Identify logical weaknesses and gaps in an argument
Per-row — runs once for each row.
WEAKNESSES({{ argument }})WEAKNESSES({{ argument }}, '{{ severity }}'){{ argument }} WEAKNESSES| name | type | description |
|---|---|---|
| argument | VARCHAR | — |
| severity(optional) | VARCHAR | Minimum severity: 'minor', 'moderate', 'major', or 'all' |
Identifies sampling bias / hasty generalization
SELECT
weaknesses (
'Everyone I know loves this restaurant, so it must be the best in the city'
)Identifies post hoc fallacy / correlation vs causation
SELECT
weaknesses (
'Sales increased after we changed the logo, proving the rebrand worked'
)Bayesian A/B test (Beta-Binomial) returning full posterior + recommendation
Assess the confidence/quality of a cascade execution result.
Compare values in a group for similarities, differences, and patterns
Generate the strongest counterargument to a position
Differentially-private count (Laplace mechanism, sensitivity=1)
Differentially-private mean (Laplace mechanism)
Identify logical weaknesses and gaps in an argument
Per-row — runs once for each row.
WEAKNESSES({{ argument }})WEAKNESSES({{ argument }}, '{{ severity }}'){{ argument }} WEAKNESSES| name | type | description |
|---|---|---|
| argument | VARCHAR | — |
| severity(optional) | VARCHAR | Minimum severity: 'minor', 'moderate', 'major', or 'all' |
Identifies sampling bias / hasty generalization
SELECT
weaknesses (
'Everyone I know loves this restaurant, so it must be the best in the city'
)Identifies post hoc fallacy / correlation vs causation
SELECT
weaknesses (
'Sales increased after we changed the logo, proving the rebrand worked'
)Bayesian A/B test (Beta-Binomial) returning full posterior + recommendation
Assess the confidence/quality of a cascade execution result.
Compare values in a group for similarities, differences, and patterns
Generate the strongest counterargument to a position
Differentially-private count (Laplace mechanism, sensitivity=1)
Differentially-private mean (Laplace mechanism)