The real question is how much this would skew the plotted data.Currently, I do split the market into the avg high, mid, and low $/sf segments over time, you can see the high-end (renovated/new) product shifts with the most magnitude (across almost every market not just 91324), but this does not represent absorption like you desire, only $/sf:To research your hypothesis, I would have to:1) Select a year's worth of transactions (ideally across a 10k+ transaction/year market to be representative, say Los Angeles)2) Manually review every transaction's photos, marking them 'Renovated/New' if it is, to segment this transaction data from the rest of the transactions3) Calculate & plot absorption of the 'Renovated/New', and compare it to the absorption of the rest of the transactions4) When overlaid atop one another, their slopes would reveal the impact you mention in your hypothesis #1     -If you are right, we would see the cheap houses slope increase heavily Q1-Q4, with the expensive houses slope decreasing Q1-Q4, and vice-versa.I've run comps thousands of times when underwriting (looking for high-end renovated homes to use as comps) and I have yet to detect such a phenomenon.

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