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ryanjamurphy

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Just jumped to HN to share this post and saw that OP had raced me to it. Stéphane's reflections are heartfelt and well-written and, despite his melancholy, compel me to join him and keep building, too.

The bit about the pigeon's name was funny, too!

I love myNoise and hope it continues forever. Guess I'll donate again soon!

Would love to hear a few of the consistently-high-quality writers you're thinking about.

I have a pet theory that volume is required for quality, but would love to be wrong so that I can feel less bad about how much I publish!

There's an ethical/moral-luck dilemma at the heart of this.

If a AAA-tier podcast on the subject you want to listen to a podcast about exists (and you know about it), then that's probably a better (and obvious) choice for your listening time.

However, if you want to listen to someone discuss or explain something and you don't know about a AAA-tier podcast, it's possible that a generated podcast is better than nothing.

On the other hand, it's also possible that the generated podcast will miss or hallucinate a key detail, and herein lies the dilemma. Is it better to listen to something that might get something wrong, or not to listen and perhaps someday to learn about the subject through some other form that is less likely to include mistakes?

But it’s also a bit quaint, these days. To your typical 21st century epistemologist, that’s just not a very terrifying dilemma. One can even keep buying original recipe JTB [...]

Sorry, naive questions: what is a terrifying dilemma to 21st century epistemologist? What is the "modern" recipe?

I suppose the extreme version of the parent comment's vision would be to develop entirely new neurological circuits that can process, interpret, and integrate some arbitrary new source of data in the world. I agree that that's kind of unimaginable now, but give infinite monkeys infinite typewriters and one of them will probably hook up the company's sales data to a new section of cortex just to see what would happen.

I read a more interesting takeaway, perhaps: that we can — and do — develop new "senses" for any given signal we can perceive. A possibly-shoddy example of this is what social media does to us: the social networks provided everyone with a novel social sense, and indeed everyone who uses social networks perceive and attenuate to that sense in different ways.

This has practical implications: given that we don't have infinite cognitive capacity or even much moment-to-moment bandwidth, we should be careful about which of these digital senses have our attention.

There're obvious links here to "augcog" (augmented cognition; [1]), but also I feel like Ackoff's five assumptions about "management misinformation systems" are relevant somehow[2].

Interesting to think about!

[1]: Especially DARPA's work and similar — https://en.wikipedia.org/wiki/Augmented_cognition#DARPA's_Au... [2]: https://www.jstor.org/stable/2628680

The important thing I take away from this comment is that before you choose what to read, it's crucial to be able to identify which readings contain the most useful and valuable takeaways that are worth the effort of reading them. It's true that modern mental models of reading and writing train us to only seek out the stuff that's easy to read, but the real problem is that there's so much to read that we have to prioritize, leading to a tendency to read the easy stuff because it's a guarantee you'll get something out of it. Then there's a sort-of market dynamic leading to the success of the easy stuff and the dismissal of the hard.

If that dynamic means that we miss out on the readings that are truly transformative, we've lost. So perhaps the strategic differentiator between readers is to actually have a really powerful theory of prioritization, and useful mechanisms to prioritize (such as the curated references of a good university course or a social network that shares only the most important resources, regardless of how difficult they are to understand).

SteerMouse 2 years ago

Thanks for this recommendation. I've tried SteerMouse and other alternatives in the past and haven't stuck with them (can't recall why exactly) but would dearly like to get away from Logitech's software.

It can be the great filter that leads to the Fermi paradox.

I'm increasingly of a similar view — that the great filter is something we're already past, due to the incredible combinations of constraints that led to where we are today.

Another infinitesimal probability may be the development of abstract intelligence. The conditions that led to our brand of intelligence being an evolutionary advantage seem particularly unique: https://www.ncbi.nlm.nih.gov/books/NBK210002/

It doesn't respond to the 2016 address, but this site [1] has a table of many of Christy's claims and evidence against them.

A central graph in the 2016 address (found on page 2) has numerous visualization issues (e.g., misalignment of the lines on the graph to exaggerate differences, no uncertainty ranges are provided, averaging data sets in the curves, leaving out data) [2].

[1] https://skepticalscience.com/skeptic_John_Christy.htm

[2] https://skepticalscience.com/climate-models-intermediate.htm

I like "IANAP." Folks should always try to engage professionals when they can. Articles on the internet help you to know what you don't know, but if you think something might be an issue for you, connect with experts on it.

Re: visualization — it's a problematic trope that imagining success helps. Apparently visualizing failure, and especially the consequences of failure, can be more motivating. Andrew Huberman provides a pretty good summary of recent research on the subject.[1]

[1] https://www.youtube.com/watch?v=t1F7EEGPQwo&t=3573s

Admittedly I can only speak to the merits of Kumu. I was never really trained in system dynamics, more systems thinking, so that plus the wild expense of most SD software means that I have never really given them a chance.

The other reason I can't compare them is because once I tried Kumu, I never looked back. Kumu is wonderful. It looks simple enough, but once you dig into the advanced features and the extensive documentation, you can really learn to do amazing things with it. I've used it for many years now for many clients.

But see again point 1. It isn't made to be a systems dynamics modeling tool, so simulation and analysis features you might expect to find might be missing.

My suggestion is to choose a problem to work, create a free model, and start messing around. My guess is that you'll find Kumu great for initial sketches and non-dynamics models, but you'll probably want to go elsewhere for simulation work.

Author here.

I hear ya on the rendering. This systems sketch was by me, for me, but I published it with minimal effort just in case it might help someone else. It probably would've been better just to publish a link to the model than to embed it, though.

As for the content, it's ad hoc, albeit not entirely without evidence. It's based on a bit of self-study (e.g., autoethnographic observations of my own thoughts and behaviours and passive reading of the psych literature on procrastination).

The centrality measures shouldn't actually be there... Long, boring story short: they're an artifact of some systemic leverage analysis [1] I was doing on a more involved model[2].

Last, I'd love to see those cognitive models. From what I've found, we understand a great many of the pieces of procrastination, but it still takes work to put them together for any one person's situation.

[1] http://openresearch.ocadu.ca/id/eprint/2888/ [2]: https://embed.kumu.io/fc78b8660224a57734e0bb6c52cebbd8#anxie...

I hear you on this one. Having a kiddo is what helped me realize I needed to take my procrastination issues seriously.

Still, while I thought it'd be a major driver for more responsible behaviour, it didn't give me any solutions, and I didn't magically stop.

Alas, procrastinating by playing with the kiddo sure is fun!

Maybe you're experiencing the stage of emotional disregulation beyond fight or flight: freeze.[1]

I have been trying to actually take a real break when I get distressed.

Say you've been procrastinating for an hour, and you only have another hour before you need to stop for the day. In the moment, it feels like you can't "waste" fifteen minutes on a break because you just wasted an hour. Truth is, though, it's better to spend fifteen minutes doing something to calm the emotions down and then get a productive 45 minutes in.

It takes practice, but like all good habits, the benefits compound over time.

[1]: I really like Sarah Schlote's work explaining interoception of stress and emotional regulation. https://equusoma.com/the-ponyvagal-theory-updates-to-the-neu...

Hi HN! Exciting to see this model get some attention.

Admittedly, it is mostly a sketch. I created this model in self-study but published it just in case it might help someone else. As Brené Brown says, I'm trying to get it right, not to be right.

Still, I think there's a few key insights here:

1. As other replies have suggested, this model might not fit you. Procrastination is an umbrella term that describes a variety of issues, and sometimes those issues interlock! If you're struggling to match intention with action, find your model. Also, talk to a counsellor. They really help.

2. Systems sketching — in combination with self-study of our thoughts and behaviours — is a really interesting way to understand our own cognitive-behavioural problems. In my case, I sketched this model after realizing for the first time that anxiety might play a role in my procrastination behaviours. It helped me see how powerful that role really was.

After creating this model at the beginning of 2022, I engaged a counsellor and have been doing a lot more self-study. A work-in-progress on a far more involved (and idiosyncratic) model is available here: https://embed.kumu.io/fc78b8660224a57734e0bb6c52cebbd8

(Oddly enough, this was shared about 24 hours after I finished a research paper on all this work. I'll share that via my blog if and when it gets accepted by the destination.)

Thanks for a rich discussion — and thanks Kumu team for addressing the traffic spike issues.