I feel like after Trump fired the employment stats guy why can we trust any data coming out? https://www.bls.gov/news.release/cpi.t01.htm They know they should just lie to make Trump look good
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146 sats \ 3 replies \ @Undisciplined 12 Aug
You absolutely shouldn't trust it now and you're entirely correct about the new incentives. I know people running into this very issue trying to get their work out. Most of the time it gets squashed earlier in the publication process than this.
However, those data should always have been met with a lot of skepticism. For one, they're well known for usually needing massive corrections. And, for two, the BLS is notoriously biased, even by government research standards.
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142 sats \ 2 replies \ @carter OP 12 Aug
Are there any sources we can trust? Or some way to independently verify or generate it? Stick rasberry pi outside of mcdonalds with AI to count cars and estimate how much business they are doing? Scrapers to grab HEB price data?
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93 sats \ 1 reply \ @optimism 12 Aug
For CPI? Do it locally, at the county level; will give you much more meaningful information (for you)
- Make a basket of products
- Scrape the hell out of every webshop for the prices of these
- Augment with crowdsourced receipts for things you're low on scrape data for.
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174 sats \ 0 replies \ @Undisciplined 12 Aug
@BlokchainB's point is the key. In a sense, these aggregate numbers are meaningless, because it's individuals who face idiosyncratically changing price levels.
My approach, to just have a general sense of what's going on, is to look at the official numbers, compare it to my own experience, read some critique of the official stats from reputable folks, and generally just not put much stock in it.
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142 sats \ 0 replies \ @BlokchainB 12 Aug
My CPI is different than your CPI. As time goes on I no longer pay attention to this data as a rate I must beat.
Nominal vs real rates is such a scam
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