Victor

@victoreram

36 Following

26 Followers

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What resources best articulate what makes a good data visualization?

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I'm with Matt on listening to podcasts. I don't understand the appeal of summarizing podcasts with AI. A good podcast is something to savor like a a conversation with friends or any other form of creative medium

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These two markets are basically asking if you think /polymarket is an efficient market 🤔

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i agree there's a lack of good, original thinkers in the South. how would you go about changing this? It seems that most folks here relate to real, tangible problems rather than abstract intellectual debates. Southern culture is also deeply polite and insular, but I'd argue that is not all that different from cosmopolitan 'elite' circles.

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https://x.com/coinmetrics/status/1815728860421304440

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If her general election head to head probability is 45-50% then multiplying that by being conditional on winning the nomination (92%) gives 40-45% of winning the general election. The former is obviously uncertain though. If you take her nomination as guaranteed then Kamala looks underpriced.

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@ippofujimoto @jordancarlisle @aronshelton.eth @brittkim.eth

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Made a channel for the crypto community in Northwest Arkansas: /nw-arkansas Come thru and say hi!

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but aren't prediction markets burdened conditional on what has been?

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Optimistic Data

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At @coinmetrics we use adjusted transfer value and volume: https://coinmetrics.substack.com/p/state-of-the-network-issue-147

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I agree that the how and the why are more fundamental than the what. All things being equal and living in the world we live in, I see no reason to vote for someone who reaches the wrong conclusion for the wrong reasons over the right conclusion over the wrong reasons.

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yeah you can probably glean from who spammy users follow. More human-like accounts tend to have some randomness in who they follow. Perhaps also looking into cadence in casting (do they cast on regular intervals). Any behavior that can be programmable could be good indicators of spam

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Another common spam behavior is repetition. do many accounts post the same thing? the more complex the content being repeated by many accounts, the higher probability. you can cast a net on spam accounts based on that.

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Do you have access to user data? The spam filtering might be more effective at a account level than the cast level. If you have both you could assess the spaminess of an account based on some sample of their casts

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https://x.com/coinmetrics/status/1813186820361924645

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Depends on your definition of low quality. A lot of "$DEGEN" tipping to be spam. There are other engagement hacking traits that are subjective like overuse of line breaks (clicking see more -> engagement) or casts that follow a <statement> <line break> <question> structure (which would have many false negatives)

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🗣New pod on the block!

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