I love this so much.
483 karma · joined April 2, 2012
Synthetic aperture radar scraper and aggregator across international public satellite providers.
And reading statistics in my free time.
they have very helpful history in understanding how poverty is manufactured, within the context of colonial capitalism.
I originally got into programming because of an interest in computer animations. using computers more got me interested in security. when I got to school my new goalpost was cryptography. My first job out of school was developing a password key manager. The interest in cryptography and experience in security landed me a job at a company that did that work, but my position was in machine learning and programming languages. Because of some of the ML applications I got to see the new goal was to get into environmental studies, graduate school allowed me to explore computational models for light pollution and cetacean vocalizations. I did this concurrently as a data engineer for a neuro imaging lab datapipelines and interest in cetaceans give me a brief run as a web developer for animal tracking site. This cumulated in pushing me towards data science. now I work in machine learning for computer security.
The idea that even healthcare being passed could be thrown out as soon as there is a leadership change, means that this would need to sustain itself through a racing change prior to me seeing it as realistic.
I could see finishing out a political term, if these laws were passed sufficiently early
as an example, if you really want to do good by the environment, it is significantly lower cost and significantly better for the environment to set up an efficient bus system and make all busing free for major cities, but the tech response has been individualized electric cars.
things like US military not having to report how much they use in fossil fuels, mean that any measurements we get are always going to be from our observed effects, rather than from our known outputs.
if you don't know where pollutants are coming from, then the likelihood you'll be able to change anything is very low. also if you actually don't know how waste is being treated, you have no measurement of cost. The reason why we have attached pull tabs on the tops of cans, is that soda companies used to be charged for litter associated with their product. that innovation significantly reduced litter, but many of those restrictions and monitors have been lifted. there's no incentive for a company to produce recyclable goods. we also can observe that recycling as has been taught to behave throughout the United States is simply not the case. there is effectively no plastics recycling industry, it has been a sham for decades.
societies will have to start to make intentional economic decisions towards usafrican principles and communally shared resources, rather than planned obsolescence to make a dent. this is probably the most important social change that could be made for the environment that could be made.
Even with all of that most metrics look at atmospheric effects, which is very important for understanding temperature. there is, however, a deep need for more studying of topsoil and deep ocean surveys.
solutions to climate change problems have to be developed with an ecological mindset, and will require significant social change. this is not about individual responsibility. the top polluters vastly outweigh the combined bottom polluters in waste.
there are a lot of people who are trying to solve this problem with data, but That's not a new strategy. many of the national Labs have climate change models. Lawrence Livermore national Labs does fantastic research with great data from a United States perspective, and have been for 30 years. I posit that the problem is not enough great minds on data.
Information monopolies should be federated.
Academic research should be public
If you can do part-time work through a contract broker then that's probably in your best interest. Contract brokers are companies with business models like like toptal. The real hurdle is finding companies to apply with should be mitigated by the network you sign on to.
In order for the act of democracy to perform better, barriers to entry for participating need to be dropped and representation has to be improved.
Big steps that can be made are
- getting money as far away from politics as possible. This will be done by limiting spending and limiting time spent campaigning.
- mathematically designed districts
- instead of first pass the post, many will say instant runoff. Instant runoff is fine, but it is still super linear. To get closer to a direct democracy, liquid voting is far more effective. I personally like log-liquid voting that scales a representative influence logarithmically with their constituent size. This logarithmic scaling allows smaller communities to be heard and dissuades clout chasing.
- typically smaller countries are able to represent the diversity of their citizens better
- term limits on all positions
- remove advertising from news outlets
- Break apart information and monopolies like all of the major social networks and news stations
That being said, the hacker in me is always trying to take an ideology and figure out how to break it. I imagine that that is a dominant philosophy in communities like this.