gambling in alberta - Research Services - University of Lethbridge
gambling in alberta - Research Services - University of Lethbridge
gambling in alberta - Research Services - University of Lethbridge
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the entire file was read to ascerta<strong>in</strong> a) whether the <strong>in</strong>cident was <strong>gambl<strong>in</strong>g</strong> related or not, b) the<br />
type <strong>of</strong> <strong>in</strong>cident, and, c) details <strong>of</strong> the <strong>in</strong>cident. As a reference po<strong>in</strong>t, the number <strong>of</strong> total<br />
reported <strong>of</strong>fences as a function <strong>of</strong> year and <strong>of</strong>fence type were obta<strong>in</strong>ed for <strong>Lethbridge</strong> and<br />
Medic<strong>in</strong>e Hat. The data for <strong>Lethbridge</strong> was taken from the <strong>Lethbridge</strong> Regional Police <strong>Services</strong><br />
annual reports posted on their website. The data for Medic<strong>in</strong>e Hat was provided directly by the<br />
Medic<strong>in</strong>e Hat Police Service. Incident occurrence data can be broken down <strong>in</strong>to 5 general<br />
categories: a) Crimes aga<strong>in</strong>st Persons (e.g., murder, robbery, assault, domestic violence, etc.),<br />
b) Crimes aga<strong>in</strong>st Property (e.g., break and enter, theft, fraud, etc.), c) Vice Crimes (gam<strong>in</strong>g,<br />
liquor, drugs, prostitution, etc.), d) Crim<strong>in</strong>al Code Traffic Violations (impaired operation <strong>of</strong><br />
motor vehicle, refusal to provide breath sample, hit and run, etc.), and e) Other (<strong>in</strong>cidents that<br />
are not crim<strong>in</strong>al <strong>in</strong> nature, but still require police assistance (e.g., attempted suicide, child<br />
neglect/abandonment, breach <strong>of</strong> probation).<br />
The results <strong>of</strong> this <strong>in</strong>vestigation are presented below <strong>in</strong> Table 51, with the results for <strong>Lethbridge</strong><br />
at the top, Medic<strong>in</strong>e Hat <strong>in</strong> the middle, and the comb<strong>in</strong>ed communities at the bottom. These<br />
figures <strong>in</strong>dicate a few th<strong>in</strong>gs. First, that consistent with expectation, the most common type <strong>of</strong><br />
<strong>gambl<strong>in</strong>g</strong>-related <strong>in</strong>cident is property related, account<strong>in</strong>g for 48.7% (184/378) <strong>of</strong> all cases.<br />
Second, consistent with some other <strong>in</strong>dices <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong> exam<strong>in</strong>ed <strong>in</strong> other sections <strong>of</strong><br />
this report, the number <strong>of</strong> <strong>gambl<strong>in</strong>g</strong>-related <strong>in</strong>cidents <strong>in</strong> recent years appears to be somewhat<br />
lower than earlier years. Third, the rate <strong>of</strong> overall <strong>gambl<strong>in</strong>g</strong>-related <strong>in</strong>cidents is quite low,<br />
represent<strong>in</strong>g only 0.6% <strong>of</strong> all <strong>in</strong>cident reports (378/64280).<br />
This low rate <strong>of</strong> occurrence is similar to what was found by Smith, Wynne, & Hartnagel (2003) <strong>in</strong><br />
their exam<strong>in</strong>ation <strong>of</strong> Edmonton police records for 2001 us<strong>in</strong>g a very similar methodology.<br />
These <strong>in</strong>vestigators found a 2.7% rate (338/11198) 84 among the files they exam<strong>in</strong>ed.<br />
Presumably, the 2.7% rate is higher than our 0.6% rate primarily because Smith et al. (2003)<br />
only searched for <strong>gambl<strong>in</strong>g</strong>-related <strong>in</strong>cidents <strong>in</strong> crime categories that were deemed to be most<br />
likely to conta<strong>in</strong> these events, 85 as opposed to the exam<strong>in</strong>ation <strong>in</strong> all categories as was done <strong>in</strong><br />
the present study (thus, their rate would be lower if their denom<strong>in</strong>ator was the total number <strong>of</strong><br />
<strong>in</strong>cidents <strong>in</strong> all categories <strong>in</strong> 2001). This does not negate the possibility that there may also be<br />
true differences between the rates due to different time periods and different communities<br />
(both <strong>of</strong> which might favour higher rates <strong>in</strong> the Smith, Wynne, & Hartnagel (2003) study).<br />
To help gauge the degree <strong>of</strong> underestimation <strong>of</strong> <strong>gambl<strong>in</strong>g</strong>-related <strong>in</strong>cidents <strong>in</strong> the police<br />
records, a comparison was made between the number <strong>of</strong> <strong>in</strong>cidents <strong>of</strong> <strong>gambl<strong>in</strong>g</strong>-related<br />
domestic violence and illegal acts <strong>in</strong> the police records for the years 2008 and 2009,<br />
compared to the number <strong>of</strong> reported <strong>in</strong>stances <strong>in</strong> the <strong>Lethbridge</strong> and Medic<strong>in</strong>e Hat Targeted<br />
population surveys for 2008 and 2009. In the police records there are only 8 cases <strong>of</strong><br />
84 338 is an estimated number that comb<strong>in</strong>es the 234 cases that were identified among the 5196 files, plus 104<br />
cases projected to occur <strong>in</strong> the 6002 files that were not exam<strong>in</strong>ed.<br />
85 Murder, Attempted Murder, Manslaughter, Extortion, Robbery, Counterfeit<strong>in</strong>g, Fraud, Bett<strong>in</strong>g house, Gam<strong>in</strong>g<br />
House, Other Gam<strong>in</strong>g & Bett<strong>in</strong>g, Organized Crime Occurrence, Coca<strong>in</strong>e Traffick<strong>in</strong>g, Suicides, Attempted Suicides,<br />
Family Disputes.<br />
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