"Consuming foods with ingredients derived from GM crops is no riskier than consuming foods modified by conventional plant improvement techniques."
The primary conclusion is that for a number of claims that are generally held to be true by consensus, opposition to those results show interesting correlations: opposition correlates negatively with objective knowledge (what the final test indicated that the subject knew about the field), and positively with subjective knowledge (what the subject thought they knew about the field). Those who were most opposed tended to exhibit a large gap between what they knew and what they thought they knew.
Here's the list of subjects and then I'll get to the punch line:
Which one wasn't like the others?
Climate change!
The question was in the same vein as the rest:Most of the warming of Earth’s average global temperature over the second half of the 20th century has been caused by human activities.
Unlike every other field listed in this research, there was a slight positive correlation between opposition to the claim and objective knowledge of the subject (see figure 2).
What other consensus viewpoints are out there where agreement with the consensus correlations with greater ignorance of the subject? Economics maybe?
(Score: 0) by Anonymous Coward on Tuesday August 23 2022, @06:07AM
The evidence is presented in the linked journal papers that discuss each of the three events that were listed. In short, because you don't want to click through and actually look at the papers, you're denying that there's any evidence. It's plainly obvious that you haven't even looked at any of the three papers that are linked on that webpage, and because you couldn't be bothered to click the links, you're pretending there's no evidence provided. That is incredibly lazy, and your reason to claim that no evidence was provided is asinine and disingenuous. The evidence is literally two clicks away from this comment: one to https://www.ametsoc.org/ams/index.cfm/publications/bulletin-of-the-american-meteorological-society-bams/explaining-extreme-events-from-a-climate-perspective/three-extreme-events-that-were-not-possible-in-a-preindustrial-climate/ [ametsoc.org], the second to one of the three journal papers. You do understand how to identify and click links on a webpage, don't you? The linked articles are BAMS articles, which are intended to be more accessible to people with a general science background than, say, an article in Journal of Climate. BAMS is, of course, still a peer-reviewed journal.
This is vague and unscientific. It is not a useful criticism. The models are verified against past climates, and generally do a good job of simulating the past. In this case, the models are simulating climates of the past and present day, which exactly what they've been verified against. This is not the same as the scenario of simulating future climates, which have more uncertainty because the models are being extrapolated into conditions for which there's currently no data to verify them against. But attribution studies involve simulating past and present climates. Models have been verified in these climatic conditions. They do a good job of replicating them.
Now, you could say that there's a problem with a specific model. There are flaws and biases in each model, sure. But you'd also be wrong to involve that argument, because the researchers were using data from CMIP5. It's a collection of data from many models [llnl.gov], so they didn't just rely on one model. They looked at simulations of preindustrial climates from a large number of models and none came close to replicating the extreme event. Because they used an ensemble of models, you can't say that flaws in a particular model prevented them from reproducing the extreme event.
Your criticism is unscientific and would be dismissed out of hand if you provided it as a peer reviewer.
TL;DR: These studies are simulating climates of the recent past. The simulations can be trusted because the models have been verified against those climates. There are many models, so the results aren't because one single model is flawed.
No, you didn't. You are dismissing these studies out of hand because they're inconvenient for your political views.