DOGE's government cuts may hurt business, companies warn investors
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I know... I'm asking for too much... this is usually proprietary stuff, so people are reluctant to share. But I want to live in a world where sensible people can compare models of what might happen. We don't have to necessarily agree on the assumptions or results. But we could at least be open about why we predict various outcomes. That would be better foundation that how we do things now, which is really embarrassing for a world with our capabilities.
Eventually, I want to live in a world where we have sensible discussions about our predictions and about which outcomes are more and less favorable.
P.S. If you are building a product or startup doing this, let me know. Or let everyone know. I built a product in this general area many years ago, but I didn't find product-market fit. Anyhow, I just want modeling tools like this to exist; I don't care who makes them.
P.P.S. I'm very intentionally not bringing in my political philosophy nor level of personal concern here. To be open, I am personally affected, as are many of my friends, but I want to find some kind of common ground that doesn't make this about my particular take on the overall situation.
- GDPNow if you want shorter term: https://www.atlantafed.org/cqer/research/gdpnow
- DSGE if you want longer term: https://www.newyorkfed.org/research/policy/dsge#/overview
It’s an aggregate measure and doesn’t tell the distribution of wealth amongst nation.
Also, it’s a metric that was sort of useful in the 1950s and during wartime when this country manufactured goods. Now it’s all unclear in this modern economy. It doesn’t take into proper account of services, quality of care, quality of life.
It doesn’t even take into account _losses_ that may occur. Such as a natural disaster. Sure, in a post disaster GDP goes up because region is rebuilding. But the losses due to disaster are not figured into GDP.
It’s a broken metric. Stop using this as an indicator of economic health and human welfare.
edit; never heard of DSGE but yet again looks like yet another flawed “model” that assumes a level of “equilibrium” and seems to have been birthed out of the pseudoscience known as neoclassical (and orthodox) economics.
This touches on a key point: just because we can predict something doesn’t mean we should optimize for it. Still, being aware of consequences is useful: perhaps we want to satisfice under various constraints.
But a bigger problem is the lack of a variety of models to choose from and compare.
My suggestion? If we want to encourage more models to exist in the world, we should use a mixture of (1) criticizing models (like above); (2) pointing to existing alternative models; (3) building new models; (4) writing up specific comparisons of models; (5) showing how to make models; (6) writing up successful case studies. And lots more.
Do we have any economic models which managed to predict any non-obvious, relevant things?
We already see this with people arguing with near 100% confidence of X happening because of Y and Z…in a vacuum.
I want to see something similar to what you’re asking, don’t get me wrong. But the underbelly of that is a broken clock being right twice a day and far too much weight and decision making being put into some model that doesn’t actually reflect reality
- Statistically, more models tends to be better (in the same sense that more information is better) under the assumption that people can tell better from worse.
- I like how you talk about _applying_ models instead of _using_ models. It is an easy one word change that (to me at least) emphasizes the choice points of: (a) selecting the model; (b) selecting parameters; (c) interpretation.
- All models (by definition) are unrealistic in some way. If a model operates at a useful level of abstraction, inaccuracies at lower levels may be acceptable. In fact, such inaccuracies may be the key to making the model tractable and efficient.
[1]: https://hubbardresearch.com/about/applied-information-econom...
Maybe they even allow clients to play around with the model directly, but I wouldn’t bet on it. I’m guessing they gate access to it via consulting fees. One wouldn’t want a client to “misinterpret” the model, would we? :P
Furthermore, the idea of open sourcing their base model isn’t probably something that they would consider; it is likely perceived as incompatible with their business model.
[1]: https://www.amazon.com/How-Measure-Anything-Intangibles-Busi...
Not possible with this neoclassical economy we live in. It’s an ongoing grift that has been ongoing for _decades_ which has allowed for irrational thinking to prevail, for wealth and success to be focused into a select group, and for multibillion dollar corporations to be bailed out when their own decisions drive the company to the ground. Privatize the profits, socialize the losses.
There are ways to track ownership of entities and relationships. There are ways to quantify how contracts are awarded, the results, and the impacts. These are complex models, but they can give insight into the dynamics.
I was hopeful ~5-10 years ago with the rise of data science, but I don’t know how much this growth corresponded with decision makers using the models both broadly and in intellectually honest ways.
There are areas where the results seem clear; e.g. advertising and product-specific decision points, such as recommendation engines.
Beyond these short-term ML applications, there are other domains where modeling is essential: weather forecasting, politics, markets, economics. But this is just the tip of the iceberg.
Here is a metric I’m interested in: what percentage of decisions are informed by quantitative models?
Aside: Before you complain that e.g. “some decisions aren’t impactful enough to warrant a model-backed approach”, let me say that I sort of agree, but… There are indeed lightweight quantitative models (or at least processes) that can track / predict when using a heavier model is worth it!
I don’t have systematic data on this; it is just a hunch, inspired by what I have heard and seen.
Why? Effective modeling provides differential advantages.
-intra-organizational diffusion: technically savvy people will rise into management.
- inter-organizational dispersion: techniques used by winners will spread across organizations and industries.
The way to have more goods and services is to make more goods and services. Releasing people from digging holes allows us to create more wealth.
The new game is how much dick can you suck so someone in power smiles upon you.
Then in 18-24 months when everyone has resigned themselves to the price increases and the politically connected buy up struggling businesses the tariffs come off.
At which point, the cost to the business is lowered but the price increases will more or less stay, and those that have consolidated power will be in prime position to remain dominate for some time, likely decades.
It’s a giant market manipulation experiment disguised as many other actions but will ultimately culminate in consolidations of power
Step II is going to be regulatory capture. I expect to start seeing this by summer or fall
My dominant model is this: the core of the Trump administration is most interested in remaining in power and building connections. So they do whatever works to garner favor. They are relatively unaware or unafraid of the gathering storm of legal pushback. I think they figure they can get away with a lot before it catches up to them, politically or legally. This includes taking actions that they know are illegal.
Bluntly, with their own admission, they are bringing a chainsaw to the status quo. Why? Probably because this builds power: others are beholden to them to build it back. I don't think there is much of a shared sense of "doing what is best" for the country. I view them as opportunists, hoping to ride Trump's popularity.
Around them is a coalition with a range of interests. Some are genuine believers that DOGE will bring greater long-term economic growth (i.e. GDP). Some are so ideological that no real-world scenario would prompt them to change their policy prescriptions. Some of the coalition actively wants to reduce separation of church and state. Some are willing to curtail freedom of the press.
It is a dangerous coalition because each part seems willing to let the other parts get what they want. They seem to fail to understand the importance of the rule of law and economic stability.
I wonder how many know that Silicon Valley wouldn't exist without government research. Have they studied history? I can't claim to peer into their brains. I am curious as to what various people on the inside think they are accomplishing.
It sure seems like a risky bet to ally with Trump; any allies better be ready to contort themselves to his various mercurial whims. Which parts of the coalition can get what they want and come out the other side in good shape? It seems to me they are burning the candle at both ends.
Up until now, I've been reluctantly tolerant (far from happy) with a manageable level of government inefficiency, military-industrial backscratching, political pork sharing, and insufferably inane politics -- because, put together, this seems to a relatively stable way of maintaining some semblance of a representative democracy, healthy economy, a strong entrepreneurial sector, strong national defense, and math/science research. But the current direction is far worse. I don't think economic chaos, massive privatization, blatant corruption, likely Constitutional crises, meddling with the free press, using government for political retribution of (institutions, universities, individuals), loss of confidence in SCOTUS, etc... is doing to lead the US in promising directions. A significant number of people and business are going to leave. We're losing national prestige. It is a net loss to America and the world. But a net gain to Trump and his circle, at least in the short-run.
I don't know how true this actually is.
Unfortunately as you say if you try to time the market, or centrally plan interest, you generally get it wrong and end up even worse than a floating market.
It didn't take long before we saw the effects of the great depression.
Simple math ...Both ppl in ur example contributing to the economy makes for a strong economy.
Generally the government is worse at generating wealth (in fact, they almost entirely rely on taking wealth others could otherwise spend and then spending it themselves) to spend than the private sector. Firing a government employee who then must work in the private sector doesn't imply reduced spending on anything but the most short sighted of timelines.
I'm doubtful of your argument and the economy will go into a recession.. on Fox news Trump today wouldn't say it would or wouldn't .. not reassuring but that's what I think that's what he wants to happen ..he just won't say it outright but this plan could back fire (he's playing with fire) and cause pain to every citizen!
Imagine you farm and create 200 apples, you go to the crossroads and offer them for sale, and earn $200. Someone comes along, and having themselves spent the day building a table, offers it to you for $200 and you take it. Youve both spent your earnings and even better, you now both feel better off than before. You use the table to better work on your implements for apples, generating more value and spending.
Now suppose, instead, you go to the crossroads, you sell your apples, make $200. Someone comes along, takes that $200, maybe with a badge that says 'taxman', and says "not to worry, we will give it to an employee that will spend it!."
Now maybe that employee will spend your $200 building a table for you or someone else, but he's under no economic pressure to do -- he already has your money. It's just as likely he uses it to create 30 rifle cartridges that get shot into a mountain in Afghanistan. That doesn't increase spending, it just takes what you were going to spend and spends it on something else. If you fire that person, and they're forced to now build tables, spending increases even if they are now paid less.
It takes a while for this too happen though right, during which time there’s some “economic pain” as the euphemism goes.
> “What the Department of Government Efficiency is trying to do is what GitLab does,” Robins said.
...well, fuck
Every company is another company's competitor and it's not fair that some companies have to compete against other companies whose profit margins are padded by taxpayer dollars... To some degree it's like being forced to subsidize one's own competitor.
I have yet to see a significant amount of this exposed.