Not sure if I'm getting enough omega-3 as a vegan but hopefully. Eat quite a bit of nuts, and ground flax every morning. I take an algae-oil supplement for EPA and DHA, but not sure if there's some other easy addition to my diet.
273 karma · joined June 16, 2019
>The new study narrows the range at both ends, particularly the lower end. It finds there’s a 66% chance that the sensitivity range falls between 2.6 and 3.9 C of warming (4.9 to 7 F).
Also the article mentions analyzing how the Earth reacts to change being a big reason for the update, particularly clouds:
>Perhaps most importantly, the new study investigates multiple lines of evidence when it comes to climate sensitivity. It uses global climate models, which simulate large-scale processes across the whole world. It also uses detailed, process-based models, which can simulate fine-scale events related to the formation of clouds.
>The new report devotes a large chunk of its analysis exclusively to clouds. It examines the growing body of science on how different types of clouds respond to climate change, and how changes in these clouds may affect future climate change.
Not only with clouds but feedback loops in general are the most interesting aspect of these predictions for me. I'm sure it's insanely difficult to calculate all factors, but I wonder how all-encompassing these models tend to be. The article mentions this being a type of meta analysis, but for a single study looking at clouds, for example, is the lowering of Earth's albedo due to melting ice typically something they would take into account when studying cloud predictions or not?
As for what I'm doing, it's a project that is taking various siloed fan-created data on the web and collecting, aggregating, and transforming it into RDF for the purpose of being queried by researchers. I think RDF and RDF-adjacent things (e.g. knowledge organization, ontology application) are useful here, but the actual querying / data analysis requiring an RDF transformation is maybe questionable.
Hopefully some people write their thoughts on this after exploring the API. I have a rather general interest in algorithimic-powered recommendations when compared to human curated, so it should be interesting to see how this functions. This is assuming that, despite Google using it across a number of service types, Recommendations AI is not solely aimed at product purchases.
I think, at least for my use, a more simply knowledge base (e.g. zotero, are.na, etc.) where I'm able to store, categorize, and search for things is the best option, and I'll leave the establishment of relationships to my mind.
Like another comment here mentioned, the diversity of content (and maybe slightly less political news) is why people like HN, so maybe I've just been lucky to be able to 'curate' my Twitter similarly.
#ImOut: Quit your woke company — Tell your story using the hashtag #ImOut and give others the courage to follow your lead. Let's bankrupt the woke.
If interested, the last exhibit is by Raven Kwok - https://twitter.com/ravenkwok
Also, is it the shape itself or the fact that the shape is a number? In other words, if you put a random cutout of the number 8 on a tree branch rather than have him look at a sequence of numbers, would that make any difference?
I sure hope so.
Isn't the idea to use both renewable energy sources AND co2 capture where possible? I'm not sure I've heard capture proposed as a replacement for renewable energy and that we should just continue using fossil fuels while capturing co2.
>This research is based on data from two real carbon capture plants, which both run on natural gas.
This is related to the last point. Assuming capture plants were run using renewable energy, I'm not sure if there is a net environmental negative from using both together.