Distributed Model Semantics

I sometimes receive questions from engineers at lectures on Distributed and Cooperative Autonomous Network Systems, ML, working groups and others.

"Chief, I think that model is not a Distributed Model, but a Replicated Model."

Many engineers misunderstand how to catch this semantics.
In the case of this semantics, the Distributed Model is as follows.

∀x ( x ∈ Replicated → x ∈ Deistributed ) Replicated ⊆ Distributed ∀x ( x ∈ Segmented → x ∈ Deistributed ) Segmented ⊆ Distributed Distributed = { Replicated, Segmented, ... } Replicated != Segmented

Why does such a misunderstanding happen?
What can be considered as the cause is ambiguous explanation of RAID level or ambiguous naming of distributed system middleware.

For example, although not strictly a mistake,

ex.) Striping of raid 0 is Distributed Model.
ex.) Mirroring of raid 1 is Replicated Model.

As it explains, many engineers misunderstand.
Both RAID 0 and RAID 1 are Distributed Model.

The RAID 0 Model distributes the data after spliting the data.
The RAID 1 Model distributes the data after replicating the data.

If I write so far, you will understand anymore.
Both are Distributed Model.

Of course, it is a Distributed Model because it distributes data.
If you do not distribute and arrange the data, it is not a Distributed Model.

This semantics also does not depend on distributing units.
Whether it is a bit unit, a block unit, a chunk unit, a record unit, a table unit, a file unit, a data resource unit, a node unit, or a cluster It might be a unit.

These are all Distributed Models for the purpose such as HA.