No, that's not what I mean and not what I said.
We all understand the difference. We're not stupid. But we do make fun of it(*), because that meme is so often used to excuse bogus predictions.
(*) E.g. warmer = 'climate,' colder = 'weather'
Estimating, and having a good sense of when an estimate is complete enough to be accurate, is a portable skill. It includes a critical sense for when one does *not* have enough information.
For example, at this late stage in climate 'science' we still regularly have revelations like this:
"By entering realistic estimates of stocks of black carbon in soil from two Australian savannas into a computer model that calculates carbon dioxide release from soil, the researchers found that carbon dioxide emissions from soils were reduced by about 20 percent over 100 years, as compared with simulations that did not take black carbon's long shelf life into account.
The findings are significant because soils are by far the world's largest source of carbon dioxide, producing 10 times more carbon dioxide each year than all the carbon dioxide emissions from human activities combined."
That's just plain embarrassing--a huge revision of a positive feedback. Getting gain factors wrong like that, in a system near unity gain, makes a big difference.
And why is this factor being revised? Because NO ONE CAREFULLY CHECKED IT. We've been modeling for decades, and no one checked. That's amateur hour. Or really, politics-hour, since the scientists aren't the ones projecting certainty.
You don't seem to be able to tell John's brainstorming from beliefs. Absent that filter, it's gonna be confusing.
Cheers, James Arthur