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Joined 1 year ago
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Cake day: June 12th, 2023

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  • As I said to him, “in the US you don’t get to vote and get someone better than Joe Biden
    

    Actually, write-ins are a thing, so you literally can vote for anyone else than him and Trump.

    I think you misunderstood the author. You can literally vote for anyone, but the winner of the next US presidential election is only going to be Biden or Trump (barring a crazy twist, e.g. death or criminal conviction). I think the author’s point is that, in any given election, you should probably vote strategically, but getting better options takes a lot of work for a long time to make it happen, so get working if you can.




  • That’s how Putin claims to perceive it, but that’s also what he would claim if his actual goal was to control his neighbours by force. And don’t forget Finland and Sweden responded to the invasion of Ukraine by joining NATO. If Russia perceived NATO as a threat, then Finland joining would make them more likely to be attacked. Clearly Finland feels NATO is making them safer or they wouldn’t have joined. And since then, Russia has moved tons of their military away from NATO borders and into Ukraine.

    In other words, I trust the actions of Finland and Russia more than I trust the words of Russia.







  • Thanks for the update and graphs. That is an amazing improvement. In the “after” plot, it looks like any acceleration from the train is well below the noise level of your accelerometer. So, within the limits of your measuring equipment, you’ve effectively eliminated all train vibration. If I were in your place, I would declare success and move on with life! Don’t even bother with foam and rubber feet, because this configuration is working great.

    But you could analyze further if you really want; there could be some train signal hiding in all that noise. Since there’s periodic noise in the Z axis, you could take a reading during a still time (computer off, no trains) and see where your spikes are in the frequency domain. Then you could apply a filter (or filters) to cut out that periodic noise.

    But unless you’re really into learning about signal analysis, I’d say you could skip it.


  • None of the included experiments look to be exactly what you need. For characterizing your isolator, the included Acceleration Spectrum is close, though it records continuously, making it difficult to use to record impact response. For evaluating actual train vibrations, the user-defined Integrated Acceleration might be a start, but it doesn’t include the filtering needed to get good information. You could define your own experiments, but that’s probably even harder than analyzing the CSV data on your computer. At least on your computer you can change your analysis freely and immediately see results, rather than re-running the experiment every time.