Pratik Gorasia

Filter bubble is an intellectual isolation created by special algorithm which collect information and data from past browser history, previous search or previous area of interest, location etc. and provide result which users would want to see. Pros: In most of the time user will quickly find what is he looking for according to his area of interest. Example: Someone is interested latest gaming laptops and hence browsed for it in one side. now whenever he will visit any online shop the algorithm will check his past area of interest through past browsing and will show all the new gaming laptop automatically. Cons: As this algorithm will only show you what you things the way you want hence it will bring you away from the reality. For Example: Suppose a political leader/party has two sides. Good and Bad. In past I've only searched for his good things. So every time i will visit the site the smart algorithm will highlight me the similar news about the goodness of that party or person every time and will hide all other news which could be his bad side.

Analysis paralysis refers to a condition when team is not able to move ahead with a decision of over analysis of the available data Extinct by Instinct refers to deadly decisions made based on wrong or incomplete understanding of available information or data Above both can be overcome by below solutions, 1. Prioritizing and sequencing of your decisions. 2. Sub division of decisions 3. Forgot targeted solutions. 4. Find out the aim for making each decision criteria.

Some of the reporting bias types are bellowed mentioned, 1) Citation Bias 2) Language Bias 3) Location Bias 4) Duplicate Publication Bias 5) Outcome Reporting Bias 6) Publication Bias 7) Time lag bias Some of the pre-cautions below mention which may help any organization to safe guard itself from reporting bias. 1) Avoid single person based decision making. Should apply team based approach. 2) By not ignoring outliers, addressing them through proper root cause analysis 3) Accurate sample selection methods, competent sample selection team and validation. 4) Before implanting any important decision, should use simulation models technique wherever possible to get validate outcomes.