Yo, the meaning of proxied by in math is all about indirect measurement. It’s like when you use a thermometer to proxy for "how hot it feels"—close, but not the same.
In algebra, you might proxy a nasty equation with a simpler one to solve it faster.
For tools, R or Python’s statsmodels lib can help you play with proxy variables.
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Wow, thanks everyone! This makes way more sense now. The examples really helped—especially the BMI and nighttime lights ones.
I’ll def check out StatQuest and Wolfram Alpha. Also, lol @ causal inference—didn’t realize it was such a big deal there.
Quick follow-up: Anyone know if there’s a rule of thumb for when a proxy is "good enough"? Like, how close does the proxy need to be to the real thing?
(Also, glad I’m not the only one who got bombarded with proxy server results haha.)
In algebra, you might proxy a nasty equation with a simpler one to solve it faster.
For tools, R or Python’s statsmodels lib can help you play with proxy variables.
---
Wow, thanks everyone! This makes way more sense now. The examples really helped—especially the BMI and nighttime lights ones.
I’ll def check out StatQuest and Wolfram Alpha. Also, lol @ causal inference—didn’t realize it was such a big deal there.
Quick follow-up: Anyone know if there’s a rule of thumb for when a proxy is "good enough"? Like, how close does the proxy need to be to the real thing?
(Also, glad I’m not the only one who got bombarded with proxy server results haha.)