can begin.
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..advocates of the CO2 theory were very concerned about Medieval Warm Period (MWP) being warmer than the 20th century and that warming had occurred naturally. The elimination of the MWP and Little Ice Age became known as “the hockey stick”
1/ This study shows the confounding between high and low vaccinated groups. When doing what @CDCgov and @rubenivangaalen did, plotting mortality by vaccination status, it creates an apparent vaccine effect as mortality rates are vastly different in those groups per default.
2/ Even if adjusting for such confounders like @ONS did, a significant residual confounding remained. @OS51388957@jsm2334 tried to remove it with an empiric correction factor that is derived from assuming that non C19 mortality should to be matched.
1/Comparing crude mortality between populations with different age structures creates a Simpson's paradox.
Norway (young pop.) has the lowest crude mortality, while Italy (older pop.) the highest.
After age standardization, Italy actually has the lowest pre-C19 mortality rate
2/ This is also reflected in another age adjusted parameter, the life expectancy (LE).
Did you know that life expectancy (LE) and age-adjusted mortality (ASMR) have an inverse relationship? Italy had the highest LE (and lowest ASMR) until COVID-19 measures caused a setback.
3/ How misleading crude rates are even with small differences in age structure is illustrated when adding Spain and Denmark. After age-adjusting, we see that Spain and Denmark aren't on par with Italy and Norway. This aligns with Denmark's 2-year lower life expectancy
2/ If you want to learn more: Prof. Jorgen Peder Steffensen (glaciology and geologist) is a good source to follow. nytimes.com/2008/08/03/opi…
Ice core science:
9/ "We now see that everybody early 2020 died all at the same time regardless of region. Neglect doesn’t do this, false negative test don’t do this, fear doesn’t do this, pathogens don’t do this. What will do it is a nationally coordinated campaign..." 😉
10/ We know that Covid was circulating Q4 2019 in Italy already. So what happened: PCR turned the lights on. Similar as in the AIDS pandemic (K. Mullis explained).
Then you panic. In the East there was nothing to discover with the light (PCR). In only spread slowly later in Q3.
11/ One claim: It can spread so fast to peak at same time across thousand kilometres, but not contagious enough to spread to the green area? =Logical fallacy. Nr.1 @plaforscience
And Q3 spread was more slow with more contagious variants = Fallacy Nr. 2