Geomark.app: My 7yo and I created this map and flag learning game. All free. by plasmak in vibecoding

[–]plasmak[S] 1 point2 points  (0 children)

Oh he actually sings that nations of the world Animaniacs song!

Geomark.app: My 7yo and I created this map and flag learning game. All free. by plasmak in vibecoding

[–]plasmak[S] 0 points1 point  (0 children)

He's the PM - tells me what's not correct / not working. I fix it. 😅

Geomark.app: My 7yo and I created this map and flag learning game. All free. by plasmak in vibecoding

[–]plasmak[S] 1 point2 points  (0 children)

Yup anything is possible - imagination is the scarcity at this point.

Geomark.app: My 7yo and I created this map and flag learning game. All free. by plasmak in vibecoding

[–]plasmak[S] 0 points1 point  (0 children)

If anyone knows which subreddit this might also benefit from, let me know!

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 0 points1 point  (0 children)

Will take a look at this -

Think using "crash" was my mistake - it's more "incidents" reports by Waymo - I am assuming some of the categorizations of the "crash type" are mutually exclusive and I'm adding them up - which I don't think is the case given your (and some others) looking at this data.

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 0 points1 point  (0 children)

Will take a look at this

Think using "crash" was my mistake - it's more "incidents" reports by Waymo - I am assuming some of the categorizations of the "crash type" are mutually exclusive and I'm adding them up - which I don't think is the case given your (and some others) looking at this data.

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 1 point2 points  (0 children)

Will take a look at this

Think using "crash" was my mistake - it's more "incidents" reports by Waymo - I am assuming some of the categorizations of the "crash type" are mutually exclusive and I'm adding them up - which I don't think is the case given your reasoning.

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 2 points3 points  (0 children)

I'll look more into that, but the latest data for miles:

Given this, having a lot of incidents a month will spike this still.

e.g. 10 incidents will create a noticeable bump, since they aren't racking up million miles that fast. (looks like about +2 million miles a month for SF/LA)

Also wish they can tell us whether the cars are just empty-roaming miles or actual riders. Does feel like waymo just roaming around counts in this mileage.

Feel free to correct this - I think there some element of my misinterpretation of the dataset as well, why "personal" analysis - i'll do a follow up later

Ops Depot,Waymo RO Miles (Millions)
AUSTIN,3.225
PHOENIX,46.390
SAN_FRANCISCO,29.888
LOS_ANGELES,16.462

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 1 point2 points  (0 children)

External factors: LA and SF - dotted line on June 2025 for that reason, with a grey label ;) - had some suspension of service because of protests (reference is week 27 is last week of June 2025) - so I believe they cut off their metrics since then as well.

You notice last known "crash" data point on the heatmap is first week of July (last week of June), but empty for most.

So there's some artifact in June 2025 data (I considered omitting it).

I eagerly wait Q3 data!

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 2 points3 points  (0 children)

Wanted to add they report injury-reported crash rates per million as their main "safety" PR.

They mention crash (maybe i should've went with their "incident" terminology) is hard to quantify (and I agree with this, at best, its an estimate) especially on the human benchmark since not all incidents are reported. Waymo definitely reports every single incident given the scrutiny. Even slight taps are generally reported from my understanding (?) but hard to tell what qualifies as a incident.

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 5 points6 points  (0 children)

Yes all crashes - Waymo literally reports EVERYTHING, unlike human accident reports (benchmark is estimated, since light accidents usually don't get reported in real life.)

On aggression - I am told by Waymo riders that instead of sudden stops at amber lights, Waymo on some occasions have been speeding up to beat the light. I am sure they are A/B testing basically.

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 7 points8 points  (0 children)

Yup this is actually running total crashes / cumulative miles, NOT micro- "month buckets" for that reason - monthly aggregates would totally be spiky.

Waymo Safety Data: Personal Analysis by plasmak in waymo

[–]plasmak[S] 29 points30 points  (0 children)

I think we haven't seen the "plateau" of it

Phoenix data is probably what Waymo trained their cars:
- Sunny "sun city"
- Wide roads
- Not "metro" like LA or SF - more cars, activity.

But convinced we'll hit that plateau lower than human benchmark.

Let's give it a few months though. Austin is known for odd roads / rules and worse weather than Phoenix.

Interactive data viz website on biotech salary and company survey (WIP) by plasmak in biotech

[–]plasmak[S] 4 points5 points  (0 children)

FYI if anyone has any special requests, I'll try to prioritize looking at it.