Kairos
- 111 Posts
- 4.04K Comments
1·12 hours ago108!! Fuck sorry I apparently cannot do math.
90 * 1.2 = 90 + 18 = 108
1·12 hours agoHm. Fair. I guess I meant the whole phrase “percentage points”.
83·12 hours agoJust because your argument is fallacious doesn’t mean the conclusion is wrong.
“Black people are hot therefore they should be treated equally” is an example that I can immediately come up with.
53·23 hours ago“Honour killing” yet you have none.
2·23 hours agoNo I was just asking if you saw a downvote on my comment :3
1·23 hours agoRoffle, how could you do this to us?
Headline is lying.
Abstract of study is:
Extreme weather events are becoming more frequent and intense due to climate change. Yet, little is known about the relationship between exposure to extreme events, subjective attribution of these events to climate change, and climate policy support, especially in the Global South. Combining large-scale natural and social science data from 68 countries (N = 71,922), we develop a measure of exposed population to extreme weather events and investigate whether exposure to extreme weather and subjective attribution of extreme weather to climate change predict climate policy support. We find that most people support climate policies and link extreme weather events to climate change. Subjective attribution of extreme weather was positively associated with policy support for five widely discussed climate policies. However, exposure to most types of extreme weather event did not predict policy support. Overall, these results suggest that subjective attribution could facilitate climate policy support.
So it measures politics. Not action. Two different things.
8·1 day agoDid the headline just tell me that, enshitification, something which is always by design, is by design?
1·1 day agodeleted by creator
5·1 day agoSame director and a lot of the same actors.
Actually that last paragraph isn’t wholly true. I did so and they followed me around to harass me.
Yes that’s the point :3
An LLM doesn’t do search. It regurgitates the statistically most likely next words based on its training data.