H = -p log₂ p - (1-p) log₂(1-p). Free online Shannon Entropy (two outcomes) for technology — instant, accurate results, mobile-friendly, no signup needed.
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§01What is
Understanding the Shannon Entropy (two outcomes)
The Shannon Entropy (two outcomes) computes Entropy (bits) from 1 input: p(a). H = -p log₂ p - (1-p) log₂(1-p).
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The Shannon Entropy (two outcomes) sits in that toolkit — it H = -p log₂ p - (1-p) log₂(1-p). Enter your numbers above and the result updates instantly; every step of the math is shown in the Derivation panel so you can see exactly how the answer was reached.
Apply the formula to a realistic set of inputs: P(A) = 0.5.
01Start by noting the input — P(A): 0.5.
02Substitute these values into the formula: {let t=e.p;return-(t × log₂(t)+(1-t) × log₂(1-t))}
03Compute Entropy (bits): the calculator returns 1.
04Cross-check the answer by opening the Derivation panel above — every line of math is shown so you can follow the computation end-to-end.
§04Variants
Common Shannon Entropy (two outcomes) Problems
The formula gets rearranged depending on which variable you need. Here are the patterns you’ll run into in the real world — find the one that matches your problem and follow the worked steps.
01 · PATTERN
P(A) halved
p = 0.25 (from 0.5)
Keep every other input at its default and halve the p(a). See how entropy (bits) responds.
01New P(A): 0.25
02Baseline Entropy (bits): 1
03New Entropy (bits): 0.811278
04Entropy (bits) decreases by 18.9% → use this sensitivity to plan for real-world variation.
§05FAQ
Frequently asked questions
Yes. The calculator implements the standard formula as documented and returns exact floating-point results. No approximations are used unless noted in the formula.
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