>> It's kind of discouraging, right?
I mean.
>> Among them could be the possibility that this water is
expensive, and they just decide that, you know, they're cash constrained.
>> Mm-hm.
>> They don't have the possibility.
Another possibility is, is that they really know that this
treated water is maybe not all it's cracked up to be.
In fact they have to bring it home and store it.
>> Mm-hm.
>> And during the storage process that water can be contaminated,
so this is the typical argument in favor of point of
use treatment is that if you do community level interventions people
don't end up better off because the water gets contaminated later.
>> Mm-hm.
>> Anyway.
>> Mm-hm.
>> We did also try to track other
behaviors because the information was accompanied by a script
that said, you can go and buy this water
from drinking plants, the, the treated drinking water plants.
Or you can do other things.
You can treat your water in house.
You can clean your containers more often.
You can avoid storing water for long periods of time in your house.
You can use safe methods of taking water out of your containers.
And we did see some modest responses along each of those margins as well.
But again, there's, there's, there was no kind of,
signal of really large effect on any of those behaviors.
They were all pretty modest effects.
And this points, I think, to the
complexity of water and sanitation interventions, and
the fact that there's a whole set of things that house holds can do.
And so you know, just targeting a single thing is often
not going to get you the whole way towards safe water.
>> I've got some more questions about India, but why don't we, why don't
we just get the overview of Cambodia, what you found in Cambo, in, in Cambodia.
>> Okay so I mentioned in, in Cambodia that we
did some careful baseline surveys, ahead of doing this information experiment.
And we learn some things in those baseline surveys.
I highlight three things in particular, so the first thing that we
learned, was that water quality is really bad, at the household level.
We tested for ecoli, found high contamination rates.
And it didn't really matter what the source was.
So, we tested water from piped water supplies,
rainwater storage, and as well as public taps.
And we found contamination in all of them,
by the time the household was consuming this water.
And in fact, quality got worse in the house.
So, we did the degradation in the water quality.
Second thing we saw, because we did some
contingent evaluation surveys at the time and questions.
Was that, perceptions are not unrelated to demand for water quality.
That's not surprising obviously it's very hard to say something casual about that
link because the things that drive demand
are are also maybe driving these perceptions.
So that in large part motivated our experiment which was randomized.
Information provision which would kind of shock perceptions.
>> Mm-hm, mm-hm.
>> And give us a clear signal through perceptions and, and demand.
