295 karma · joined May 11, 2019
Firstname@lastname.eu
https://github.com/lytefm https://linkedin.com/in/fynn-leitow/
I automatically read it with a bit of tongue-in-cheek but with some valid points, not as "this is the ultimate life advice".
[1] well not really. Times truly have changed.
> A tired, irritable, unskilled player is not appealing, and probably shouldn’t be looking for a relationship.
It's obviously an exaggeration, but it has a fair point. Applies mainly to young men, less to young women though because they play quite a different dating game.
Working hard on becoming attractive rather than expecting to get interest from women "because you're such a nice person" isn't bad advice. Of course you should still try, but without expecting much.
> See how psychology just helped you become both rich and attractive?
It's even better. Learning just a bit about psychology, understanding yourself and others is also useful for:
- overcoming bad times and habits - helping yourself and others - feeling better overall - solving conflicts - making friends - figuring out what to do with your life
Psychology is probably the best meta-knowledge to have.
The overall game metaphor is quite nice and useful, also in relation to what the author writes about "fairness" [1].
[1]: https://oliveremberton.com/2014/the-problem-isnt-that-life-i...
> This habit loop has a cascading positive effect.
"The power of habit" is a great book on how to establish good habits. I no longer need willpower to do sports in the morning unless I'm completely trashed. Once something truly is a habit, it doesn't take willpower to do it anymore. It rather takes effort to deviate from it.
> This was a perspective that I could not see while I was in the situation, but as I've gained more critical distance, I've started to realize that lack of willpower was not the primary problem.
Taking a step back when finding a situation awful or feeling bad is also a helpful habit.
I wasted way too much jet fuel due to my own cognitive biases and emotions. Usually it's so much better to simply raise that issue with that friend, colleague or partner than to swallow things down and try to power through.
I'd guess that some traits (e.g. being very individualistic, competitive or narcissistic) might only emerge in more settled societies where wealth can be built up and inherited.
At least Richard Rohr mentions this as anecdotal experience in his book about the Enneagram.
True, for many people 49€/ month is still too expensive - e.g. low wage, low pension or living on welfare.
In its current form, it's mostly a relief for the middle class living in areas with good public transportation.
I'm definitely happy to pay just 49€ for all over Germany instead of 80€ just for Berlin. I'd be ready to pay more and think it would be fair if the amount was tied to the taxable income, like union memberships are.
- child support money
- free public health insurance
- private insurance is often also related to „kids being in education“
Especially if the kid under 25 just wants to travel around, play fortnight at home or work on the next big thing.
My bachelor programme (maths + cs in a small German city) pretty much only exists due to that. Great student/tutor ratio because most only enroll for the student status (low fees, no public transport ticket).
Few people in the upper middle class and above will use public transport instead of their car, if it's provided by their employer.
The results from the 9€ Ticket also indicate that people aren't using their car that less often. They are just using the ticket to do additional journeys [2].
But I suppose that having this ticket available for longer than 3 months will motivate some households to get rid of/ not purchase a second car. Also, it will probably convince younger adults in metropolitan areas (like me) to not buy a car - or to delay it until it's needed for family reasons.
[1]: https://www.exberliner.com/politics/red-flag-why-we-should-b... [2]: https://www.iamexpat.de/expat-info/german-expat-news/9-euro-...
Intuitive feelers ("artist types") often clash with observant thinkers ("engineer types") according to the theory and I've experienced this a lot, too.
Fumbling around with credit cards or IBAN numbers + having your banking app fail randomly when trying to authorize payments is annoying. PayPal just works. Also, if you're some random shop on the internet many customers prefer to pay via PayPal rather providing you banking details or credit card numbers.
> That or give the option to accept the counter party risk for failure of transfers.
In Germany, merchants frequently offer to be paid by IBAN in advance or by invoice after the delivery. No fees, but the risk is fully on one side.
> And there surely is signing methods that one could do as an escrow like service to mitigate most of the fee.
PayPal basically acts like an escrow with their buyer protection policy. If you find another provider, good luck convincing the customers.
Women and men have completely different attractiveness trajectories and „what's at risk” when having sex.
The article correctly argues that societal changes made it a lot more difficult for young men to find a romantic partner:
- No pressure to marry early in your twenties as a woman. Instead, it's even expected to „have some fun“ and marry later.
- Dating apps and a more individualistic society make it easy for women to find a mate outside of their social cirle.
Unless they've been doing exceptionally well (e.g. are physically fit, have a good status in their peer group, a well-rounded personality and make some money), men in their early twenties don't have a lot to offer to women of their age. On the other hand, women are usually in their peak attractiveness in early/mid twenties and can easily select an older partner.
Anecdotal experience also confirms that. I'm in my late 20s, my GF in her early twenties. She had no serious interest in anyone from her school year. We met on a dating app. Quite a few of my similar-aged friends who had very litte luck with women found a romantic partner once they've finished their degree and earned some money.
I think it's already happening. Fully autonomous cars or a Bing-like AI that is actually reliable are probably still decades away, if ever possible.
Instead, AI related companies are already pivoting towards enabling and assisting humans for specific use cases.
E.g. „We'll have LIDAR-based crash prevention and assisted driving in most new cars by 2030“ instead of „We'll have fully autonomous driving within the next years“ or „This AI based tool will reliably summarize key investor information from quarterly reports“ instead of „Ask this AI anything“.
I'd say the dotcom boom was quite a bit like it:
- Completely overvalued companies without any real utility scamming investors claiming to revolutize X by doing it "on the internet".
- Evading regulation and breaking local laws, playing cat and mouse with law enforcement (e.g. Napster, Megaupload).
But yeah, unlike with crypto there were also more reasonable use cases.
Dark energy is a whole different story and seems more like the epicycles of the heliocentric model: Adding a mathematical hack in order to fit the model into the data.
I'm remain curios about stationary universe model proposed by Peter Ostermann [1] which can explain the SNe-Ia data with homogeneously distributed dark matter and without a need for dark energy. Also, it is a lot more elegant and "Einsteinian" than the concordance model.
Such an AI assistant would know me extremely well, keep my data private and help me with generating and processing thoughts and ideas
Automatisch would be interesting for me exactly due to:
> It allows you to store your data on your own servers, which is essential for businesses that handle sensitive user information and cannot risk sharing it with external cloud services. This is especially relevant for industries such as healthcare and finance, as well as for European companies that must comply with the General Data Protection Regulation (GDPR).
But automatisch.io doesn't include any data protection policies despite advertising a paid enterprise offering on their website and asking for data in a typeform. Also, there is only a copyright symbol without any link to a legal entity.
If it was just a non-profit open source package, I'd still look into it. But as it is, the website screams „don't touch this with a ten foot pole“ from a perspective of someone who is supposed to be the target group of your product ;)
This is what I aim for, too. Seems to be working fine for me. Some tips for OP:
- Try to get a lot of informal chats with relevant departments. Being in the office or at events s.t. you can join conversations + talk face to face helps.
- Be a „yes man“ whenever other departments have some technical issue that needs to addressed. Or even if it's nothing technical.
- Think more from a business perspective during technical planning and implementation. Does it really create value to code more than the most basic MVP here? Do we really need that fancy technology and scalability?
- Get good at communication and soft skill in general. If you're smart but „difficult to work with“, you'll end up doing mostly specialized work.
- Get good at note taking and knowledge management. Where was that link to the product roadmap that was shared two months again? What was the context for that design decision two years ago? It's useful if you're able to answer questions like this with your notes.
Luckily, there is this: https://github.com/everythingishacked/Pants
If they are actually smart as in „intelligent, humble and curious“ they'll understand and adapt.
During my first two years as a developer, I was also in the „a double for-loop? Not under my watch!“ - camp and wrote a lot of „clever“ code that often was a waste of time or even caused problems lateron.
With experience + reading more about software engineering „in practise” as opposed to „in academic theory“, I learned to prefer solutions that don't use many layers of abstraction, are simple enough for a junior engineer to understand, easy to maintain and actually add value for the business.
A smart engineer knows that engineering time is limited and expensive - and acts accordingly.
You're pretty much correct:
The most relevant contraindication for any kind of fasting are eating disorders like anorexia. Also, don't try out fasting if you're taking metabolism related medication without consulting with your doctor.
A lot of research suggests that most lifestyle diseases that are prevalent in the developed world (like obesity, diabetes, heart attack, even some types of cancer and possibly also neurodegenerative diseases like Alzheimers) can be prevented and sometimes treated with a dietary intervention.
The optimal diet seems to be whole foods and mostly plant-based (though some people seem to thrive on meat) with occasional fasting periods.
It makes a lot of sense from an evolutionary perspective: Our ancestors didn't have all that sugary and industrially processed food and often spend extended periods fasting and searching/hunting for food. Processed foods highjack our preference for calorie rich, sweet and savory food but are often deficient in nutrients.
IF on the other hand doesn't require you to eat less calories than your body requires. Skipping breakfast works pretty effortless on the long term.
If you don't eat for about day (or longer), the short-term glucose storage will be depleted, ketosis starts and you'll actually feel hungry - though it usually fades once the body adapts to breaking down fat and proteins.
Having an empty, possibly even grumbling stomach or feeling appetite/ craving for sugar isn't hunger. I can recommend trying out to fast for a couple of days in order to experience the difference. I've kinda intuitively shifted to intermittent fasting afterwards and usually don't have any urge to eat food until after noon.
- Processing emotions via creative writing. I tend to write songs, others might prefer poems or stories.
- Learning a lot about psychology. No matter how weird your issues are, most likely you'll find some helpful resources online.
- Self acceptance and self-authoring. We tend to tell ourselves pretty dumb and limiting stories about ourselves.
- Guilt free play time. Not trying to always be productive.
- Setting and enforcing boundaries in private and professional life.
- Listening to music and podcasts that resonate with me.
And of course basics like proper sleep, food, exercise, relationships. I don't watch TV, I don't use social media. That probably helps, too.
Training and tweaking models looks like the easy part of developing data driven products. Hiring compenent enough people also seems easier than for software engineers.
Many ML libraries produce good enough results without having to design elobare models myself. I see data science more as yet another tool in the belt of a a software engineer - like server admin, CI/CD, IaC, databases,...
I guess it's often not malice, but rather "we have no clue in which SaaS we might have your personal data, don't want to drop everything for a week in order to figure it out and simply hope that you won't sue us if we don't reply".
So if you want to screw over an early stage startup:
1. Buy their product, use everything on their website where you can leave your personal data (newsletter, chatboxes, send an email,...). Document the requests that are made. 2. Request your data according to GDPR. Preferably by mail. 3. Take a lawyer and sue them if you find any inconsistencies. 4. Rinse and repeat until they've either fully automated the process or are out of business.
- Introversion: useful for working on the kind of technical tasks outlined in the article instead of preferring to work with other people (apart from the customer success example).
- iNtuitive: coming up with out of the box, ad-hoc ideas to solve whatever new challenge is there.
> When there’s a need for innovation or a different perspective, people with Intuitive personality types can usually step up and provide a new direction. Practicality can sometimes be overrated, especially when a situation calls for serious change and “coloring outside the lines.” [1]
- Feeling: Yeah here I agree that „Thinking” types would suit better according the core theory. But when put in contrast to INTJ, I think that's the dimension which can cause someone to become a wildcard in the first place instead of a specialist: wanting to help everyone else in the company rather than focusing on more clearly confined problems for a long time.
> morale killers for these personalities may include strict rules, formal structures, and routine tasks. They may find it especially dispiriting when they’re asked to redo their work, particularly if it’s for a reason that just doesn’t seem valid to them. [...] At times, efficiency may be less of a priority for Advocates than collaborating with and helping colleagues who need a boost. [2]
- Jugding: I agree that „Prospecting” suits better according to the theory.
So overall, INTP seems to be better suited by theory. But in practice, INFJs are also drawn to the wildcard role and can get quite good at it.
[Edit]: Re-reading the article, especially the „wildcards in summary“ part is a very close match with „infjs at work“ (unknown challenges over routines, importance of impact, creative and independent problem solvers)
[1] https://www.16personalities.com/articles/energy-intuitive-vs...