This has not been my experience with my FW16. I also have an XPS for work, and had a Gigabyte Aero before that, but I would hands down take the the FW16 over the XPS 9510. While the XPS doesn’t have any major issues running Linux (though I am unhappy with the trackpad), I haven’t had any issues running Linux on the FW16 either, and I absolutely love having whatever ports I want available. I really missed the great port selection I had on the Aero, which made the XPS painful for me to use (I am so sick of dongles). I use my FW16 for a bunch of different requirements and have a ton of ports for it: ( 4x Ethernet, 3x USB-A, 3x USB-C, 2x HDMI, 2x DP, 2x MicroSD, 2x 3.5mm). Being able to reconfigure on the fly for whatever my workflow is for the day has been great.
Also, something that really galls me about working on the XPS series vs. the Latitude series, is that even though the XPS is supposed to be the premium line, the Latitudes are much nicer to work on. For example, Latitudes have captive screws on the back cover whereas the XPSes don’t, and they also have razor sharp un-polished edges on the covers (always great to have to clean the blood off your motherboard traces before you can power it back on. )
As for the display issues, I can’t speak to that because I use Hyprland and don’t have a DE, but don’t see any issues.
This is true, but it wouldn’t actually be the first time that an arbiter gave an unfavorable result to its employer: https://youtu.be/u9Jmi9BOBNA?si=mOEPKERF8Z8YFrOi&t=8m38s
In my fantasy timeline this is forced to go to arbitration but the arbiter actually is a human being who is so outraged at the circumstances that they award the entire net worth of the Disney corporation as damages in a legally binding non-appealable decision.
ATAK-Civ originally developed by the U.S. Military for tactical use on Android phones. It was open-sourced and released on the Play Store several years ago.
Yes. I think that this is the concern of everyone who is genuinely interested in fair competition. While I’m sure that some people are triggered ( in both directions ) by the transgender debate.
I mentioned in another thread that I think the simple solution to this is to not define divisions by gender, but to simply measure testosterone and have a high-T “open” division and a low-T division. This is where the perceived competitive advantage lies and sidesteps the whole gender issue entirely.
Simple solution to all this: We don’t have divisions based on gender. We simply measure testosterone and have a high-T and low-T division. Anyone can compete in the high-T but high-T can’t compete in the low-T division.
He should definitely be wearing orange, just not Netherlands Orange…
I’ll probably get down-voted to oblivion for asking, but continuing this train of thought: If a woman gives birth to a baby and simply walks away, should she be charged with a crime?
If not, why?
If so, why?
There are plenty of examples of this, so it really isn’t thoeretical.
The ironic thing is that if the US government wanted people to stop using it because of the PRC, they should have just leaked some fake Snowden style documents saying that the NSA was using it. Everyone would drop it like a hot potato then.
This is like survivorship bias, but in reverse. Obviously almost everyone who killed themselves with a gun had access to a gun, but this doesn’t mean that they wouldn’t have committed suicide by some other means if they didn’t have access to a gun.
This is something that is impossible to determine scientifically. If everyone in this study group killed themselves with a gun, how many of them would have not killed themselves if they didn’t have a gun? They can’t un-kill themselves and let us take away their guns so we can determine the effect.
What this study shows is that a gun is likely the first choice of gun owners who are trying to kill themselves. It cannot determine how much less likely they would have been to kill themselves had they not owned a gun, if at all. Intuitively I do believe that it would be less, because other means are likely more difficult, slower, or less effective. Whether this would result in slightly fewer suicides or much fewer I do not know, but this study doesn’t prove either.
How is it that legislatures can pass tax law which use %s that automatically scale with income/sales/property values, but they can’t figure out a way to pass wage laws that use %s to automatically scale with COL/inflation? Imagine hardcoding a taxable $ amount, and then not updating it for 30 years…
I know I’m about 6 months late with this, but this is all I could think of when I saw this:
Why don’t we just… wait here for a little while… see what happens?
22 Many will say to me on that day, ‘Lord, Lord, did we not prophesy in your name…23 Then I will tell them plainly, ‘I never knew you. Away from me, you evildoers!’ Matt 7:22…, 23 NIV
I think I have a solution, hear me out: The penalty for missing a mandatory vote is you don’t get to vote.
It has been my experience working with FOSS that if you really want a bug fixed, or a feature implemented, it is best to take the following steps:
I have had a 100% success rate with these steps.
The thing people do no appreciate about professional and Olympic level sports is just how far the male athletes are beyond the athletic ability of the average man.
There seems to be a notion that just because someone is a male they get to compete at the highest level of sports. This is simply not the case. The vast majority of male athletes will never even come close to reaching a professional level. Even an above average male college athlete has a snowball’s chance in hell of making it in a league like the NFL.
When we are talking about women competing with these men, we aren’t talking about competing against men with average or even above average ability (professional female athletes would mop the floor with men in the 60% percentile) we are talking about competing against the top .000001% of male athletes.
Women not only have a biological disadvantage, they have a population size disadvantage. Far more boys and men compete in sports and games. I don’t care what game or sport you are competiting in, if you have population A containing 100 randomly selected competitors and population B containing 1000 competitors, you don’t have to be a statistician to figure out that your #1 competitor and probably your entire top 10 are going to come from population B.