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Correct the example numbers
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basics.md

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@@ -276,15 +276,15 @@ The mutation can have a {attr}`~Mutation.time` or if, as in this case, the times
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mutations in the tree sequence are unknown, all mutations can have the special NaN value
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{data}`tskit.UNKNOWN_TIME`. Notice that the genomic position of the mutation is not
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included. Instead, that is a property of the _site_ to which the mutation refers, in
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this case, site ID 0 (which happens to be at position 257):
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this case, site ID 0 (which happens to be at position 751):
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```{code-cell} ipython3
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print(ts.site(0)) # For convenience, the Python API also returns the mutations at the site
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```
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In the plot above, since the the only mutation is above node 8 in the last tree, and has
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a {attr}`~Mutation.derived_state` of "G", we know that the samples descending from node
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8 in the first tree (sample genomes 2, 4, and 5) have a "G" at {attr}`~Site.position` 257,
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8 in the first tree (sample genomes 2, 3, and 5) have a "G" at {attr}`~Site.position` 751,
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while the others have the {attr}`~Site.ancestral_state` of "T". This means that Ada is
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homozygous for "T", Bob is homozygous for "G", and Cat is heterozygous "T/G".
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In other words the ancestral state and the details of any mutations at that site,

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