I remember my football coach being the shape of a 6’5" meatball. He used to make us do “burns” in the gym which was basically lift the weight I tell you to ask fast as I tell you to until I tell you not to and swap with your spotter. Then we would have to push the weighted sleds down the field where he would stand at the end zone behind us with a bat. We were to push the sled down faster than he could rub with the bat to get us. Fortunately for us his “running” was more like what you do to shimmy a refrigerator out of the cabinets around it. He did get us one time and we found out it was a plastic bat but the thing still fucking hurt.
gankouskhan
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Mine was arrested for asking the students to show theirs
gankouskhan@piefed.zipto
Selfhosted@lemmy.world•Keep Android Open (Stop Google from limiting APK file usage)English
0·2 months agoI guess at a certain point I just stop using electronics.
gankouskhan@piefed.zipto
Linux@lemmy.ml•Commodore announces Linux-based flip phone with ‘no social media, no browser’ — the Callback 8020 will be available in five retro colorways starting at $499, runs 99% of Android appsEnglish
0·3 months agoBetter experience in my pocket tho? Or calling emergency services?
bows thank you thank you. Glad about my efforts being well received, and even more so it got you out of bed! Cheers and may your day remain on the up.
Actually, after kinematic analysis of the required fingertip trajectories upheaves both of these arguments. If you calculate the aggregate spatial displacement across a standard 2D Euclidean plane for both input strings, the former macro sequence yields a significantly lower metric footprint than the latter.
For the sake of empirical demonstration, we can map this across a standard ANSI 100% layout using a normalized key pitch constraint where 1 U = 19.05 mm. By establishing a Home Row Idle-State Matrix as our behavioral anchor and tracking independent multi-finger vectors using the standard Pythagorean metric tensor—calculating the straight-line distance d = sqrt( delta_x^2 + delta_y^2 ) between consecutive keystroke coordinates—we arrive at the following quantitative breakdown:
Macro Sequence 1:
sudo [shift] !! [enter]- Single-Handed Vector String: 40.878 U
- Net Linear Displacement: 778.7 mm
- Dual-Handed Touch-Typing Matrix: 8.424 U
- Net Linear Displacement: 160.5 mm
Macro Sequence 2:
[up] [home] sudo [space] [enter]- Single-Handed Vector String: 40.989 U
- Net Linear Displacement: 780.8 mm
- Dual-Handed Touch-Typing Matrix: 21.728 U
- Net Linear Displacement: 413.9 mm
tl;dr
Fewer keystrokes != less work. Even though typing !! looks like more work, it isn’t because your finger travel distance is significantly shorter when executing those keys using two-handed touch typing on a standard ANSI QWERTY keyboard.
- Single-Handed Vector String: 40.878 U


If they can manage this and works with grapheneos as an auto headunit I would do be so excited. Or if I can just cast it basically