the compression claim · assertion
A claim that the vocabulary of folk terms is a redundant encoding of a small set of situations, such that the range of parameters they model is narrow compared to the number of terms. It persists only if a new sample of words, chosen without seeing the original terms, closes within a similar window.
Examples
- English color terms like 'crimson', 'scarlet', and 'ruby' all refer to red wavelengths between 600–700 nm, clustering tightly in CIE 1931 chromaticity space. linguistics
- Unix system calls such as 'read', 'write', and 'open' handle over 90% of I/O operations across diverse hardware on Linux 5.15 kernels. computing
- In 2023, 74% of venture capital deals in Germany used standardised SAFE agreements drafted by Berlin startup accelerators. economics
Emergence
from: narrow range parameter model number terms words sample choose see original new close similar compare persist sets small window
through: These components collectively model whether linguistic terms, when resampled independently, converge semantically within a constrained parameter space, indicating redundancy.
- constrained semantic convergence
- redundancy across independent sampling
- persistence of narrow linguistic encoding
Chain to foundations
- the compression claimL12
- narrowL5
- rangeL3 (shown above)
- parameterL4
- modelL9
- patternL0 (shown above)
- likeL3
- actL3
- changeL1 (shown above)
- interactionL2
- saysL8
- messageL7
- informationL6
- differenceL1 (shown above)
- marksL5
- patternL0 (shown above)
- entitiesL4
- othersL2 (shown above)
- boundaryL2 (shown above)
- distinctL3
- differenceL1 (shown above)
- othersL2 (shown above)
- spaceL0 (shown above)
- putL3
- informationL6
- othersL2 (shown above)
- distinctL3 (shown above)
- entitiesL4 (shown above)
- getL5
- makeL4 (shown above)
- messageL7
- numberL6
- differenceL1 (shown above)
- distinctL3 (shown above)
- othersL2 (shown above)
- spaceL0 (shown above)
- marksL5 (shown above)
- termsL11
- partL1 (shown above)
- differenceL1 (shown above)
- conditionL3 (shown above)
- expressL10
- stateL2 (shown above)
- informationL6 (shown above)
- conditionL3 (shown above)
- makeL4 (shown above)
- meanL9
- meaningL8
- informationL6 (shown above)
- differenceL1 (shown above)
- stateL2 (shown above)
- knowledgeL7
- informationL6 (shown above)
- peopleL6
- othersL2 (shown above)
- setsL3
- patternL0 (shown above)
- othersL2 (shown above)
- boundaryL2 (shown above)
- differenceL1 (shown above)
- persistL1 (shown above)
- distinctL3 (shown above)
- entitiesL4 (shown above)
- interactingL4
- interactionL2 (shown above)
- touchL3 (shown above)
- groupsL5
- timeL0 (shown above)
- patternL0 (shown above)
- stateL2 (shown above)
- meaningL8
- meaningL8 (shown above)
- informationL6 (shown above)
- meanL9 (shown above)
- meaningL8 (shown above)
- specificL3
- justL2
- differenceL1 (shown above)
- patternL0 (shown above)
- differenceL1 (shown above)
- othersL2 (shown above)
- justL2
- useL6
- wordsL10
- wordsL10 (shown above)
- sampleL11
- pieceL3
- wholeL3
- exampleL10
- itemsL4
- lawL3
- rulesL9
- lawL3 (shown above)
- orderL8
- parameterL4 (shown above)
- windowL7
- narrowL5 (shown above)
- regularL1 (shown above)
- controlL4 (shown above)
- patternL0 (shown above)
- showL7
- useL6 (shown above)
- actL3 (shown above)
- takeL6
- chooseL10
- seeL6 (shown above)
- originalL5
- newL4
- closeL5
- spaceL0 (shown above)
- differenceL1 (shown above)
- littleL4
- extentL3 (shown above)
- differenceL1 (shown above)
- bigL2
- spaceL0 (shown above)
- differenceL1 (shown above)
- othersL2 (shown above)
- spaceL0 (shown above)
- similarL2
- patternL0 (shown above)
- differenceL1 (shown above)
- compareL9
- differenceL1 (shown above)
- likeL3 (shown above)
- relationL8
- persistL1 (shown above)
- setsL3 (shown above)
- smallL4 (shown above)
- windowL7 (shown above)
Neighborhood
Concepts that depend on this one above; what it is built from below.