Zillow vs. cyberhomes. WTH happened to Zillow?

[Sandi Egan]

It seems like Zillow “isn’t working” only when estimates are down.

I can easily see that happening.
Since “real estate never goes down”, the specs did not require the programmers to deal with negative growth.

[dbapig]

I’d use zillow only for Sales history. You can’t predict the future but past sales price is set in stone. You can easily see sales price of a house say in 2002 and you can estimate how you much you should offer for it now.

[dbapig]

I’d use zillow only for Sales history. You can’t predict the future but past sales price is set in stone. You can easily see sales price of a house say in 2002 and you can estimate how you much you should offer for it now.

[dbapig]

I’d use zillow only for Sales history. You can’t predict the future but past sales price is set in stone. You can easily see sales price of a house say in 2002 and you can estimate how you much you should offer for it now.

[dbapig]

I’d use zillow only for Sales history. You can’t predict the future but past sales price is set in stone. You can easily see sales price of a house say in 2002 and you can estimate how you much you should offer for it now.

[dbapig]

I’d use zillow only for Sales history. You can’t predict the future but past sales price is set in stone. You can easily see sales price of a house say in 2002 and you can estimate how you much you should offer for it now.

[CMcG]

Actually, if you go to Zillow discussions, you’ll find several people complaining that their Zestimates are too HIGH (or at least that was true when I last went to Zillow discussions right after Zillow changed its method of doing Zestimates — which, in turn, was right around the time I made my initial post on here). I have no idea why people would complain about that, unless they think their county assessor is taking the Zestimate into account, which is absurd.

[CMcG]

Actually, if you go to Zillow discussions, you’ll find several people complaining that their Zestimates are too HIGH (or at least that was true when I last went to Zillow discussions right after Zillow changed its method of doing Zestimates — which, in turn, was right around the time I made my initial post on here). I have no idea why people would complain about that, unless they think their county assessor is taking the Zestimate into account, which is absurd.

[CMcG]

Actually, if you go to Zillow discussions, you’ll find several people complaining that their Zestimates are too HIGH (or at least that was true when I last went to Zillow discussions right after Zillow changed its method of doing Zestimates — which, in turn, was right around the time I made my initial post on here). I have no idea why people would complain about that, unless they think their county assessor is taking the Zestimate into account, which is absurd.

[CMcG]

Actually, if you go to Zillow discussions, you’ll find several people complaining that their Zestimates are too HIGH (or at least that was true when I last went to Zillow discussions right after Zillow changed its method of doing Zestimates — which, in turn, was right around the time I made my initial post on here). I have no idea why people would complain about that, unless they think their county assessor is taking the Zestimate into account, which is absurd.

[CMcG]

Actually, if you go to Zillow discussions, you’ll find several people complaining that their Zestimates are too HIGH (or at least that was true when I last went to Zillow discussions right after Zillow changed its method of doing Zestimates — which, in turn, was right around the time I made my initial post on here). I have no idea why people would complain about that, unless they think their county assessor is taking the Zestimate into account, which is absurd.

[profhoff]

Zillow’s algorithm is fundamentally flawed. Since they the goal is to monetize Zillow and since consumers think the estimates have validity, this is one heck of a problem.

We’ve been tracking some bizarre Zestimates and the Internet is awash in complaints that Zillow estimates that are too high, too low, or dropping/rising too quickly.

Take your pick!

Zillow flaks (currently David G.) are quick to show up when a new post appears criticizing Zillow, but much slower to proffer any reasonable explanations of the discrepancies. Indeed, they’ve yet to offer anything even remotely resembling a reasonable explanation.

The problem, in my opinion, is not that the model is flawed, but that the algorithm is a black box and consumers use these data as significant inputs for decision making.

The problem is compounded when Zillow justifies the errors by in effect saying, what’s the big deal? people don’t use these numbers anyway.

Sorry, but a profit-making concern can’t have it both ways.

Zillow needs to get better fast or suffer the consequences.

See this thread for a brief discussion of what I consider to be astonishing errors for three model matches very near each other and Zillow’s lame explanation.

What do you think?

[profhoff]

Zillow’s algorithm is fundamentally flawed. Since they the goal is to monetize Zillow and since consumers think the estimates have validity, this is one heck of a problem.

We’ve been tracking some bizarre Zestimates and the Internet is awash in complaints that Zillow estimates that are too high, too low, or dropping/rising too quickly.

Take your pick!

Zillow flaks (currently David G.) are quick to show up when a new post appears criticizing Zillow, but much slower to proffer any reasonable explanations of the discrepancies. Indeed, they’ve yet to offer anything even remotely resembling a reasonable explanation.

The problem, in my opinion, is not that the model is flawed, but that the algorithm is a black box and consumers use these data as significant inputs for decision making.

The problem is compounded when Zillow justifies the errors by in effect saying, what’s the big deal? people don’t use these numbers anyway.

Sorry, but a profit-making concern can’t have it both ways.

Zillow needs to get better fast or suffer the consequences.

See this thread for a brief discussion of what I consider to be astonishing errors for three model matches very near each other and Zillow’s lame explanation.

What do you think?

[profhoff]

Zillow’s algorithm is fundamentally flawed. Since they the goal is to monetize Zillow and since consumers think the estimates have validity, this is one heck of a problem.

We’ve been tracking some bizarre Zestimates and the Internet is awash in complaints that Zillow estimates that are too high, too low, or dropping/rising too quickly.

Take your pick!

Zillow flaks (currently David G.) are quick to show up when a new post appears criticizing Zillow, but much slower to proffer any reasonable explanations of the discrepancies. Indeed, they’ve yet to offer anything even remotely resembling a reasonable explanation.

The problem, in my opinion, is not that the model is flawed, but that the algorithm is a black box and consumers use these data as significant inputs for decision making.

The problem is compounded when Zillow justifies the errors by in effect saying, what’s the big deal? people don’t use these numbers anyway.

Sorry, but a profit-making concern can’t have it both ways.

Zillow needs to get better fast or suffer the consequences.

See this thread for a brief discussion of what I consider to be astonishing errors for three model matches very near each other and Zillow’s lame explanation.

What do you think?

[profhoff]

Zillow’s algorithm is fundamentally flawed. Since they the goal is to monetize Zillow and since consumers think the estimates have validity, this is one heck of a problem.

We’ve been tracking some bizarre Zestimates and the Internet is awash in complaints that Zillow estimates that are too high, too low, or dropping/rising too quickly.

Take your pick!

Zillow flaks (currently David G.) are quick to show up when a new post appears criticizing Zillow, but much slower to proffer any reasonable explanations of the discrepancies. Indeed, they’ve yet to offer anything even remotely resembling a reasonable explanation.

The problem, in my opinion, is not that the model is flawed, but that the algorithm is a black box and consumers use these data as significant inputs for decision making.

The problem is compounded when Zillow justifies the errors by in effect saying, what’s the big deal? people don’t use these numbers anyway.

Sorry, but a profit-making concern can’t have it both ways.

Zillow needs to get better fast or suffer the consequences.

See this thread for a brief discussion of what I consider to be astonishing errors for three model matches very near each other and Zillow’s lame explanation.

What do you think?

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