Ecological Studies of Garbology

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Garbage is a left-over categorized as waste or refuse. These waste substances are either biodegradable or persistent, depending on the biological composition. In most instances, people fail to admire waste substances. Under normal circumstances, landfills activities and incineration processes consume garbage.

However, modern society values garbage to source relevant information while analyzing different households. A compelling analysis based on different samples of trash from various household setups avails information well enough for understanding these setups. A classic example is my household waste that speaks much on economical, religious, and political translation. This essay analyzes certain substances wasted from my household, thus interpreting the logical understanding.

Trash disposed of for one week gives a typical view of people in my residence. The piles of discarded materials are numerous in types, textures, and complexity. In the morning and evening hours, the container constitutes food left-overs. From the same sample, the rubbish usually consists of packaging papers. Ordinarily, it is a compilation of polythene bags and fabric wastes. This trend is a regular issue daily attracting waste scavengers to benefit from the quantity.

Similarly, I noted a surprising trend in the change in waste composition mostly on the weekends. During these days of the week, there is a higher proportion of persistent waste substances: a composition of bottles, broken glass, and plastic wastes. From the week analysis, I can easily conclude that waste from a household depicts a similar trend.

In general, garbage can establish economic characteristics of a residence in a locality. This is a reason to support the fact that junk samples tend to differ in various societies. The nature of garbage reaching a disposal site helps in the economic analysis of their source. From my data, the garbage indicates that residence in this household sustains an above average economic level.

This is in line with the daily trend of food packaging, showing an ability to purchase expensive and already prepared food daily. I claim this fact based on the evidence of the traces of expensive beer bottles I noticed in the trash bin. Members of a household fit a comfortable economic class if their waste regularly attracts scavengers.

On the other hand, the social understanding of a household is based on the type of trash samples. It illustrates a contextual social stratification unusual for a given social group.

Waste materials show enough evidence of a variety of social justification in diverse groups. My samples reflect a social context whereby members enjoy sustainable economic stability. From the traces of alcohol bottles and waste cigars, it is an indication of a social setup whereby drug addiction is not an infringement issue. This evidence suggests the fact that religion is never a priority for the members of the household.

Eventually, interpretation of the waste substances must emphasize the political perspective of a locality. Garbage samples give a reasonable information on some underlying facts based on political systems and cultures. For instance, a piece of the magazine showing the political nature of a place, political events and conditions supports strong attention to the political news. As in my case, data comprises pieces of posters and political fliers. This represents the fact that the household roots in a political establishment.

Thus, effluent samples are an archeological site to assist analysis of a household. Moreover, they give a clear judgment based on political, social, and economic understanding. This suggests that archeologist should not spend most of their time digging for facts. All it takes is to create a daily analysis of data collected from a given dustbin.

Also, data collection from trash is non-controversial since most members from households lack interest in recovering waste materials already in the waste cycle. From my analysis, I stand by the fact that household analysis through garbage sample data is surprisingly easy and accurate.

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