How to Defend Yourself Against Misleading Statistics in the News
Book:
• Babbie, E. (2016). The basics of social research (7th ed.). Boston, MA: Cengage Learning. ISBN: 978-1-305-50307-6
Read Chapter 14 in provided link: https://docs.google.com/document/d/1nXPogwrlei1dXHFw4SU5w3dNyQSGpHgo/edit?usp=sharing&ouid=106796094328861362768&rtpof=true&sd=true
Watch Video:
“How to Defend Yourself Against Misleading Statistics in the News”: https://youtu.be/tkOeNgoYP6Q
Assignment:
• Please watch the TEDx YouTube video.
• Next, respond to the following questions:
o Have you seen any examples of misleading statistics in the news recently? **Covid deaths and vaccine injuries. Explain.
o Are you more likely to forgive misleading statistics if you agree with their message? No, there should be integrity in journalism/government. Yes, I am acutely aware of how hypocritical that sounds since I use this service to get help with my assignments.
o What questions should we ask when presented with statistical data?
regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it's anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are 'recoded' and allocated to lumps. Consequently the ends that can be drawn from Miller's unique work is that, while there is an acknowledged breaking point to the quantity of pieces of data that can be put away in prompt (present moment) memory, how much data inside every one of those lumps can be very high, without unfavorably influencing the review of similar number
Sample Solution
Yes, I have seen several examples of misleading statistics in the news recently. Most notably, there has been a significant amount of misinformation surrounding Covid-19 related deaths and vaccine injuries. For instance, some media outlets have reported that the number of Covid-related fatalities is vastly higher than it actually is. This was largely caused by inaccurate estimates based on models rather than actual death counts (Humphries & MacKay, 2020). Additionally , some reports have attempted to link the administrations approval for emergency use authorization for certain vaccines with an increase in adverse events resulting from their use . However data collected by Centers Disease Control Prevention suggests that majority reactions experienced mild moderate side effects such those involving injection site pain redness swelling making them quite minor compared life-threatening consequences posed virus itself thus proving these claims false (CDC ).
Another example misleading statistics involves media coverage recent drop unemployment rate which was portrayed as sign economy recovering post pandemic situation however closer examination reveals this not necessarily case given fact most figures derived surveying households ’ earnings rather direct measurement job losses both sectors private public spheres . As result although appears rate decreased dramatically actual numbers reflected slight decrease true extent employment status status quo pre-Covid era meaning image being presented reality far different one portrayed aforementioned news reports (Bryant 2020) .
To conclude , present day media often misrepresents facts order sell stories public eye thus important be aware prevalence these instances whenever reading articles newspapers / magazines television programs alike ensure accuracy information received before believing anything said . It also wise refer official sources data provided relevant institutes organizations such Centers Disease Control Prevention order cross check claims made avoid getting misled any way possible protect oneself from financial physical harm associated with wrong decisions taken based off false information.