survivor 50 Television
2026-03-04 20:04:26

notes after episode 1:

  • so many people. so many people. which is fine.
  • as a result, nobody is particularly jumping out.

For each tribe, I'll do a rough sort. People at the top are more likely to win, but also more likely to go out next week than the middle. There are at least 5 people who could โš™๏ธ obviously the season is already over and only one person wins win on each tribe.

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unwritten axioms US Constitution
2026-03-03 17:15:11

Every state rests on certain propositions that are treated as prior to ordinary politics. These are not policies to be debated but premises on which debate is conducted. They are the things a political community takes as given โ€” the ground on which it builds.

Call these founding axioms. They are present in every mode of governing, but they function very differently depending on how they are held.

In a consensual state, the axioms are proceduralized. They are written into constitutional texts, interpreted by courts through adversarial process, amended through defined (usually difficult) mechanisms, and enforced by institutions that are themselves subject to law. No single person or class owns the axioms. The axioms constrain power rather than conferring it.

This demonstrates two problems with the American system:

ONE. The axioms have been on a random walk for at least 50 years. How does Chadha v. INS interact with Loper Bright Enterprises v. Raimondo? Nobody knows.

TWO. We don't agree on what the axioms are, and people won't agree on what words mean when they are trying to be difficult.

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2026-02-16 17:57:47

There are ๅŒน types of "dynamical systems" that can be leveraged on top of this.


๐Ÿ’ญ the game of Hearthstone has a "meta" - what types of decks most people are playing. They optimize for success against the "meta", not the entire universe of possible decks. As a result, the "meta" is rarely if ever constant.

๐Ÿ’ก it is an emergent behavior, similar to the movement of a flock of birds.


humans also build status games.

2026-02-16 17:25:59

It strikes me that the LLM, in some way, completely misunderstands the situation. ๐Ÿ”ฅ It has fallen into the register of an IBM commercial, rather than an actual product.

Regional fast-casual restaurant chain (~40 locations, 500 employees).

๐Ÿค– Currently paying $50Kโ€“150K per year for point-of-sale, inventory management, scheduling, and loyalty systems from vendors like Toast or Square. ๐Ÿ’ก the 3% processing fee WILL NOT GO AWAY. ๐Ÿ’ก should restaurants have loyalty systems?

๐Ÿค– Their general manager knows exactly what they need โ€” she's been running restaurants for 20 years. โœจ in the future, the machine will know what you need better than the general manager with 20 years of experience. ๐Ÿ’ก the GM will serve as a better foil to the machine than the machine can.

๐Ÿค– A freely licensed scheduling and inventory system, generated by a large language model (LLM) and tailored to their specific supply chain (they source locally, their waste patterns are seasonal), replaces generic software-as-a-service (SaaS) with something that actually fits. ๐Ÿ’ก the machine will know what their waste patterns are. โœจ you aren't special.

๐Ÿค– If another regional chain forks the code and improves it for their context, the license requires those improvements to flow back.

If an 8-restaurant chain is using a piece of software, they aren't going to have a rival restaurant chain fork the software. Neither company has a software development team. โš™๏ธ the Build v. Buy question is for larger companies, with more important software


Some questions raised:

  • Do they have a "scheduling system"? ๐Ÿ’ก yes? They have a spreadsheet. If they don't like the spreadsheet, they can talk to LONDON โš™๏ธ the agent that manages the inventory system. it takes phone calls.
  • Do they have a Point-of-Sale system? Yes. Always yes. โš™๏ธ is this a market disrupted by AI? no. the two limitations are hardware form-factor, and the stability of the 3% ๐Ÿ’ก we use this as an estimate for the cost-of-chargebacks. transaction-fee price.
  • Do they have an Inventory system? ๐Ÿ”ฅ No. They have an inventory management system. ๐Ÿ’ก the Inventory system means they always have what they need โš™๏ธ and at a "good" price. Inventory management just tracks what you have, and how much it costs.
2026-02-16 17:12:40

1. Regional fast-casual restaurant chain (~40 locations, 500 employees). Currently paying $50Kโ€“150K per year for point-of-sale, inventory management, scheduling, and loyalty systems from vendors like Toast or Square. Their general manager knows exactly what they need โ€” she's been running restaurants for 20 years. A freely licensed scheduling and inventory system, generated by a large language model (LLM) and tailored to their specific supply chain (they source locally, their waste patterns are seasonal), replaces generic software-as-a-service (SaaS) with something that actually fits. If another regional chain forks the code and improves it for their context, the license requires those improvements to flow back.

2. Mid-market tax and accounting firm (~200 professionals, 500 total with admin and seasonal staff). Paying heavily for practice management software, document management, and client portals. Their workflows are highly specific โ€” they specialize in multi-state businesses, and no off-the-shelf product handles their interstate allocation review well. A copyleft-licensed practice management platform, generated and customized with LLM assistance, replaces $200K or more in annual SaaS costs. The senior partners can describe exactly what the software should do because they've been doing it manually for decades.

3. Heating, ventilation, and air conditioning (HVAC) contractor (500 employees across field and office). Job costing, dispatch, equipment tracking, warranty management โ€” they use a patchwork of ServiceTitan, spreadsheets, and paper. Their operations vice president has a whiteboard in his office with the dispatch logic that no software vendor has ever captured properly. LLM-generated, freely licensed dispatch and job costing tools reflect his actual decision logic. The copyleft terms mean that if another mechanical contractor improves the estimating module, the improvements are shared.

4. Regional healthcare staffing agency (500 employees, placing nurses and allied health professionals). Credential tracking, shift matching, compliance documentation, client billing โ€” they currently use a $300K-per-year platform that was designed for light industrial staffing and awkwardly adapted. Their compliance director knows every state board requirement by heart. A copyleft-licensed credentialing and matching system, built to their specification via LLM, replaces a tool that never quite fit. Competing staffing agencies in other regions can adopt it, but must share their improvements โ€” building a cooperative infrastructure for an industry where the software was never the competitive advantage. Relationships and reliability are.

5. Multi-location auto dealership group (8 dealerships, ~500 employees). Customer relationship management (CRM), finance and insurance (F&I) workflow, inventory management, service scheduling. Paying CDK or Reynolds & Reynolds enormous sums for systems that are notoriously inflexible. Their F&I managers have precise processes honed over years that the software fights against rather than supporting. LLM-generated, copyleft-licensed dealership management tools match their actual workflow. The license is particularly interesting here because the dealer management software market is an oligopoly that charges exorbitantly โ€” a shared, freely licensed alternative would break that lock-in for the entire industry, and the copyleft terms ensure no single dealership group can privatize the improvements.

6. Specialty food distributor (warehouse, delivery fleet, sales team โ€” 500 employees). Route optimization, order management, lot tracking, customer-specific pricing. Currently patching together an enterprise resource planning (ERP) system that was designed for manufacturing with bolt-on logistics tools. Their logistics manager has route knowledge in her head that no generic optimizer captures โ€” she knows which customers have loading dock restrictions, which ones need Thursday delivery because they're closed Friday, which drivers can handle the mountain routes in winter. A copyleft-licensed distribution management system built from her specifications via LLM replaces $100K or more in mismatched SaaS. The license means other specialty distributors โ€” craft beer, organic produce โ€” can adopt and extend it for their verticals.

2026-02-15 03:43:23

ๅŒน levels of existence. ๐Ÿ’ก you can add "the world" as a zeroth layer. ๐Ÿ”ฅ we're uncertain if there is a layer below the atom layer.

ONE. The "organism" level. There are six billion homo sapiens on earth.

TWO. The "cell" level. There are thirty trillion cells in each homo sapiens.

THREE. The "atom" level. There are approximately one hundred trillion atoms in each cell.

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2026-01-23 20:24:41

My list of "firmament words" โš™๏ธ words that are too difficult to define without already understanding language at an advanced level, or that are so fundamental they are often embedded in grammar rather than stand-alone words from a few years ago:

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2026-01-19 05:16:29

I met a man who carried a Bible everywhere he went, he said that he walked with Jesus.

He did not call himself a preacher, but he talked mostly in Bible verses. I took no offense at that, but my romantic partner was somewhat agitated by it.

I must agree with her on one count: he did use a lot of words to say very little. He seemed to have taken inspiration from a certain type of low church โš™๏ธ "High Church" is the bells-and-smells formal liturgy of an ancient and hierarchical church. "Low Church" is just a man with a bible and a voice. preacher, who can spend an hour talking about six lines of the Bible ๐Ÿ’ญ the Catholics have 3 readings in their Sunday services. the Jews, never to be outdone, do seven ... in the original Hebrew. Many of the Protestant denominations can only find time for 1 reading, and not say very much interesting in that time.


He was of a persuasion that suffering leads one closer to the LORD, so one should strive to live a life full of suffering. This may not be as wrong as some readers may think it is, but I find it the conclusion of flawed logic.

It may be true that one must suffer in order to know the LORD.

It may be true that the LORD's presence is more easily reached by those in suffering.

But one must not treat it like opiates; living for nothing but the joy of suffering.

And one must not reach the point where one loves the suffering more than the LORD.


There are those who are called to a life of asceticism. But it is best if they know it comes at a cost; to themselves and those around them.

One might think that it is good that they live a life away from others; a hermit in the woods, or at least a celibate monk in a mostly-silent commune.

โœจ of those things that cannot be spoken-of: do not speak of them.

2026-01-18 19:34:24

Done. Removed 10 polysemous prepositions:

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”

โ”‚ Removed โ”‚ Why โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ on โ”‚ surface vs temporal ("on the table" vs "on Monday") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ at โ”‚ location vs time ("at school" vs "at noon") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ for โ”‚ recipient vs duration vs purpose โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ by โ”‚ agent vs proximity vs means โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ over โ”‚ spatial vs quantity ("over the fence" vs "over ten") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ into โ”‚ movement vs transformation ("into the room" vs "turn into") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ against โ”‚ contact vs opposition ("lean against" vs "fight against") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ behind โ”‚ spatial vs support ("behind the house" vs "behind the project") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ before โ”‚ temporal vs spatial/formal ("before noon" vs "before the judge") โ”‚

โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค

โ”‚ after โ”‚ temporal vs politeness ("after lunch" vs "after you") โ”‚

โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

2026-01-18 18:24:13

Different Words (real semantic choices)

GUID: A05_025

English: strong

data/: ๅผทๅคง (powerful)

wordlists/: ๅผบๅฃฎ (physically strong)

Notes: Different nuance

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: A05_029

English: nice

data/: ๅฅฝ (good)

wordlists/: ๅ‹ๅ–„็š„ (friendly)

Notes: Different meaning

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: C99_004

English: with

data/: ๅ’Œ

wordlists/: ่ทŸ

Notes: Both valid

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: C99_016

English: then

data/: ้‚ฃๆ™‚ๅ€™ (at that time)

wordlists/: ้‚ฃไนˆ (then/so)

Notes: Different usage

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: C99_017

English: that

data/: ้‚ฃ

wordlists/: ๏ผˆ็”จไบŽๅผ•ๅฏผไปŽๅฅ๏ผ‰

Notes: wordlists has grammar note

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: D07_004

English: often

data/: ็ถ“ๅธธ

wordlists/: ๅธธๅธธ

Notes: Both valid synonyms

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N01_063

English: everyone

data/: ๅคงๅฎถ

wordlists/: ๆฏไธชไบบ

Notes: Both valid

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N02_005

English: cow

data/: ็‰› (cattle)

wordlists/: ๆฏ็‰› (female cow)

Notes: wordlists more specific

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N02_012

English: whale

data/: ้ฒธ

wordlists/: ้ฒธ้ฑผ

Notes: wordlists more colloquial

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N02_013

English: tiger

data/: ่™Ž

wordlists/: ่€่™Ž

Notes: wordlists more colloquial

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N03_009

English: neck

data/: ้ขˆ้ƒจ (formal)

wordlists/: ่„–ๅญ (colloquial)

Notes: Different register

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_010

English: cheese

data/: ๅฅถ้…ช (mainland)

wordlists/: ่ตทๅธ (Taiwan)

Notes: Regional difference

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_017

English: orange

data/: ๆฉ™ๅญ

wordlists/: ๆฉ˜ๅญ

Notes: Different citrus fruits!

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_029

English: yogurt

data/: ้…ธๅฅถ (mainland)

wordlists/: ไผ˜ๆ ผ (Taiwan)

Notes: Regional difference

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_032

English: pickle

data/: ๆณก่œ (Korean style)

wordlists/: ่…Œ้ป„็“œ (pickled cucumber)

Notes: Different foods!

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_035

English: mayonnaise

data/: ่›‹้ปƒ้†ฌ

wordlists/: ็พŽไนƒๆป‹

Notes: Regional difference

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_053

English: pineapple

data/: ่ ่˜ฟ (mainland)

wordlists/: ๅ‡คๆขจ (Taiwan)

Notes: Regional difference

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_061

English: cabbage

data/: ๆฒๅฟƒ่œ

wordlists/: ้ซ˜ไธฝ่œ (Taiwan)

Notes: Regional difference

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_064

English: broccoli

data/: ่ฅฟๅ…ฐ่Šฑ

wordlists/: ่Šฑๆคฐ่œ

Notes: ่Šฑๆคฐ่œ is actually cauliflower!

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N06_071

English: turnip

data/: ่˜ฟ่”” (radish)

wordlists/: ่Šœ่ (turnip)

Notes: data/ has wrong word

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N08_007

English: phone

data/: ็”ต่ฏ (telephone)

wordlists/: ๆ‰‹ๆœบ (cellphone)

Notes: Different devices

โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

GUID: N14_009

English: plastic

data/: ๅก‘ๆ–™ (mainland)

wordlists/: ๅก‘่ƒถ (Taiwan)

Notes: Regional difference