Can a string of data be both random and meaningless?

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High randomness is often associated with high information content, yet random patterns are typically considered devoid of meaning. The concept of "meaning" may depend on the observer's perspective, as a random string could hold significance for recording or transmission purposes. Analyzing the randomness of a data string requires examining a sufficiently long sequence to draw accurate conclusions. Within a truly random dataset, recognizable patterns can emerge, challenging the notion of randomness. Ultimately, the relationship between randomness and meaning is complex and context-dependent.
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It is convenient to assign high randomness high information.
Random patterns, however, supposedly present no meaning. So how can information be meaningless?

What is "meaning" and is it relative to "the observer"?
 
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One way to look at it is that a truly random string of data would need more information to transmit it faithfully than a non random string. With a non random string, it would always be possible (in principle) to send less information to reconstruct it perfectly.
The random sequence may have no 'meaning' to an observer but it could, for instance, be necessary to record or transmit that sequence. It has then 'acquired' a meaning or relevance to an observer.

To establish 'just how random' a string of data is, it would be necessary to analyse it. That would involve looking at a very long (infinite) string of data if you really wanted to be sure. Within a string of truly random data, it would be quite possible to find a string of 11001100110011001100110011001100, which, on its own, would not appear to be random.
 
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