Examples
Examples
Try the starting example
- Readings [elapsed hours,instrument moisture reading]; enter JSON
- [[0,40],[2,30],[4,22]]
- User comparison reading threshold
- 25
- Observed change per hour
- -4.5
- First measured threshold crossing (hours or text)
- 4
- Last measured threshold margin
- 3
Try another scenario
- Readings [elapsed hours,instrument moisture reading]; enter JSON
- [[0,45],[2,35],[5,25]]
- User comparison reading threshold
- 28
- Observed change per hour
- -4
- First measured threshold crossing (hours or text)
- 5
- Last measured threshold margin
- 3
Calculation method
Calculation method
Observed change per hour
(last reading−first reading)/(last time−first time).
First measured threshold crossing (hours or text)
Earliest observed sample whose reading<=threshold; no interpolation or extrapolation.
Last measured threshold margin
Threshold−last reading; nonnegative means latest reading within entered threshold.
Symbols and units
- a
- Readings [elapsed hours,instrument moisture reading]; enter JSON
- b
- User comparison reading threshold
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Observed instrument readings on the same user scale; linear trend descriptive only, no guaranteed drying or safe-use time. Supported limits: All numeric inputs and computed intermediates must remain finite. Supported numeric input magnitude is zero or 1e-12 through 1e12 in absolute value; reject values outside this bounded range. All lists/JSON record tables are limited to 100 records unless a stricter bound is stated; reject malformed record arity and wrong member types. At least2 strictly increasing times; readings on one consistent instrument scale; finite threshold.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.