Buzzed Drivers Really the Problem?





Token-Incentivized Real-Time Market Research









How Often do Customers Reviews Factor into Your Buying Decisions?









Some of the most popular consumer review websites include Amazon, Google+ Local / Google Places,

TripAdvisor, Yellow Pages and Yelp! (complete

list). TripAdvisor claims to have 455 million active users and over

600 million online reviews. The company reported 1.56 billion USD in revenue for 2017. Yelp reports 145 million

monthly users and a total of 155 million online reviews, while their reported revenue was 847 million USD in 2017.





Token Economy and Platform Details









As displayed in the above chart, Review.Network consists of two interconnected parts: market research and

online reviews. The token rewards are designed in such a way as to:

Encourage the fair use of the platform

Incentivize users to be honest by rewarding truthful behavior and penalizing users who submit false reviews

or surveys

Incentivize users to engage with one another in a way that will lead to the creation of high quality content

Incentivize users to store and use their tokens on the platform instead of selling them

The two main business activities, market research and online reviews, are designed to complement one another

with their respective advantages. Besides earning tokens from completing polls, users can also earn tokens by

writing and validating reviews (as defined in the Validation Protocol section). The more activity on the platform

means more token rewards and an improved reputation for the user.





Dates and details of the ICO

Token: PAT. Main ICO Price: 474 PAT = USD1. Start date: March 25, 2018. End date: April 24, 2018. Bonus: Available. Platform: Ethereum. Accepting: ETH, BTC. Minimum investment: 1 BTC/20 ETH. Hard cap: USD30,000,000. Country: Switzerland.

Milestones

· 07.2014 BITNATION is founded World's first blockchain marriage, world citizenship ID and other pilots! · 04.2015 First iteration of Pangea Using the Horizon chain. Blockchain land title and birth certificate pilots conducted. · 08.2015 Refugee Emergency Response Blockchain ID, Citizen and Embassy functionalities · 11.2015

Public Notary Created in cooperation with Estonia's e-Residency Program Public Notary Created in cooperation with Estonia's e-Residency ProgramPublic Notary Created in cooperation with Estonia's e-Residency Program ·

DBVN and Pangea v. 02 Launch of DBVN on Ethereum, DBVN Resource Center, and Pangea v. 02 on SSB Q1/Q4 2016DBVN and Pangea v. 02 Launch of DBVN on Ethereum, DBVN Resource Center, and Pangea v. 02 on SSB ·

IPFS, PAT and NETEXPLO New IPFS Centric Pangea Backend, PAT Token Design and UNESCO NETEXPLO Award Q1/Q2 2017IPFS, PAT and NETEXPLO New IPFS Centric Pangea Backend, PAT Token Design and UNESCO NETEXPLO Award ·

New Pangea Frontend, Lucy Bot, Oracle and TSE We are here now! Q3/Q4 2017New Pangea Frontend, Lucy Bot, Oracle and TSE We are here now!

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Bitcoin User Name:Mary Laura

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ETH :0x35fedB6E70817f046D7AaB2c2bd6ac6129B80f4B



























Controversy over drivers with low blood alcohol concentrations (BAC) have become a highly salient issue since the proposal to reduce the per se BAC limit to .05 for driving under the influence (DUI) convictions. However, little traffic safety, and no criminological research, has examined this phenomenon. This study fills a deficiency in the literature by utilizing quasi-experimental propensity score matching techniques in combination with multilevel modeling to examine the extent of involvement of low BAC drivers in fatal crashes. The results indicate that low BAC drivers are only involved in a very small portion of crashes and are not at fault in many. In addition, although drivers with low BAC have an increased odds of responsibility for a crash than drivers with no BAC, this increase is much lower than other factors such as age, speed, distractions, drug use, and high BAC. This study discusses the implications of focusing resources on drivers that are not considerable contributors to crashes, such as a predicted increase in arrests.