Let's be positive my friends
> Many of us worked in fields where good research tends to be more nuanced and open to interpretation
I've had a hard time getting people to understand this. It's always felt odd tbh. It's what's meant by "truth doesn't exist". Because it doesn't exist with infinite precision, though they are plenty of times where there's good answers. In our modern world I think one of the big challenges is that we've advanced enough that low order approximations are no longer good enough. It should make sense, as we get better we need more complex models. We need to account for more.In many optimization problems there are no global solutions. This isn't because we lack good enough models, it's just how things are. And the environment is constantly changing, the targets moving. So the complexity will always exist. There's beauty in that, because what fun is a game when you beat it? With a universe like this, there's always a new level ahead of us.
> Many of us worked in fields where good research tends to be more nuanced and open to interpretation
>> I've had a hard time getting people to understand this.Why, can't you just tell them "it's not a science, it's more like performance art."
I'd love to see ProPublic or other investigative journalists do some research here. Especially on the driver side, because they seem to have even less leverage than average riders.
(1) N drivers authorized on the Rideshare platform are engaged.
(2) these N drivers drive simultaneously and in a similar geographic preference- as if they live in the same neighborhood, but also are optimizing as drivers do. And yet drawn home.
(3) pricing, earnings, etc. are recorded per driver and compared across drivers on the Rideshare platform(s).
Now we engage the experimental component. With N drivers we can have N/2 drivers engage in behavior A or behavior B. Then, when the Rideshare platform denies they do this or that depending on that or this, there is good evidence that is not the case. Statistical evidence. Tallyho, bandits!
Go to an auction house, or a swap meet. Haggle for prices, against other buyers, negotiate with sellers. Approach any salesman in a business with unpublished prices (B2B especially.) Try to purchase a home or a vehicle, middleman or not.
Think about it, and you'll discover that pricing algorithms have been subject to human whim since before the invention of money.
The amazing innovation of markets was indeed, up-front price tags, fairness to all buyers, yet any underlying algorithm was still private and proprietary, so the consumer at a Safeway doesn't really have any idea what his carton of milk costs or why he's paying $7 for it.
The article is discussing federal forests. The timberlands in Oregon are owned by private, federal and state entities.
Forests managed for for timber by the state are protected differently, like, first to get sprinkler lines in a wildfire. They are a crop which is invested in and harvested. Federal forests are easier to log after a burn anyway, and you can log outside the burn with that cover. The United States Forest Service (USFS) is actually, basically, a road building and logging company, but owls and so on really got in the way for a couple decades. We're figuring out how to keep logging. We're capitalists.
The only state forests with old growth are going to be the "experimental" state forests in the Cascades and the Olympic and Coast ranges. Otherwise we woulda logged 'em. I mean there are old growth pine trees and juniper in Oregon and Washington east of the Cascades, a few, but those aren't timberlands.
So for example, it's possible that if you already have chronic illness, a disability, or any other kind of health issues, you're more likely to have higher social isolation and therefore be more lonely, in addition to having a higher mortality risk. There's an outside variable (your health) that is correlated with both (loneliness and mortality), but that doesn't necessarily mean that loneliness causes mortality. If this were the case, we could defend claims like "autism increases mortality", because we already know that autism increases social isolation.
What you say sounds true about chronic illness and isolation. These researchers are looking at research done using actual interventions and real results.
What should they do to analyze this more than RCTs and then meta-analysis of RCTs?
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s... Tackling social disconnection: an umbrella review of RCT-based interventions targeting social isolation and loneliness