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Post by lurker on Dec 21, 2017 1:33:11 GMT -5
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Post by forager1144 on Dec 21, 2017 1:36:38 GMT -5
Would like to think that os an indication that it has picked up some international interest (only available in the USA). But who knows.
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Post by uvula on Dec 21, 2017 8:35:05 GMT -5
Guess #1. Several drug companies are based in Switzerland and maybe their worldwide employee Internet searches go thru Swiss servers.
Guess #2. Are country search numbers normalized by country population size?
If both guesses are correct it might explain this.
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Post by matt on Dec 21, 2017 10:39:20 GMT -5
The reason is explained in the footnotes:
Interest by region
See in which location your term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location, a value of 50 indicates a location which is half as popular, and a value of 0 indicates a location where the term was less than 1% as popular as the peak.
Note: A higher value means a higher proportion of all queries, not a higher absolute query count. So a tiny country where 80% of the queries are for "bananas" will get twice the score of a giant country where only 40% of the queries are for "bananas".
If one person in Switzerland searched on the term Afrezza and got a hit, that would get a 100 score. In the US, a lot of searches might find Afrezza including practically any site tracking the stock price that talks about the product Afrezza.
Likewise, be aware that just because Google tagged a search as Switzerland doesn't mean the person searched from Switzerland. I connect to a number of academic and corporate proxy servers frequently during the work day so my searches may look like they come from the Netherlands, Germany, Canada, or the US regardless of where I am physically in the world at that moment. All that Google, or any other statistics service knows, is the location of the final Internet hop. If somebody is logged into a proxy server the search show the location of the last server that connected to Google and not the location of the client computer that originated the search.
Even without a proxy, the last server might be a cluster in the cloud, like Microsoft's Azure or Amazon's S3 services, and those data centers are located all over the globe. If the Internet is busy during a peak time in the US, traffic might get rerouted to Asia making it look like the search originated in Singapore or India when in fact the search simply passed through a data center in one of those countries. For this reason, snap shots of traffic for short periods of time have become pretty worthless, but trend information may still be useful when tracked over weeks and months.
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Post by akemp3000 on Dec 21, 2017 12:44:46 GMT -5
Find out more about these crazy pills, maybe MNKD Proboards gets a group discount? |
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Post by madog365 on Dec 21, 2017 12:56:26 GMT -5
Guess #1. Several drug companies are based in Switzerland and maybe their worldwide employee Internet searches go thru Swiss servers. Guess #2. Are country search numbers normalized by country population size? If both guesses are correct it might explain this. Many of the short sellers and bashers are based in switzerland - that i can confirm. What i can't confirm is that they work for some of the large drug companies. They are googling afrezza and mannkind constantly or as frequently as they are posting all over the place. |
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Post by traderdennis on Dec 21, 2017 15:34:06 GMT -5
The reason is explained in the footnotes: Interest by region
See in which location your term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location, a value of 50 indicates a location which is half as popular, and a value of 0 indicates a location where the term was less than 1% as popular as the peak.
Note: A higher value means a higher proportion of all queries, not a higher absolute query count. So a tiny country where 80% of the queries are for "bananas" will get twice the score of a giant country where only 40% of the queries are for "bananas".
If one person in Switzerland searched on the term Afrezza and got a hit, that would get a 100 score. In the US, a lot of searches might find Afrezza including practically any site tracking the stock price that talks about the product Afrezza.
Likewise, be aware that just because Google tagged a search as Switzerland doesn't mean the person searched from Switzerland. I connect to a number of academic and corporate proxy servers frequently during the work day so my searches may look like they come from the Netherlands, Germany, Canada, or the US regardless of where I am physically in the world at that moment. All that Google, or any other statistics service knows, is the location of the final Internet hop. If somebody is logged into a proxy server the search show the location of the last server that connected to Google and not the location of the client computer that originated the search.
Even without a proxy, the last server might be a cluster in the cloud, like Microsoft's Azure or Amazon's S3 services, and those data centers are located all over the globe. If the Internet is busy during a peak time in the US, traffic might get rerouted to Asia making it look like the search originated in Singapore or India when in fact the search simply passed through a data center in one of those countries. For this reason, snap shots of traffic for short periods of time have become pretty worthless, but trend information may still be useful when tracked over weeks and months.If you drill down into Switzerland, there is 1 day where interest hit 100, october 19th. All other's hit zero, so it looks like only days with Afrezza searches count in the interst score which was one day. Data noise, ignore and move along. |
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Post by lurker on Dec 21, 2017 16:06:39 GMT -5
The reason is explained in the footnotes: Interest by region
See in which location your term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location, a value of 50 indicates a location which is half as popular, and a value of 0 indicates a location where the term was less than 1% as popular as the peak.
Note: A higher value means a higher proportion of all queries, not a higher absolute query count. So a tiny country where 80% of the queries are for "bananas" will get twice the score of a giant country where only 40% of the queries are for "bananas".
If one person in Switzerland searched on the term Afrezza and got a hit, that would get a 100 score. In the US, a lot of searches might find Afrezza including practically any site tracking the stock price that talks about the product Afrezza.
Likewise, be aware that just because Google tagged a search as Switzerland doesn't mean the person searched from Switzerland. I connect to a number of academic and corporate proxy servers frequently during the work day so my searches may look like they come from the Netherlands, Germany, Canada, or the US regardless of where I am physically in the world at that moment. All that Google, or any other statistics service knows, is the location of the final Internet hop. If somebody is logged into a proxy server the search show the location of the last server that connected to Google and not the location of the client computer that originated the search.
Even without a proxy, the last server might be a cluster in the cloud, like Microsoft's Azure or Amazon's S3 services, and those data centers are located all over the globe. If the Internet is busy during a peak time in the US, traffic might get rerouted to Asia making it look like the search originated in Singapore or India when in fact the search simply passed through a data center in one of those countries. For this reason, snap shots of traffic for short periods of time have become pretty worthless, but trend information may still be useful when tracked over weeks and months.If you drill down into Switzerland, there is 1 day where interest hit 100, october 19th. All other's hit zero, so it looks like only days with Afrezza searches count in the interst score which was one day. Data noise, ignore and move along. It also was along the time that mnkd hit $6! So nothing along with exposure to Europe, I assume. More along the lines of the share price. |
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