| 0:00:14 | my name is not my rabbit the level of from university of given so i'm |
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| 0:00:18 | it is this would then and i'm working on dilemma is fundamentally need to predictability |
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| 0:00:22 | of signal planets it's that we should |
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| 0:00:27 | a second planets compressed granted that in |
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| 0:00:30 | the present map with that |
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| 0:00:32 | a possible i will have to talk only major data be using for described it's |
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| 0:00:37 | i do what i digitise from the web at all |
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| 0:00:41 | a climate pretty standard nets the top on the topic and set of |
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| 0:00:46 | and its closest of with the l is the improvement brought that beyond that members |
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| 0:00:51 | of the probably all about you words |
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| 0:00:54 | a data from my and not at a medical consonants you know it's that african |
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| 0:01:00 | continent and the some punches in a after that |
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| 0:01:05 | it only in the topic and then and lagos nigeria |
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| 0:01:10 | a you did a |
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| 0:01:12 | is it on |
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| 0:01:13 | by members of be probably kind that's why would receive so many example members ranging |
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| 0:01:18 | from |
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| 0:01:19 | that's the example members to want as one is then we members |
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| 0:01:23 | a result in a almost one terabytes of data |
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| 0:01:28 | we had been able to as an ally this guitar |
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| 0:01:32 | and to find what you all examples rates |
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| 0:01:36 | dimensional you put a stop predictability also is an act playmates over a is that |
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| 0:01:41 | an african root mean |
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| 0:01:43 | and we have got some fantastic |
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| 0:01:48 | results |
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| 0:01:48 | that's two |
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| 0:01:50 | you very useful for like it's model as and a question i would have focused |
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| 0:01:54 | as |
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| 0:01:56 | all about africa |
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| 0:01:58 | presented this was that it is about finding the influence |
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| 0:02:02 | all the global sse on my sorrow for example sprites |
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| 0:02:06 | and we find i doubt robust a topic and old |
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| 0:02:10 | we find that |
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| 0:02:12 | you met does also predictability |
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| 0:02:14 | besides body atlanta seeps |
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| 0:02:18 | a pasty features on intonational |
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| 0:02:21 | and a specific tally all these |
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| 0:02:25 | also predictability has out in place |
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| 0:02:28 | analysis in a business |
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| 0:02:31 | and this |
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| 0:02:32 | climatic in this what's |
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| 0:02:35 | a model as |
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| 0:02:36 | and the |
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| 0:02:38 | a present a forecast us to be able to simple it's properly you know that |
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| 0:02:42 | get |
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| 0:02:43 | however for task |
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| 0:02:45 | you fully and accurately |
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