Putting myself in a suit

A useful usecase for nano banana. It is nice to iterate on my style like iterting on source code. This could be great for the next haircut, suit purchase, etc.

With clear marking and a nice fitting quote in the age of ai.

Other iterations:

Allgäu real estate vs s&p the last 30 years

 

I hear again and again, that the houses here gained so much value over the last 30 years. That may be true, but nobody thinks about the opportunity costs. Also, exponentials are non-intuitive.

We start with 100k 30 years ago. s&p returns 2mio, 22x return, real estate 876k, so 8.8x return (assuming you re-invest rental income. If not 375k or 3.7x).

Lets hope the s&p keeps going.

Year,SP500_EUR_Wealth,House_Wealth_TCO,House_Price_Only
1995,100000.0,90090.09009009009,90090.09009009009
1996,120259.99999999999,90348.64864864864,89189.18918918919
1997,157552.626,90135.48648648648,87851.35135135135
1998,199571.91135419998,90821.16628378378,87412.09459459459
1999,238548.30564167525,91957.52351351352,87412.09459459459
2000,214359.50744960937,93559.35014695946,87849.15506756755
2001,186407.0276781803,94227.88221702365,87409.90929222971
2002,142843.70530978957,94410.56892744442,86535.81019930741
2003,180525.87477051208,93624.8237708347,84805.09399532127
2004,196755.15091238113,93306.38064288226,83533.01758539144
2005,202657.80543975256,93448.38677277742,82697.68740953752
2006,230259.79854064688,94523.4567091014,82697.68740953752
2007,238387.96942913168,96554.51191187964,83524.6642836329
2008,146632.4399958589,99593.13919851821,85195.15756930556
2009,181017.7471748878,101204.17962815377,85621.13335715208
2010,204151.81526383845,105386.77199265065,88189.76735786664
2011,204151.81526383845,111859.90091671808,92599.25572575998
2012,231528.5736907192,120412.83117182789,98618.20734793438
2013,300061.0315031721,130821.98295740236,106014.57289902946
2014,334237.98299138347,142776.18619749692,114495.73873095182
2015,331798.04571554635,156527.12441908423,124227.87652308273
2016,363451.57927680947,172374.8746271339,135408.38541016018
2017,434033.87597236584,190678.0260830252,148272.1820241254
2018,406950.1621116902,211866.12089427272,163099.40022653795
2019,524477.3689295463,233245.19027596732,177778.34624692638
2020,609757.3891174906,255578.59502323743,192889.50567791512
2021,773721.1510511838,286475.63604272594,214107.3513024858
2022,623309.7592868337,300829.3928740446,222671.64535458523
2023,774337.7139620335,279426.1943225619,204857.91372621842
2024,954835.8350865834,276447.5602569827,200760.75545169404
2025,1111333.4284572743,295800.897082526,212806.4007787957

How whey is made

Source: https://www.youtube.com/watch?v=LeUZmojH7p8

1. Start with Milk, homogenize, pasteurize. It is 87% water, 5% lactose, 3.5% fat, 3.5% protein of which 80% is casine and 20% whey. So there is 0.7% whey in milk. Use around 10l milk for 1kg cheese.
2. Whey is a byproduct from making cheese which is made from the casine protein. You need to sperate that caseine from the rest of the milk. Add acid or bacteria that eat lactose and secret acid. Curdling happens and the milk gets firm as the casine separates from the rest, including the whey protein which stays in the water.
3. Now it is one big curd with all the other milk components trapped inside. Cut it in small pieces an press it. What comes out are the curds for the cheese and whey liquid.
4. The whey liquid contains protein, lactose and fat. 
5. Filter out the fat, lactose and minerals. Then dry it. You get whey

In short: Milk -> Filter out casine via curds -> filter out fat, minerals and lactose -> dry it -> whey powder.

smartphone holder bicyle

Factor 1.75: I assume 430 ckal/h on long distance cycling. 760 ckal/h on long distance running.

So I need to cycle 1.75 times long than running. I want to have the equivalent of 100km running. I would plan 12h for this. So I need to cycle 21h or about 500km. Nice, 12 to 21 is easy to remember. I need to consume 9000 ckal.

Maing capslock useful

tap to esc, hold with hjkl for arrows

git clone https://github.com/rvaiya/keyd
cd keyd
make && sudo make install

sudo systemctl enable --now keyd

cat /etc/keyd/default.conf
[ids]
*

[main]
# Create a dedicated navigation layer called 'vim_nav'
# Tap = Esc, Hold = Activate 'vim_nav' layer
capslock = overload(vim_nav, esc)

[vim_nav]
# Map hjkl to arrow keys
h = left
j = down
k = up
l = right

# --- Optional but recommended ---
# Map other useful navigation keys to this layer for convenience
# Example: Caps + u/i = PageUp/PageDown
u = pageup
i = pagedown
# Example: Caps + n/m = Home/End
n = home
m = end

sudo keyd reload

OpenWorm

Would be fun to work on. OpenWorm.