“My momma cleaned hunter’s cabins and those hunters were real nice men if you know what I mean.”
I’m a bit dense. They were “nice” to each other, or “nice” to him, or they were actually nice looking, or…?
“My momma cleaned hunter’s cabins and those hunters were real nice men if you know what I mean.”
I’m a bit dense. They were “nice” to each other, or “nice” to him, or they were actually nice looking, or…?
oh right true, that’s the issue – stock android
weird. If I hover over the timestamp it says: July 24th 2025, but yeah I also see “2 years ago”
Must be an australian thing
Weird. Also a Pixel4a user (condolences to both of us), but I had LineageOS on mine and was rooted, but I’ve had no software updates. I get reminders from LineageOS that a new build is available, but I just swipe right because if it ain’t broke don’t fix
deleted by creator
starred comment, thanks for this
Arent they still off-sourcing the actual recycling to anither country?
number 2 works less well if you are off white
Bertha Wegmann - Portrait of a Young Woman in Thought
Sure, I’ll bet in Dollars and take the number equivalent payout in Euros
can you say that a bit quieter please, we’re at a wedding
shi man is the unsung hero we need right now
they did the same thing during the victorian era with the smoke stacks, to save on horizon rendering. Things were so much faster and elegant back then
LIMMEH
we’re talking extreme fluid dynamics are we not
hierarchical letter clustering would be my guess, or graph-based clustering using ngrams of 2-4 as nodes and maximising for connections.
Or using an optimized Regex and printing out the DFA?
Edit: Quick N-gram analysis (min=3, max=num letters in that month)
library(ngram)
tmonths = c("january", "february", "march",
"april", "may", "june", "july",
"august", "september", "october",
"november", "december")
zzz = lapply(tmonths, function(mon){
ng = ngram::ngram_asweka(paste(unlist(strsplit(mon, split="")), collapse=" "), min=3, max=nchar(mon))
return(gsub(" ", "", ng))
})
res = sort(table(unlist(zzz)))
res[res > 1]
This gives the following 9 ngram frequencies greater than 1:
ary uar uary emb embe ember mbe mber ber
2 2 2 3 3 3 3 3 4
As you can see two longest most common motifs are “em-ber” and “uar-y”
Using this I propose the following graph
stateDiagram
direction LR
sept --> em
nov --> em
dec --> em
em --> ber
oc --> to
to --> ber
feb --> uar
uar --> y
jan --> uar
ju --> ne
ju --> l
l --> y
ma --> r
ma --> y
r --> ch
a --> p
p --> r
r --> il
a --> u
u --> gust
Genuine Question:
if you could split the month names into 3, how would you split them to maximise their choice overlap?
Ah okay – as in, he seemed to like it(?) but he was also way too young for it to have been having it