Message from @johny1846
Discord ID: 637310076960636929
the later one has been modified
often with no oversight
data mixing isn’t inherently wrong it should be avoided but if you know that one data is accurate and the other data is accurate you can mix them. Nothing is wrong with this
tbqh I don't care about CO2 levels, it's irrelevant to me. I only care about temp records
Why we can observe the green house effect on a small scale that co2 causes
it doesn't matter how accurate the data is, if it's coming from an airport or other urban heat island it is entirely irrelevant, not just low quality
Earth's atmosphere not small scale though
Idk dude co2 levels we calculate aren’t from airports or urban heat islands
the temp data is
Sure but it proves the green house effect carbon has.
only in a container
on a small scale
Okay so why doesn’t this phenomenon scale?
it doesn't account for the multitude of variables in Earth's climate
it doesn't account for anything other than TSI
and even when it does that, climate science tells us that atmospheric CO2 is more powerful at driving our climate than the sun
it doesn't account for high energy particles
it doesn't account for magnetosphere effects
Sure many of these factors are constant
And don’t change
no.
assumption
From the human perspective
milankovitch cycles
Co2 levels thought out history created drastic change in the temperature
no
We can see this after the time period you talked about
it was warm in the 1940s
when CO2 was low
it was cold in the 60's-70's
when CO2 was high
except the evidence of these periods is being changed or removed
Okay so in a couple years In the 1940s it was warm and in the 70s it was slightly colder so that means the green house effect isn’t real.
You are the one cherry picking data
rubbish
go look for yourself
if you can find an untainted source
there are emails between climate scientists talking about how problematic the 70's cold period is
We can see historical records of how much change the co2 levels change from plants and volcanoes see the drastic change in temperature and see how it changed.
and how they can massage the data to better fit the trend they want to show