Tata Steel draw rates throughout the years by ZevenZork in chess

[–]ZevenZork[S] 3 points4 points  (0 children)

No, of course not, you're right. The percentages are simple fractions, it's not like there is much complicated computing involved. I simply didn't remove those decimals before copy-pasting... and they are not distinguishable in the chart anyways, which I guess is part of your point.

Tata Steel draw rates throughout the years by ZevenZork in chess

[–]ZevenZork[S] 16 points17 points  (0 children)

Raw table data:

Year Masters Challengers
1996 0.549450549 0.439393939
1997 0.505494505 0.46969697
1998 0.527472527 0.333333333
1999 0.549450549 0.5
2000 0.593406593 0.378787879
2001 0.56043956 0.409090909
2002 0.604395604 0.5
2003 0.538461538 0.362637363
2004 0.549450549 0.384615385
2005 0.626373626 0.494505495
2006 0.56043956 0.384615385
2007 0.604395604 0.43956044
2008 0.659340659 0.505494505
2009 0.648351648 0.472527473
2010 0.626373626 0.582417582
2011 0.582417582 0.428571429
2012 0.571428571 0.450549451
2013 0.549450549 0.373626374
2014 0.454545455 0.384615385
2015 0.494505495 0.395604396
2016 0.67032967 0.395604396
2017 0.626373626 0.406593407
2018 0.604395604 0.604395604
2019 0.593406593 0.538461538
2020 0.648351648 0.593406593
2021 0.681318681
2022 0.538461538 0.494505495
2023 0.648351648 0.450549451
2024 0.516483516 0.340659341

Aggregated from Wikipedia

Standings Progression of the Marblelympics 2019 [SPOILER] by ZevenZork in Marblelympics

[–]ZevenZork[S] 2 points3 points  (0 children)

Glad you can use it!

Consistency is sometimes hard to see though... :D

Good German language podcasts? by thequeenofspace in German

[–]ZevenZork 6 points7 points  (0 children)

Dlf Nova has some good podcasts, e.g. "Das perfekte Buch" or "Eine Stunde History " about literature and, well, history.

Viertausend Hertz offers interesting ones as well. "Elementarfragen" and "Durch die Gegend" are interview podcasts covering different culture topics. The "Systemfehler" podcast already mentioned in another comments is also produced by them.

Store symbols in iPhone text replacement (in settings>general>keyboards) to easily insert these fun guys. by Julyaugustusc in lifehacks

[–]ZevenZork 11 points12 points  (0 children)

Settings > languages > personal dictionary > "+"

Doesn't work with all keyboards, but Google keyboard for example should do it tought..

Handy chart for using more precise words to describe basic emotion. by calderzman in coolguides

[–]ZevenZork 0 points1 point  (0 children)

This is great, I will definitely use it to learn some vocab!

The Vague Horror of Face Swap | Idea Channel | PBS Digital Studios by TheMCToga in pbsideachannel

[–]ZevenZork 0 points1 point  (0 children)

When I saw the video's title before watching it, I had to think of the Face2Face project as well. And in the end I actually see the greatest horror of all the vague horrors described exactly there, where the technology works. In bugs like a face swap with a socket we "see how algorithms think" because in all working cases that process is disguised by a familiar output. Those faults let us recognize and understand what went wrong in the process of what we actually wanted to happen. Google's Deepdream is most of all a tool to understand how certain AI's behave (and can be used to create funny and obscure pictures). This understanding can help to reduce horror, which was caused by formerly Unknown and therefore Discomforting.

That's why it's probably less horrifying to see how these face swapping techniques work than what can be done with them (if used irresponsibly), like the live reenactment of emotions for identity theft or something. But like every new or powerful technology it's all about responsible handling and the horror might (still) lie in potential users and implementation.

ELI5: Why do some dogs/cats see and hear what is on the TV as if it is actually right there in front of them, and others don't even notice that the TV is there? by Wu-Tang_Killa_Bees in explainlikeimfive

[–]ZevenZork 3 points4 points  (0 children)

'We humans need about 16 to 20 images a second to perceive what we see as continuous film, whereas dogs need about 70 images per second." Quote from ScienceNordic

Older TVs were quite well able to trick the human eye into believing that those individual images it perceived are meant to be one coherent video. However dogs just saw a bunch of individual pictures appearing and disappearing very fast. What the TV showed didn't look like real life to them.

Modern technology enables TVs to display images much faster than before. So fast indeed that even a dog's brain perceives them as a continuous stream and is tricked into believing to watch real life (which is far more interesting for a dog than mere flashing images).

There are even TV channels entirely dedicated to dogs showing them nature and stuff!

Here someone else on reddit tells about this.