Taiwan solved tax evasion in 1951 with a trick so cheap it should embarrass every tax authority on the planet.
The problem was an all-cash economy full of small shops. A merchant pockets the cash, skips the receipt, and the sale never existed. Auditors can't catch what was never recorded, and hiring enough of them to watch every noodle stand costs more than the missing tax.
So finance chief Ren Xianqun flipped the incentive. Print a lottery number on every receipt. Draw winners every two months on live TV. Top prize today: NT$10 million, about $310K.
Suddenly the customer and the shopkeeper want opposite things. The merchant wants the sale off the books. The customer wants the ticket. And there are millions more customers than merchants. Every transaction now carries a built-in witness demanding the paper trail.
Year one, reported tax revenue jumped 75%, from NT$29 million to NT$51 million. Seventy-five years later, roughly 70% of Taiwanese still play. Convenience stores redeem the smallest NT$200 prizes at the register, so even a coffee receipt feels like a scratch card.
The elegant part is what the audit force costs. The prize pool runs about NT$7 billion a year, roughly $20 million. In exchange, the government gets 23 million unpaid auditors working every checkout line in the country, forever. No inspector general on earth delivers that coverage at that price.
Greece, Italy, Portugal, and Slovakia all copied it. The most effective compliance tool ever built looks like a game, and that's exactly why it works.
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My friend makes $1.2 million a year as an Anthropic engineer.
I asked him how he learned prompting so well.
He sent me a video that was never supposed to get out. Their core team's prompting playbook.
You won’t find anything better about prompting than this video.
I watched it last night.
Halfway through, I realized I've been using Claude completely wrong for two years.
Watch it, then read the article below.
My girlfriend asked why I was smiling at my phone at 3AM.
I lost my job last week.
Rent due in 4 days.
No backup plan.
Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts.
No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores.
The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin.
Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths.
Trade only fires when 28 out of 31 models agree.
Below 26 votes? Trade dies instantly.
The agent moves faster than any human trading desk:
→ Collects market data 24/7 without breaks
→ Runs continuous simulations inside MiroFish engine
→ Operates fully autonomous with zero manual input
→ Every trade executes only when consensus hits threshold
→ Every dollar captured is pure market inefficiency exploit
That is the entire edge.
Not prediction. Consensus.
Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days.
He spent years learning that certainty is a scam and consensus is the only edge that matters.
You only need Claude + device + 1 hour per day.
Giving this free for 24 hours.
To get it:
1. Comment the word Claude
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3. Follow me @codewithimanshu so I can DM you
Save this post. Build the consensus system this week. Start with $200. Scale on evidence.
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El ingeniero que creó claude code acaba de soltar un video de 28 minutos donde te enseña a escribir prompts que realmente funcionan.
He visto cursos de 300 dólares que no llegan ni a la mitad de lo que explica en los primeros 10 minutos.
Archivos CLAUDE.md, atajos de memoria, sesiones paralelas y patrones de prompting que cambian el juego.
Todo en un solo video y completamente gratis.
Da igual si eres desarrollador, principiante o ya llevas meses usando Claude. Esto te va a volar la cabeza.
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture.
It will teach you more about how LLMs like ChatGPT and Claude are actually built than most people in top AI companies learn across their entire careers.
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