What is āBitcoinās price in confidenceā?
Asking for a nooby friend
What is āBitcoinās price in confidenceā?
Asking for a nooby friend
My read was that the %age is a reflection on his confidence in the prediction
Ie on 31 Dec 2025 heās 95% certain of a 70k usd Bitcoin price and 5% of a 820k price
Understood, thank you š
ChatGPTās explanation fwiw š
Excellent question ā this term āprice in confidenceā (as used in that table and post) refers to Bitcoin price forecasts expressed as statistical confidence intervals.
Hereās what that means in plain language:
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š 1. Confidence intervals:
A confidence interval is a range that expresses uncertainty in a forecast.
It doesnāt predict a single price ā it shows a band of possible outcomes based on a mathematical model.
For example, in the table:
⢠The 50% column is the median forecast ā the ācentralā or most likely scenario.
⢠The 25% and 75% columns mark the range that 50% of predicted outcomes are expected to fall within.
⢠The 5% and 95% columns show the outer edges ā meaning the model estimates only a 5% chance that Bitcoinās price will be below the 95% band or above the 5% band.
So, the ā95% confidence intervalā roughly means:
āWeāre 95% confident the actual Bitcoin price will be between these two numbers.ā
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š 2. āPrice in confidenceā explained:
When the post says āprice in confidenceā, it refers to these model-generated intervals showing how confident the researchers are that Bitcoinās price will exceed certain thresholds.
In the table, for example:
⢠The 95% band (USD 0.07 M) means thereās only a 5% chance Bitcoin will end below $70 K at the end of 2025.
⢠The 5% band (USD 0.82 M) means thereās a 95% chance itāll end below $820 K.
So, rather than saying āBitcoin will be $270 K in 2025,ā the model says:
āThereās a 50% probability itāll be above $270 K, 25% chance itāll be above $440 K, and only a 5% chance itāll be above $820 K.ā
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š§ 3. Why this matters:
This approach acknowledges uncertainty in long-term forecasts ā especially for something as volatile as Bitcoin.
Itās more statistically honest to present a distribution of likely prices rather than a single guess.