tritipsocial
Joined 3 years ago
Joined 3 years ago
Dimensions: 85 mm x 56 mm
Area: 4760 mm^2 or 7.38 in^2
Copper: 4 x 1oz layers
Copper Weight: 0.205 oz = 0.013lb
Copper price: 0.013 * $4.50/lb = $0.0585
And that doesn't include the copper removed by etching. So if they paid a 6c tariff on each raspberry pi board, they'd be overpaying.
Can they generate a certificate claiming each board contains no more than this amount of copper, overpay the tariff by a few pennies, and carry on?
- NASA Is in Full Meltdown
- ChatGPT Tells User to Mix Bleach and Vinegar
- Video Shows Large Crane Collapsing at Safety-Plagued SpaceX Rocket Facility
- Alert: There's a Lost Spaceship in the Ocean
The fuziness mentioned comes from when outside firms try and estimate the % domestic content. Unlike CBP they’re largely making estimated guesses, but luckily that’s not how the tariffs are calculated.
The formula is a simple, linear equation: tariffs = 0.25 * MSRP * (percent foreign content - 15)
Companies with 84% domestic content will pay a 25% tariff on 1% of the MSRP, companies with 70% domestic content will pay a 25% tariff on 15% of the MSRP, etc.
This is a common sense way to incentivize companies to make parts here without requiring perfection.
Here is the proclamation:
https://www.whitehouse.gov/presidential-actions/2025/04/amen...
They used survey results from the Nurses Health Study (NHS), which are decades long studies, still running, where participants fill out a food frequency questionnaire once every few on how often they ate various foods.
Not only do these questionnaires rely on memory, they rely on memory of a perception, because people don't actually measure how many cups of broccoli they eat each day. It's the worst quality of data. It's a memory of a guess, there is no measurement involved whatsoever, which is why I hesitate to even call it data.
Not only is the data itself low quality, it is compounded by lifestyle factors that are impossible to fully correct for. As an example, people that eat red meat are more likely to smoke and have diabetes, more likely to eat fast food, more likely to exercise less, etc etc. Eating foods that are perceived as healthy is correlated with healthy lifestyles. Butter has been "unhealthy" for years, so it is almost certainly correlated with an unhealthy lifestyle.
The nurses health study has led to many incorrect conclusions for these very reasons:
- It suggested hormone replacement therapy reduced heart disease risk, but randomized trials later proved it increased it due to confounding factors like healthy user bias.
- It linked vitamin E to lower heart disease risk, but trials found no benefit, showing the association came from health conscious behavior.
- It linked beta carotene to reduced cancer risk, but trials revealed supplements could increase lung cancer risk in smokers, not prevent it.
Many weak associations from the study, like diet and disease, were overstated as causal but didn’t hold up in trials due to confounding and noise.
If you are interested in how often studies like this are wrong, see "Why Most Published Research Findings Are False" by Ioannidis (spoiler: 70%).
In later comments on their blog they admitted they didn't even file the paperwork and left it up to the customer, who obviously wouldn't know how, causing the part to get stuck in customs.
It's a frustrating situation for them but there's no way CBP is making people break out lab equipment to import a PCB.