>Is it time

[1972]?

As far as trust, there have always been people that have and will criticize the results but they only have a small view of the prices which doesn't give a true view of inflation. So their criticism is invalid.

The problem with a decentralized version is that people will need to be compensated. People might get together to do it a few times but for it to be useful it needs to get done for as long as there's an American economy. It won't happen without some kind of compensation.

For example, ordinary people already know whether they're being squeezed or not. They don't need a CPI report. If you want them to believe your CPI report over the government's, then you have to do a lot of marketing. On the opposite side, government decision makers are generally moving away from a "technocrat" data-driven approach to decisions, towards a "great man" theory of decision making: giving them better CPI data won't suddenly make them care about using data again. A lot of people are putin in work to dismantle American government capacity, and there are worse problem than inflation tracking.

My personal opinion is that it doesn't make sense to create a community-driven CPI as a direct alternative to the government CPI. But it does make sense to collect a lot of this data for other uses (ex: to highlight illegal collusion among merchants, archival).

From a technical perspective, here are some thoughts from a Canadian lens: * CPI calculations are already fairly transparent. You can read about the work that goes into them (click TOC on upper right: https://www150.statcan.gc.ca/n1/pub/62-553-x/62-553-x2023001...) * Government-collected raw data is not open to the public, because merchants wouldn't have give the govt' access to their POS data if it were otherwise. The Canadian government made a tradeoff: it gets very accurate data, in exchange for it being hidden from the public. * As WheelsAtLarge mentioned, data collection and analysis takes effort and money. Especially when you're doing it for the long term. You'll have to think of funding and keeping people motivated to do the work. * Scraping data might be a lot harder than you expect. I compile the largest open dataset of grocery prices in Canada, and have 20 months' worth of data. Its very difficult to average prices across merchants (because many don't reveal product UPC codes). And prices vary by geography. None of this is insurmountable, but it takes effort and money. Go ahead and play with the data to get a feel for how easy/difficult this is (https://jacobfilipp.com/hammer/)