secondarily

how can 3% (human produced CO2) of the total annual flux of CO2 be more potent than the natural 97%?

(3% of 0.04< 97% of 0.04)

how come temps were so high in the early industrial period (low CO2) and so cold in the late industrial period(high CO2)? (1940 vs 1969)

it isnt mroe potent

they can barely calculate the supposed manmade share in temperature change

Okay first off. Just because there is a small percent change. Doesn’t mean it will have a large effect. Nature can only absorb so much of it and adding more doesn’t get absorbed. That’s why it might seem like a small percent but it’s actually big.

how come NASA and NOAA are having to resort to data modification?

Data modification? We modify all data

its cherrypicked data

only if you want to fit it to a model

data is data

I mean you got to show evidence for this

yes i agree data is data

just dont tell people to trust data

science doesnt work if you politicise the data

this ^

and the science process itself

Show me proof nasa cherry picks data

already did

go look at any Tony Heller yt video, he's been showing the data tampering for years

its on the frontpage of their hockeystick

page

amazing what youu can find when youu take a copy of original data

Oh the supposed data mixing he cries about?

homogenizing is something else that's laughable;; including low quality data does not increase precision

Do you know that you need to use data mixing to compare co2 levels now co2 levels before? Of course you should try to avoid data mixing but it’s impossible in this circumstance.

so they've added thousands of data points.... from airports!! 😂

urban heat islands

yeah, sure, that won't skew the data at all

I’m not sure if I would take tony hellers word on any of this

don't have to

that's the beautiful thing, it's clear in the data itself

Yeah we can’t do ice core data of co2 levels now. So if you want to compared co2 levels now to millions of years ago how do you do this without data mixing

I've looked at both datasets

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