Chameth.com - posts like curse-of-knowledge-blogging, debugging-beyond-the-debugger but not migrating-from-github-to-forgejo, why-you-should-be-using-https

Blogging and the Imaginary Quality Bar

2025-09-18T00:00:00Z

Recently I realised that I’ve developed a self-imposed quality bar for blog posts. They need to be a certain length, and have a certain substance to them. They need to be generally useful in some way I can’t quite define, to some imagined future audience. They need to have images to break up the page, and opengraph data for when they’re linked to on social media. But… maybe they don’t? Those things all make sense for longer “article” type posts, but not so much for a personal blog.

I’ve done some fiddling so that I can make posts without all that extra stuff. We’ll see how it goes. The posts won’t be distinguished on the site (yet?), but I have set up separate RSS feeds for just short form posts and long form posts in case subscribers are radically opposed to one or the other. Now I can start blogging like it’s 2005 again. But hopefully with a bit less cringe.

I’ve been staring at this post in my editor for about five minutes. The urge to make it longer, more thorough, more article-like is really strong. This entire paragraph is only here as a compromise with myself so I can actually save and commit the post.

If all you have is a hammer…

2025-06-18T00:00:00Z

This, dear reader, is a hammer. It is almost entirely irrelevant to the article. Enjoy.

I presume everyone is familiar with the idiom “if all you have is a hammer, everything looks like a nail”. If not, well, there it is. It’s generally used pejoratively about being single-minded, but I think it also gives a glimpse into something more interesting: mental and perceptual sets.

Before I explain, let me tell you a story about a person who bought a 3D printer¹. When they were first thinking about getting one, they weren’t sure if it was worth it. They could print a few board game accessories, but then what? After they got it, though, a whole new world opened up: everywhere they looked there were opportunities to improve things by adding 3D printed plastic. Broken appliances were repaired with 3D printed parts, all sorts of shelves, organisers, hooks and other things were made. But when they talked about this to other people, most often the response was “That’s nice, but I don’t think I’d use one”. How could they not see the truth in all its glorious layer lines?!

The answer is in the concept of a ‘set’², and instead of trying to explain it, I’m just going to quote Wikipedia:

In psychology, a set is a group of expectations that shape experience by making people especially sensitive to specific kinds of information. A perceptual set, also called perceptual expectancy, is a predisposition to perceive things in a certain way. […] A mental set is a framework for thinking about a problem. It can be shaped by habit or by desire. Mental sets can make it easy to solve a class of problem, but attachment to the wrong mental set can inhibit problem-solving and creativity.

This perfectly captures what happened. They’d developed a ‘3D printing mental set’: a predisposition to see problems that can be solved with their ~~hammer~~ 3D printer. Once I started noticing this pattern, I started seeing it all over the place.

Sets at work

Aside from the “could this be improved with some 3D printed plastic” perceptual set, I’ve noticed a couple of other sets: DIY, and writing puzzles.

DIY is probably the most obvious one. Once you become a little familiar with the basics of what you can fix and how, it seems like you start noticing the opportunities more. Before, you might have ignored that loose door handle, but now you notice it and realise with a screwdriver and a sex bolt³ you can fix it and stop it coming loose again anytime soon.

As you do more things, you build up your set of mental sets as well. You learn how to attach things to different types of walls, how to safely work with electricity, and so on, and suddenly installing a new outside light goes from a seemingly complex job to just exercising some of those concepts you’re already familiar with.

This works across ‘disciplines’ as well: I wanted to automatically cool a room down, using a fan in the window to blow in cool air. The 3D printing mental set gave me a way to make it physically go where I wanted it to, the home automation set gave me a plan for how to automate it, and the electricity set helped me figure out how to wire in the relay. It sounds a bit stilted when I spell it out like that, but the catch is I didn’t have to sit down and work any of this out. I was already primed to think in a certain way. I had a whole selection of hammers, and could pick the right combination of them to beat this particular nail⁴.

Puzzles are a bit different. I enjoy taking part in puzzle hunts⁵, and at first I was bewildered at how the authors came up with all the puzzles. After I started thinking about writing some myself, though, I began to notice all kinds of things that could maybe be turned into a puzzle: a specialised database, or a song with repetitive lyrics, or set of things with unique ID numbers. Writing the actual puzzles is still tricky, but once you’ve equipped the “look out for puzzle material” perceptual set it’s much easier to gather a range of ideas.

For example, one puzzle I wrote came about because I stumbled upon Sir Patrick Stewart’s Cowboy Classic Sampler⁶. I think everyone will agree that it’s a fairly unique collection. I tied some samples of the songs together with some screen captures of Sir Patrick as Picard in Star Trek: The Next Generation, and puzzlers had to find the season and episode numbers of the pictures, then use those numbers to select a track and a word from that track in the audio mix. Those words spell out a question, and the answer to that question is the answer to the puzzle.

There were other hints mixed in to point you in the right direction, it wasn’t quite as opaque as it might sound! But the point is without being in that “puzzle finding” mindset when I came across the album, there’s no way I could have come up with that puzzle. Like with the fan, I was primed to think a certain way, and managed to create something I otherwise would have struggled with.

The curse of noticing things

Figuring out how to make stuff isn’t the only place sets appear, though. Perceptual sets are about how we perceive things. When you read something with lots of bullet points, em-dashes, and the word “delve” do you automatically think it’s LLM generated?⁷ Then you have an LLM text perceptual set! It’s kind of annoying, as it’s difficult to “turn off” and stop noticing these things once you’ve seen them. Similarly, I think I have a “bad grammar” set. I know it doesn’t bother a lot of people, but if I’m reading a book and there’s a rogue apostrophe it will throw me right out of the moment. It’s like tripping up when walking and being torn out of a daydream. There’s some use to these — being able to notice grammar errors easily helps with my writing — but for the most part they’re a negative input: they point out things are broken or bad.

The “edge case set” takes this to another level. After about 20 years of writing software⁸ I have a finely honed ability to spot problems. Give me something to implement and my brain will immediately rattle off all the different edge cases and under-specified parts. Then some other bit of my brain gets the job of deciding which we actually care about, which are worth raising, and so on. It’s definitely useful to spot them up-front, rather than when you’re deep in the weeds implementing something, and tends to make everything go a lot smoother if you can hammer the major ones out when planning work. It doesn’t turn off after work though; it comes up when reading board game rule books, or descriptions of the magic system in fantasy novels, or news reports, and so on. It’s a lot less useful then.

Speaking of news reports, here’s a fun one: Gell-Mann amnesia is a cognitive bias where even when you critically assess media reports about something you’re knowledgeable about (say, technology), you continue to trust similar reporting in other areas (say, medicine). But once you know about Gell-Mann amnesia, you might start to actively notice when it happens. You scoff at the article about how the Internet is a “series of tubes” and then start reading the next one about a cancer treatment, but — wait a minute — your Gell-Mann amnesia set kicks in. I’m not sure what you then do with this information. Dismiss basically all the media and news as useless? It’s honestly pretty annoying.

The meta set

I’ve had this blog post on my ideas list since I first noticed the “3D printing mindset”. I didn’t know sets were an actual thing, and I didn’t have most of the examples I do now. As time went on with this idea rattling around in the back of my head, I started noticing the patterns come up more and more. There’s lots of more examples I didn’t include because I didn’t want to just write a listicle of mental patterns. But the fact that I noticed them all seems to mean that I’ve developed a set set, or a meta-set, if you will. It’s fascinating to think about how all this happens inside our mushy bag of neurons, but also a bit terrifying. If thought processes are that malleable, what stops you accidentally breaking them? Actually, thinking about things like Q-Anon, flat earthers, and a lot of contemporary “politics”, maybe that’s quite easy to do?

Image credits

Photo	Creator	Licence	Source
Hammer	Ian Talmacs	Unsplash License	Unsplash

Surprise! I am that person. Bet you didn’t see that coming! ↩︎
I feel like they should have consulted the mathematicians and/or computer scientists before they picked a name. ↩︎
Yes, that’s a real thing. No, I won’t ever use any of the alternative names for it. ↩︎
OK, I’ve strained the metaphor enough. I’m sorry. I’ll stop. ↩︎
If you’re not familiar, a puzzle hunt is a competition where you try to solve puzzles faster than other teams. The sort of puzzles involved are perfectly described by this quote from Mike Develin: “Imagine a word search. Now imagine you aren’t told what words to look for. Now imagine you aren’t told it’s a word search. Now imagine it isn’t a word search.” ↩︎
Go and give it a listen. I’ll wait. ↩︎
I hereby certify all my em-dashes are hand-crafted. Relatedly, Claude Code keeps writing comments that use hyphens when they should actually be em-dashes. Maybe they’ve trained it to avoid them? ↩︎
I just made myself sad by working this out. I still feel young at heart! … Or maybe that’s cholesterol? ↩︎

The Curse of Knowledge and Blogging

2025-05-16T00:00:00Z

Finding a picture to go with a blog post about blog post ideas is hard, OK?

The single worst part about blogging for me is trying to come up with ideas for what to write about. Not because they’re hard to come up with, but because every idea seems too basic or not worth talking about. Seems.

It’s not just me, either. My friends will occasionally describe some interesting problem they’ve dealt with, and I’ll chime in with “you should blog about that”. Almost invariably the response is something like “it’s not that interesting”.

There’s a cognitive bias called the curse of knowledge¹. Basically, once you know something you can’t accurately reconstruct your previous state of mind from when you didn’t know it. You can struggle to do something for hours, piecing together scraps of information, using all kinds of specialist knowledge, and as soon as you’re finished it all seems so basic why would anyone want to read about that?

Other mental obstacles

Of course, nothing involving people is as simple as having one cause and an obvious solution. Even when I get over the “it’s too basic” road bump, there are other issues. Looking back over some of my posts, I get a horrible cringe-y feeling and the question of “why would anyone be interested in reading that?!” arrives unbidden. Even though I know that I’m interested in reading similar posts written by other people. I’m hesitant to attach labels to everything, but imposter syndrome says hi.

I think there’s also a cultural issue at play. British people tend to be somewhat reserved and downplay their accomplishments, especially when compared to people from the US². When I worked for a certain multinational ~~ad conglomerate~~ search engine company we actually had training on how to do performance reviews and speak about ourselves more like our US counterparts.

Put all these things into a cauldron, add a lizard’s leg and howlet’s wing, mix it all up, and you get a brain that despises the idea of blogging about anything. Great.

Dealing

So, now the problem is well-defined, what do we do about it? Clearly I am the best person to be offering this advice, given it’s been four months since my last blog post.

The best counter to the Curse of Knowledge that I’ve found is keeping notes, like a lab notebook. If you finish something and have dozens of links to different resources that you had to piece together, it’s probably something interesting and worth talking about even if it doesn’t seem like it any more. Or maybe you didn’t need a lot of references, but you had to write a lot down to make sense of something, or needed to draw diagrams to solve a problem. Again, probably interesting.

The other issues I’ve mentioned are not so easy to overcome. I’m also not going to try and perform therapy in the form of a blog post! What I personally do is keep a list of topics to write about (that have already passed the “probably interesting even if my brain doesn’t agree” check), and occasionally when the stars align I’ll feel like plucking one off the list and turning thoughts into words.

A call to action

If you’ve got a blog and haven’t written anything recently because you “don’t do anything interesting”, go write something! I promise that someone will be interested. Hell, feel free to send me a link and I’ll be interested for you.

If you don’t have a blog then why not start one? There are lots of great articles out there about why-you-should and how-you-can. And as a bonus, blog posts about how you set up your blog are super interesting. That’s one post sorted already!

As the open internet is slowly subsumed by massive corporate interests, and gummed up with spam and AI slop, the voice of real humans is becoming more and more important. Maybe we can — one blog at a time — get back to the ’90s internet that was full of individuality instead of today’s which is full of ads and spam?

Photo by Mika Baumeister on Unsplash

There’s also something called “Familiarity Blindness” that people like to talk about. It’s a much better name. The only problem is that I can’t find any actual published works that talk about it. No-one authoritative defines or mentions it. It just popped into existence a few years ago. Maybe it’s an LLM hallucination? ↩︎
My favourite commentary on this is Stephen Fry talking about American vs British comedy. ↩︎

Debugging beyond the debugger

2019-05-08T00:00:00Z

Real-life debugging tools

Most programming — and sysadmin — problems can be debugged in a fairly straight forward manner using logs, print statements, educated guesses, or an actual debugger. Sometimes, though, the problem is more elusive. There’s a wider box of tricks that can be employed in these cases but I’ve not managed to find a nice overview of them, so here’s mine. I’m mainly focusing on Linux and similar systems, but there tend to be alternatives available for other Operating Systems or VMs if you seek them out.

Networking

tcpdump

tcpdump prints out descriptions of packets on a network interface. You can apply filters to limit which packets are displayed, chose to dump the entire content of the packet, and so forth.

Typical usage might look something like:

# tcpdump -nSi eth0 port 80
tcpdump: verbose output suppressed, use -v or -vv for full protocol decode
listening on eth0, link-type EN10MB (Ethernet), capture size 262144 bytes
16:03:35.577781 IP6 2001:db8::1.54742 > 2001:db8::2.80: Flags [S], seq 2815779044, win 64800, options [mss 1440,sackOK,TS val 2378811665 ecr 0,nop,wscale 7], length 0
16:03:35.586853 IP6 2001:db8::2.80 > 2001:db8::1.54742: Flags [S.], seq 1522609102, ack 2815779045, win 28560, options [mss 1440,sackOK,TS val 3063610173 ecr 2378811665,nop,wscale 7], length 0
16:03:35.586877 IP6 2001:db8::1.54742 > 2001:db8::2.80: Flags [.], ack 1522609103, win 507, options [nop,nop,TS val 2378811674 ecr 3063610173], length 0
16:03:35.620678 IP6 2001:db8::1.54742 > 2001:db8::2.80: Flags [P.], seq 2815779045:2815779399, ack 1522609103, win 507, options [nop,nop,TS val 2378811708 ecr 3063610173], length 354: HTTP: GET / HTTP/1.1

Here you can see the start of a plaintext HTTP request: the three-way handshake as the TCP connection is established followed by a GET request. Even if the data is encrypted as it will be in most cases, it’s often useful to see the “shape” of the transmissions: did the client start sending data when it connected, did the server ever respond, etc.

Daniel Miessler has a good tutorial on tcpdump if you’re not familiar with it and don’t want to jump straight into the man page.

… with Docker

Docker sets up separate network namespaces for each container. To see the traffic across the interfaces of a single container you can nsenter the container’s network namespace:

# nsenter -t $(docker inspect --format '{{.State.Pid}}' my_container) -n tcpdump -nS port 80

This retrieves the PID for the container, and tells nsenter to enter the network (-n) namespace from the given target (-t) PID, and then run the given command (in this case tcpdump ...).

openssl s_client / s_server

When a connection is using TLS it’s often useful to try connecting to the server and see what certificate it presents, algorithms it negotiates, and so forth. OpenSSL offers two useful subcommands which can help with this: s_client for connecting as a client, and s_server for listening to connections.

For example, using s_client to connect to google.com on the standard HTTPS port shows us details about the server cert and its verification status:

$ openssl s_client -connect google.com:443
CONNECTED(00000003)
depth=2 OU = GlobalSign Root CA - R2, O = GlobalSign, CN = GlobalSign
verify return:1
depth=1 C = US, O = Google Trust Services, CN = Google Internet Authority G3
verify return:1
depth=0 C = US, ST = California, L = Mountain View, O = Google LLC, CN = *.google.com
verify return:1
---
Certificate chain
 0 s:C = US, ST = California, L = Mountain View, O = Google LLC, CN = *.google.com
   i:C = US, O = Google Trust Services, CN = Google Internet Authority G3
 1 s:C = US, O = Google Trust Services, CN = Google Internet Authority G3
   i:OU = GlobalSign Root CA - R2, O = GlobalSign, CN = GlobalSign
---
# ...

Whereas connecting to my webserver and providing an unknown host in the SNI field results in an SSL alert 112 (“The server name sent was not recognized”) and no server certificate is sent:

$ openssl s_client -connect chameth.com:443 -servername example.com
CONNECTED(00000003)
140384831313024:error:14094458:SSL routines:ssl3_read_bytes:tlsv1 unrecognized name:../ssl/record/rec_layer_s3.c:1536:SSL alert number 112
---
no peer certificate available
---
# ...

Often if you hit this kind of alert in an application the exact error will be lost somewhere in the many layers between the SSL library and the logs, so being able to directly connect and test can help diagnose a lot of issues.

Once a connection is established you can read and write plain text and it will be encrypted and decrypted automatically.

Java apps

If a Java app is involved in the connection, you can enable a lot of built-in debugging with a simple JVM property: javax.net.debug. You can tweak what exactly gets logged, but the easiest thing to do is just set the property to all and you’ll see information about certificate chains, verification, and packet dumps:

$ java -Djavax.net.debug=all -jar ....
# ...
found key for : duke
chain [0] = [
[
  Version: V1
  Subject: CN=Duke, OU=Java Software, O="Sun Microsystems, Inc.",
  L=Cupertino, ST=CA, C=US
# ...

More information about Java’s debugging options is available on docs.oracle.com.

Thread and core dumps

Higher-level languages frequently provide an interactive way to dump the current execution state of all of their threads (a “thread dump”). This is useful to spot deadlocks, some types of race conditions, and as a quick and dirty method of investigating hangs or excessive CPU usage.

With both Java and Go applications you can send a QUIT signal to have a thread dump printed out; Go applications will quit after doing so, Java ones will carry on running. At most terminals you can hit Ctrl and \ to send a QUIT signal.

For Java you can also use the jstack tool from the JDK to dump threads by PID; this can be useful if the application is running in the background or has redirected sysout:

$ jstack 8321
Attaching to process ID 8321, please wait...
Debugger attached successfully.
Client compiler detected.

Thread t@5: (state = BLOCKED)
 - java.lang.Object.wait(long) @bci=-1107318896 (Interpreted frame)
 - java.lang.Object.wait(long) @bci=0 (Interpreted frame)
 - java.lang.ref.ReferenceQueue.remove(long) @bci=44, line=116 (Interpreted frame)
 - java.lang.ref.ReferenceQueue.remove() @bci=2, line=132 (Interpreted frame)
 - java.lang.ref.Finalizer$FinalizerThread.run() @bci=3, line=159 (Interpreted frame)

# ...

A core dump provides more complete information about the state of a process, but is often more complex to interpret. The gcore utility from GDB will create a core dump of a process with a given PID. You can then generally load the core file using your normal debugger, depending on the language in question.

System calls

strace is the swiss army knife for seeing what a process is doing. It details each system call made by a program (you can filter them down, of course). For example:

$ strace -e read curl https://google.com/
read(3, "\177ELF\2\1\1\0\0\0\0\0\0\0\0\0\3\0>\0\1\0\0\0 \236\0\0\0\0\0\0"..., 832) = 832
read(3, "\177ELF\2\1\1\0\0\0\0\0\0\0\0\0\3\0>\0\1\0\0\0P!\0\0\0\0\0\0"..., 832) = 832
read(3, "\177ELF\2\1\1\3\0\0\0\0\0\0\0\0\3\0>\0\1\0\0\0\200l\2\0\0\0\0\0"..., 832) = 832
read(3, "\177ELF\2\1\1\0\0\0\0\0\0\0\0\0\3\0>\0\1\0\0\0\20Q\0\0\0\0\0\0"..., 832) = 832
# ...
read(3, "\0\0\0\0\0\0\0\4\25\345\366\302\273sE6\365wI\225\321|\3435Z\362\216\372\215\251aO"..., 253) = 253
<HTML><HEAD><meta http-equiv="content-type" content="text/html;charset=utf-8">
<TITLE>301 Moved</TITLE></HEAD><BODY>
<H1>301 Moved</H1>
The document has moved
<A HREF="https://www.google.com/">here</A>.
</BODY></HTML>
read(3, "\27\3\3\0!", 5)                = 5
# ...

Brendan Gregg has a nice guide on strace and alternatives.

… with docker

When the application is running in docker you can usually just strace it from the host with the correct PID (from e.g. docker inspect --format '{{.State.Pid}}' my_container). Sometimes you may need to trace the startup of an application though, which is a bit trickier. Instead you can run a new container using the same PID namespace as your target, and the permissions needed to strace:

$ docker run --rm -it --pid=container:my_container \
  --net=container:my_container \
  --cap-add sys_admin \
  --cap-add sys_ptrace \
  alpine

From within the new container you can install strace, and trace any running program within the target container using strace -p as normal. To start a new program you need access to the target container’s filesystem, which you can get to via /proc/1/root (PID 1 being the main process that docker started in the target container).

Files

Sometimes the problem might relate to file access. There are a couple of straight forward — but nonetheless useful — tools which might help here. inotifywait uses the Linux inotify subsystem to watch files or directories for operations. For example:

$ inotifywait -mr site/content
Setting up watches.  Beware: since -r was given, this may take a while!
Watches established.
site/content/post/ MODIFY 2019-05-08-debugging-beyond-the-debugger.md
site/content/post/ OPEN 2019-05-08-debugging-beyond-the-debugger.md
site/content/post/ MODIFY 2019-05-08-debugging-beyond-the-debugger.md
site/content/post/ MODIFY 2019-05-08-debugging-beyond-the-debugger.md
site/content/post/ CLOSE_WRITE,CLOSE 2019-05-08-debugging-beyond-the-debugger.md
# ...

Here the -m switch makes inotifywait monitor the files forever (instead of exiting on the first modification, which is the normal behaviour) and r makes it recurse into the directory and monitor each file and subdirectory in there.

If you want to see what processes currently have a file open, fuser is the go-to tool. For example:

$ fuser -v /
                     USER PID ACCESS COMMAND
/:                   root     kernel mount /
                     chris      2961 .rc.. systemd
                     chris      2986 .r... gdm-x-session
                     chris      2994 .r... dbus-daemon
                     chris      3001 .r... gnome-session-b
# ...

Honourable mentions

These aren’t really debugging tools, but I feel it’s worth mentioning as they often feature somewhere along the debugging-of-weird-problems journey.

I’ve seen some weird and wonderful problems happen because a disk is full, so a quick df early on in the debugging process never hurts. Some apps may hang, some may corrupt their config, some may fall over and die; sometimes the manner in which they fail doesn’t obviously point to a disk space issue.

Another issue that comes up now and then — especially inside VMs or other environment that don’t have a decent amount of “noise” happening — is entropy exhaustion. A quick look at /proc/sys/kernel/random/entropy_avail should be enough to confirm that everything is ticking along nicely. If it’s exceedingly low then you may find that anything involving random number generation stalls (TLS connections for example).