In my dad’s case it very likely did - it was lung cancer and still pre-symptomatic, but had already started to metastasize, so a later discovery would probably have meant a much worse prognosis category.
I agree anecdotes don’t generalize and broad population screening sounds like a bad tradeoff.
What I’m wondering about instead is risk-stratified situations: once someone already has elevated risk or prior lung disease and you’re imaging them periodically for legitimate reasons, incidental findings may carry much more signal than noise.
For example, people with prior tuberculosis often get periodic chest X-rays, not to screen the general population, but because their baseline risk is different. My dad had prior lung disease and existing imaging to compare against, which probably made the finding actionable rather than just another false positive.
So not “scan everyone”, more “the usefulness of incidental findings rises quickly once pre-test probability isn’t tiny”.
Extremely anecdotal: my dad’s lung cancer was found incidentally - shoulder pain → shoulder MRI → radiologist noticed lung nodules. The shoulder pain was unrelated, but the scan itself was clinically indicated and there were prior scans to compare against, which made it immediately suspicious and triggered follow-up imaging.
He was also in a higher-risk group (age + history), which in hindsight probably made the incidental finding meaningful rather than noise.
So cases like his make me think less “scan everyone periodically” and more “imaging can be very valuable once risk is non-trivial or there’s a baseline to compare to”. For the general population you’d mostly generate false positives, but for higher-risk groups (older, smokers, prior findings) it seems much more defensible.
One thing to consider: Germany has a rapidly aging population so it naturally gets more unlikely to fund and get success with new technology. Imagine trying to develop some shiny new app in a country where over a quarter of the population is 60+ and most people refuse to pay cashless let alone accept any other new tech.
I do agree but American big tech does hire quite a bit here, no? Amazon, google, msft, meta all have fairly big offices all over Europe. And many other big tech companies aswell, especially since fully remote jobs becoming way more common.
I may be an extreme outliar, but these numbers seem quite low to me?
The highest salaries listed there were about 30-40% lower than my new grad salary.
Granted it’s an offer for an american big tech company, but even many of my peers with less than stellar CV’s did better than the data shows.
So the command to display the actual image is an argument of the cli. If you use kitty, u can simply use kitty’s internal utility function ‘icat’ to display images. So you simply add these lines to ur bashrc: ‘’’ terminalmuseum --command "kitty +kitten icat" --print_title ‘’’ If your terminal can’t display images the next best alternative is to use imgcat. In this case u need to install imgcat and then replace the command argument with “imgcat”.
So the answer is I use nothing to display images, as the user provides the command for it and I just run it.
That is completely wrong? The FAR majority of developers do not work in tech companies. Most big corporations have internal developer teams, or they employ some contractors that do development for them. But MOST big companies employ developers in basicly all industries.
I am from munich so my opinion may be skewed, but it is at best very average, as in some no name devshop/consultancy would pay this much(and even they tend to pay more).
Nothing I would expext from a Unicorn, but maybe the market in Berlin is THAT different.
A recruiter contacted me aswell and I asked about their salary. They pay 50k euro for juniors in berlin with afaik no stock vesting.
How they even manage to get qualified personnel is beyond me, I would expect much more for a fintech with over 3B evaluation
I agree anecdotes don’t generalize and broad population screening sounds like a bad tradeoff. What I’m wondering about instead is risk-stratified situations: once someone already has elevated risk or prior lung disease and you’re imaging them periodically for legitimate reasons, incidental findings may carry much more signal than noise.
For example, people with prior tuberculosis often get periodic chest X-rays, not to screen the general population, but because their baseline risk is different. My dad had prior lung disease and existing imaging to compare against, which probably made the finding actionable rather than just another false positive.
So not “scan everyone”, more “the usefulness of incidental findings rises quickly once pre-test probability isn’t tiny”.